{ "schemaVersion": "deck-intelligence.v1", "id": "019f6b8f-5b47-7109-8306-e799a04583ce", "slug": "jarvis-retina-pitch-deck", "title": "Retina Pitch Deck", "subtitle": "retina-pitch-deck", "author": "retina-pitch-deck", "pageCount": 12, "kind": "pitchdeck", "document": { "id": "019f6b8f-5b47-7109-8306-e799a04583ce", "slug": "jarvis-retina-pitch-deck", "title": "Retina Pitch Deck", "rawTitle": "Retina Pitch Deck", "authorId": "retina-pitch-deck", "authorName": null, "authorDisplay": "retina-pitch-deck", "kind": { "slug": "pitchdeck", "label": "Pitch deck" }, "sourceType": { "slug": "investor_relations", "label": "Investor relations" }, "fileName": "jarvis-retina-pitch-deck.pdf", "sourceUrl": "file://Jarvis_Resources/Retina-Pitch-Deck.pdf", "sourceDate": null, "presentationDate": null, "ingestedAt": "2026-07-16 15:33:05.049105+00", "status": "ready", "pageCount": 12, "orientation": null, "aspectRatio": null, "targetCompany": null, "targetTicker": null, "metadata": { "corpus": "jarvis", "industry": null, "local_root": "/Users/miguelsuredasuau/Desktop/jarvis-staging/decks/jarvis-retina-pitch-deck", "image_width": 1995, "image_format": "jpg", "deck_type_raw": "pitch-deck", "deck_type_slug": null, "source_url_pattern": null } }, "coverage": { "pageCount": 12, "pagesIndexed": 12, "pagesWithImages": 12, "pagesWithMetadata": 12, "imageCoveragePct": 100, "metadataCoveragePct": 100, "componentCount": 64, "chartCount": 3, "metricSlides": 0, "toolMatches": 9, "documentToolMatches": 0, "frameworkMatches": 5, "arcMatches": 1, "beatMatches": 7, "loopMatches": 2, "patternMatches": 0, "storymakersMatch": false, "scoreAvailable": false, "reviewAvailable": false, "activistThesisAvailable": false, "pitchdeckMetadataAvailable": false, "pitchdeckProfileAvailable": false }, "blocks": [], "matches": { "arcs": [ { "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "matchId": "95b4def4-f5c9-49ad-a5c6-4181d1c1566e", "evidence": "The deck follows a clear problem-agitate-solution arc, presenting a problem, agitating it, and then providing a solution.", "isPrimary": true, "confidence": 0.8, "extraction": { "at": "2026-07-16 23:21:42.736994+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "beats": [ { "to": 3, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 2, "name": "Problem", "beatId": "dbe69fae-aabb-49af-8a2a-a376240fef3a", "matchId": "95b4def4-f5c9-49ad-a5c6-4181d1c1566e", "beatType": { "name": "Problem (Identify pain)", "slug": "problem-agitate-solution-problem-identify-pain", "status": "active", "canonId": "019dd9b8-0e78-74bb-b8f6-54348367a131", "version": 1, "description": null }, "evidence": "The deck identifies the problem of companies overlooking unprofitable customers and focusing on averages.", "position": 0, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 4, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 3, "name": "Agitate", "beatId": "adbeb464-0313-4bff-ae84-70243a1528d1", "matchId": "95b4def4-f5c9-49ad-a5c6-4181d1c1566e", "beatType": { "name": "Agitate (Make it worse)", "slug": "problem-agitate-solution-agitate-make-it-worse", "status": "active", "canonId": "019dd9b8-0f5a-71dd-bae7-8fadb0d09456", "version": 1, "description": null }, "evidence": "The deck agitates the problem by highlighting the $1.2T of customer-level spend that can be optimized.", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Development", "slug": "development", "status": "active", "canonId": "019dd9b8-0332-7008-b3aa-11b0840a57b1", "version": 1, "description": "The middle stretch in arcs that have one. Often where length problems creep in." }, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 7, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 5, "name": "Solution", "beatId": "c258224f-de05-4550-ba63-7457a4c6845f", "matchId": "95b4def4-f5c9-49ad-a5c6-4181d1c1566e", "beatType": { "name": "Solution (Provide relief)", "slug": "problem-agitate-solution-solution-provide-relief", "status": "active", "canonId": "019dd9b8-0fee-73e9-9ae5-799c7f3895cd", "version": 1, "description": null }, "evidence": "The deck provides a solution to the problem, highlighting Retina's algorithm and Customer ID level scores.", "position": 2, "isPrimaryArc": true, "parentBeatType": { "name": "Resolution", "slug": "resolution", "status": "active", "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b", "version": 1, "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution." }, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 4, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 4, "name": "Market Size", "beatId": "b8c276a5-1793-4ec6-a905-e9ebb0a30817", "matchId": "95b4def4-f5c9-49ad-a5c6-4181d1c1566e", "beatType": { "name": "Market Size", "slug": "sequoia-pitch-market-size", "status": "active", "canonId": "019dd9b8-20e6-729c-bc28-05442906d032", "version": 1, "description": null }, "evidence": "The deck presents the market size and opportunity for growth.", "position": 3, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 7, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 5, "name": "Solution", "beatId": "42a49895-9cbe-4095-939e-4afeef7bcd77", "matchId": "95b4def4-f5c9-49ad-a5c6-4181d1c1566e", "beatType": { "name": "Solution", "slug": "sequoia-pitch-solution", "status": "active", "canonId": "019dd9b8-1fb1-71d9-a260-07738d7f9c2f", "version": 1, "description": null }, "evidence": "The deck presents Retina's solution and how it works.", "position": 4, "isPrimaryArc": true, "parentBeatType": { "name": "Turn", "slug": "turn", "status": "active", "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54", "version": 1, "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat." }, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 11, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 11, "name": "Team", "beatId": "83598cd2-cfee-40da-866c-777398dcc89b", "matchId": "95b4def4-f5c9-49ad-a5c6-4181d1c1566e", "beatType": { "name": "Team", "slug": "sequoia-pitch-team", "status": "active", "canonId": "019dd9b8-23c9-746f-aaf9-2f5d83892cf3", "version": 1, "description": null }, "evidence": "The deck presents the Retina Leadership Team.", "position": 5, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 12, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 12, "name": "The Ask", "beatId": "cc027137-a247-4cab-a057-d4c5186af587", "matchId": "95b4def4-f5c9-49ad-a5c6-4181d1c1566e", "beatType": { "name": "The Ask", "slug": "sequoia-pitch-the-ask", "status": "active", "canonId": "019dd9b8-24f3-72bf-940a-74d06fd9396b", "version": 1, "description": null }, "evidence": "The deck presents the ask for funding to fuel growth.", "position": 6, "isPrimaryArc": true, "parentBeatType": { "name": "Resolution", "slug": "resolution", "status": "active", "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b", "version": 1, "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 4, "from": 2, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null, "categoryName": "Urgency", "categorySlug": "urgency" }, "matchId": "1841cd74-f2f3-4fb9-93ec-16668bf3fb4c", "evidence": "The deck highlights the $1.2T of customer-level spend that can be optimized, implying a cost of inaction.", "position": 0, "objective": "What is the cost of inaction for companies not optimizing their customer-level spend?", "confidence": 0.7, "extraction": { "at": "2026-07-16 23:21:43.103919+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 7, "from": 4, "loop": { "name": "40_mece_breakdown", "slug": "40-mece-breakdown", "status": "active", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "canonId": "019dd956-763c-765e-8b68-6ee3ae1ef184", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories", "familyLabel": null, "categoryName": "Consulting Framework", "categorySlug": "consulting-framework" }, "matchId": "6f8b6d40-6f8f-4651-b7ff-7f2a0188d0df", "evidence": "The deck presents Retina's algorithm and Customer ID level scores as a solution to optimize customer-level spend.", "position": 1, "objective": "How can Retina's solution provide a MECE breakdown of customer-level spend?", "confidence": 0.6, "extraction": { "at": "2026-07-16 23:21:43.147031+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "tools": [ { "tool": { "name": "Slide recipe: Cover", "slug": "cover-slide", "status": "active", "bestFor": null, "canonId": "019df269-2a08-767d-9128-e7431e6fe8a3", "version": 1, "bodyDocId": "019df269-29e5-7738-b5fa-6892e5dc8e65", "description": "The first ten seconds. Build it deliberately.", "familyLabel": "slide-recipe", "categoryName": "Slide", "categorySlug": "slide" }, "agent": "designer", "layer": "slide", "agents": [ "designer" ], "matchId": "030789df-444a-42cf-944c-10119602153e", "evidence": "title/action-title: Score Sooner, Spend Smarter", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-17 02:20:15.617739+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 1, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "2x2 matrix", "slug": "matrix-2x2", "status": "active", "bestFor": null, "canonId": "019dd9e1-50ab-72d1-8afb-3ab0a38e32a8", "version": 1, "bodyDocId": null, "description": "BCG matrix, importance/urgency, any axes-and-quadrants frame.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "e944222c-c21a-4500-84a0-022f7863e3ad", "evidence": "diagram/hub-spoke: Retina platform utility across departments", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-17 02:20:04.453631+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Audience Definition", "slug": "audience-definition", "status": "active", "bestFor": null, "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756", "version": 1, "bodyDocId": null, "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "eb9f7764-d7c1-426a-9b8d-91079bc44851", "evidence": "list/bullet: Sales & Marketing: Acquisition, Budget optimization, Retention, Messaging", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 02:20:04.403331+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Authority citation", "slug": "authority-citation", "status": "active", "bestFor": null, "canonId": "019dd9e1-49ae-7557-89ad-3fca70469b45", "version": 1, "bodyDocId": null, "description": "Quoting an authority figure, study, or precedent to lend weight.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "f6732bd3-13e6-49dc-ade0-2585b3ec5a88", "evidence": "image/logo-grid: Logos of Capital One Shopping, Nestle, Madison Reed, Dollar Shave Club, Eaze, Brickell, The Because Market, Randall Reilly", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-17 02:20:04.625978+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Social Proof", "slug": "social-proof", "status": "active", "bestFor": null, "canonId": "019dd956-990d-7620-82b3-6dd286f34568", "version": 1, "bodyDocId": null, "description": "People adapt behavior based on what others do - show adoption and testimonials", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "2e78d076-7abb-4e2e-a928-90467c38c3d7", "evidence": "quote/testimonial: Working with Retina has been one of the best investments that we have made as a business.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-17 02:20:04.563523+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Before-After-Bridge", "slug": "before-after-bridge", "status": "active", "bestFor": null, "canonId": "019dd956-8604-7188-883f-42370288ad05", "version": 1, "bodyDocId": null, "description": "Narrative structure: Paint the before, show the after, explain the bridge", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "2ebd102b-18a7-4182-8bd1-7efecb1c066f", "evidence": "Solution: Optimize your campaign budgets in near real-time with predictive CLV available at first purchase.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-17 02:20:04.798389+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Problem-Agitate-Solve (PAS)", "slug": "problem-agitate-solve-pas", "status": "active", "bestFor": null, "canonId": "019dd956-869f-7564-8d42-de54ed29ab90", "version": 1, "bodyDocId": null, "description": "Identify problem, agitate the pain, present the solution", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "1e0c8c85-75e0-400c-82a9-500a5993f26d", "evidence": "Problem: You need to wait for 4+ customer transactions to optimize your acquisition campaigns.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-17 02:20:04.736357+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Audience Segmentation", "slug": "audience-segmentation", "status": "active", "bestFor": null, "canonId": "019dd956-8079-7046-8e6b-ecdf1bf15590", "version": 1, "bodyDocId": null, "description": "Grouping audience by attitude toward your message: Champions, Neutrals, Skeptics", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "6b42c78f-0085-4d30-ba44-37e4dd4a721c", "evidence": "paragraph/paragraph: Solution: Use Retina Personas to determine the product features associated with high-value customers.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-17 02:20:04.960687+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 10, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Customer journey map", "slug": "customer-journey-map", "status": "active", "bestFor": null, "canonId": "019de52d-1b26-7499-98c8-1091acc836be", "version": 1, "bodyDocId": null, "description": null, "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "ee3539fb-daab-443a-808e-2a3baa436ac2", "evidence": "table/data: Segment #, %Total Revenue, Population Size, LTR, Hair Type, Skin Sensitivity, Subscribe Ever, Frequency Change, Source, Click Rate", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 02:20:04.917204+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 10, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "ef0e05f3-cbe1-41c9-b0c7-72a5362f99b8", "evidence": "Visualizing LTV distribution vs average cost", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-07-16 19:07:22.775+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "frameworkName": "analytical-method" }, { "matchId": "27eb80ff-ab9a-478f-b346-86e0b1a1f959", "evidence": "Timeline showing prospect to churn stages", "framework": null, "confidence": 0.008, "extraction": { "at": "2026-07-16 19:07:23.271+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 3, "frameworkName": "customer-journey-map" }, { "matchId": "de8e52bf-2c81-416e-870b-52010571a710", "evidence": "Centralized data platform feeding into multiple functional departments", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-07-16 19:07:23.081+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "frameworkName": "hub-spoke" }, { "matchId": "1e385d71-1763-4758-a2a6-6b2abbaa626b", "evidence": "The slide explicitly structures the content as Problem, Solution, and Results.", "framework": null, "confidence": 1, "extraction": { "at": "2026-07-16 19:07:23.237+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "frameworkName": "before-after-bridge" }, { "matchId": "850c8611-a8a7-4c51-8cbf-eeb4218d7626", "evidence": "The slide uses a table to break down customers into distinct segments based on behavioral and demographic attributes.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 19:07:23.653+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 10, "frameworkName": "audience-segmentation" } ], "patterns": [] }, "storymakers": null, "score": null, "review": null, "activistThesis": null, "pitchdeck": { "metadata": null, "profile": null }, "slides": [ { "page": 1, "type": "setup", "function": "front_matter", "imagePath": "https://imgproxy.kitesheet.com/U5SsJj54yd8hVM7_BcQUtMjFpWo63FZO2xrXvP7Kh0k/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9qYXJ2aXMtcmV0aW5hLXBpdGNoLWRlY2svcDAwMS5qcGc", "rawType": "cover", "block": null, "metadata": { "slideType": "cover", "slideTypeCanon": { "name": "Cover", "slug": "cover", "status": "active", "canonId": "019de52d-05f2-729d-9f93-e0504f0a2410", "version": 1, "description": null }, "function": "front_matter", "functionCanon": { "name": "Front matter", "slug": "front_matter", "status": "active", "canonId": "019de52d-133d-73f0-9e26-201eda96b098", "version": 1, "description": null }, "density": "sparse", "densityScore": 9, "componentCount": 3, "textChars": 33, "nDataPoints": 0, "notes": null, "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "at": "2026-07-16 19:07:21.485+00", "seconds": 1.849, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019f6b8f-5b47-7109-8306-e799a04583ce/1", "deck": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce", "deckAnchor": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce#slide-1", "deckJson": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce.json" }, "components": [ { "bbox": { "h": 0.9, "w": 0.6, "x": 0.4, "y": 0.05 }, "kind": "image", "text": null, "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:21.485+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bbc9b02e-befe-4e44-b933-738decea63a9", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.25, "x": 0.07, "y": 0.25 }, "kind": "title", "text": "Score Sooner, Spend Smarter", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:21.485+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "404bce93-6d9c-4bce-b44d-04071164fa54", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.15, "x": 0.12, "y": 0.15 }, "kind": "title", "text": "RETINA", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:21.485+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2271654d-faaa-4340-8b9f-c933b67ad88e", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Slide recipe: Cover", "slug": "cover-slide", "status": "active", "bestFor": null, "canonId": "019df269-2a08-767d-9128-e7431e6fe8a3", "version": 1, "bodyDocId": "019df269-29e5-7738-b5fa-6892e5dc8e65", "description": "The first ten seconds. Build it deliberately.", "familyLabel": "slide-recipe", "categoryName": "Slide", "categorySlug": "slide" }, "agent": "designer", "layer": "slide", "agents": [ "designer" ], "matchId": "030789df-444a-42cf-944c-10119602153e", "evidence": "title/action-title: Score Sooner, Spend Smarter", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-17 02:20:15.617739+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 1, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [], "loops": [], "thumbSrc": "https://imgproxy.kitesheet.com/CIWS8wBGWt1qKgqswnS8bLn1hZitqC3LUOEfHCkM2uM/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9qYXJ2aXMtcmV0aW5hLXBpdGNoLWRlY2svcDAwMS5qcGc", "imagePathAlt": "https://imgproxy.kitesheet.com/EfjW9MeNhJ7o0oWm9ZHAymBkLt7n1OvcccXU-iEIke8/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9qYXJ2aXMtcmV0aW5hLXBpdGNoLWRlY2svcDAwMS5wbmc", "thumbSrcAlt": "https://imgproxy.kitesheet.com/sXp1tU1MmQ8GQoGEuzJqghquEJk3VybU4oXfKK1oB6Q/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9qYXJ2aXMtcmV0aW5hLXBpdGNoLWRlY2svcDAwMS5wbmc" }, { "page": 2, "type": "tension", "title": "Uses a LTV distribution curve to demonstrate the 'average' fallacy.", "function": "frame_problem", "rawType": "pain_points", "block": null, "metadata": { "slideType": "pain_points", "slideTypeCanon": { "name": "Pain points", "slug": "pain_points", "status": "active", "canonId": "019de52d-08a0-761d-a14f-1dbc5e447381", "version": 1, "description": null }, "function": "frame_problem", "functionCanon": { "name": "Frame problem", "slug": "frame_problem", "status": "active", "canonId": "019de52d-13db-753e-ad70-e9b2d0dab398", "version": 1, "description": null }, "density": "dense", "densityScore": 71, "componentCount": 7, "textChars": 498, "nDataPoints": 2, "notes": "Uses a LTV distribution curve to demonstrate the 'average' fallacy.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "at": "2026-07-16 19:07:22.775+00", "seconds": 2.957, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019f6b8f-5b47-7109-8306-e799a04583ce/2", "deck": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce", "deckAnchor": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce#slide-2", "deckJson": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce.json" }, "components": [ { "bbox": { "h": 0.1, "w": 0.2, "x": 0.2, "y": 0.4 }, "kind": "callout", "text": "Intersection point reveals 45% of customers are unprofitable", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:22.775+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "53701d3a-1db1-464e-a44d-f248a407854b", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.15, "x": 0.5, "y": 0.4 }, "kind": "callout", "text": "Plot a line for average customer acquisition cost", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:22.775+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "720f0124-9b96-4e64-ad9c-b5995c7bd9e6", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.15, "x": 0.55, "y": 0.2 }, "kind": "callout", "text": "Plot each customer's LTV from lowest to highest", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:22.775+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bd2930fd-cdde-4d70-ab00-c97ce77db37e", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.5, "x": 0.05, "y": 0.2 }, "kind": "chart", "text": "LTV distribution curve", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:22.775+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a7910a38-d04d-4f96-8a13-47d537bdbc7a", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.1, "x": 0.8, "y": 0.15 }, "kind": "image", "text": "Emad Hasan", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Headshot", "slug": "headshot", "status": "active", "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf", "version": 1, "description": null }, "framework": null }, "subkind": "headshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:22.775+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "99872477-409a-48d9-a811-6d03581f1f14", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.2, "x": 0.75, "y": 0.45 }, "kind": "quote", "text": "I experienced this first-hand when I was running merchant analytics at PayPal. Companies get away with a large unprofitable customer base because they look at profitability in aggregate", "attrs": null, "canon": { "kind": { "name": "Quote", "slug": "quote", "status": "active", "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a", "version": 1, "description": "Pull quote or testimonial." }, "tool": null, "subkind": { "name": "Testimonial", "slug": "testimonial", "status": "active", "canonId": "019de52c-fc21-71b6-9ac3-8266a64945e8", "version": 1, "description": null }, "framework": null }, "subkind": "testimonial", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:22.775+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "794cf4f1-89f1-4d85-ab09-a1a7127c639a", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.7, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "At most companies, 30-50% of customer base is lifetime unprofitable but companies overlook this because they look at averages", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:22.775+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0dde7756-4476-44bd-b34a-096ceed85d3e", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "ef0e05f3-cbe1-41c9-b0c7-72a5362f99b8", "evidence": "Visualizing LTV distribution vs average cost", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-07-16 19:07:22.775+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "frameworkName": "analytical-method" } ], "arcBeats": [ { "to": 3, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null }, "from": 2, "name": "Problem", "beatId": "dbe69fae-aabb-49af-8a2a-a376240fef3a", "matchId": "95b4def4-f5c9-49ad-a5c6-4181d1c1566e", "beatType": { "name": "Problem (Identify pain)", "slug": "problem-agitate-solution-problem-identify-pain", "status": "active", "canonId": "019dd9b8-0e78-74bb-b8f6-54348367a131", "version": 1, "description": null }, "evidence": "The deck identifies the problem of companies overlooking unprofitable customers and focusing on averages.", "position": 0, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 4, "from": 2, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "1841cd74-f2f3-4fb9-93ec-16668bf3fb4c", "evidence": "The deck highlights the $1.2T of customer-level spend that can be optimized, implying a cost of inaction.", "position": 0, "objective": "What is the cost of inaction for companies not optimizing their customer-level spend?", "confidence": 0.7, "extraction": { "at": "2026-07-16 23:21:43.103919+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 3, "type": "tension", "title": "Uses a timeline/curve diagram to highlight the gap between acquisition spend and LTV optimization.", "function": "frame_problem", "rawType": "pain_points", "block": null, "metadata": { "slideType": "pain_points", "slideTypeCanon": { "name": "Pain points", "slug": "pain_points", "status": "active", "canonId": "019de52d-08a0-761d-a14f-1dbc5e447381", "version": 1, "description": null }, "function": "frame_problem", "functionCanon": { "name": "Frame problem", "slug": "frame_problem", "status": "active", "canonId": "019de52d-13db-753e-ad70-e9b2d0dab398", "version": 1, "description": null }, "density": "dense", "densityScore": 68, "componentCount": 7, "textChars": 565, "nDataPoints": 0, "notes": "Uses a timeline/curve diagram to highlight the gap between acquisition spend and LTV optimization.", "elementsJson": null, "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "at": "2026-07-16 19:07:23.271+00", "seconds": 3.149, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019f6b8f-5b47-7109-8306-e799a04583ce/3", "deck": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce", "deckAnchor": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce#slide-3", "deckJson": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.15, "x": 0.25, "y": 0.15 }, "kind": "callout", "text": "Largest spend at customer level is during customer acquisition", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.271+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "68db88a6-49a6-4f36-ba41-7d121325f8d5", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.15, "x": 0.1, "y": 0.65 }, "kind": "callout", "text": "When companies should start optimizing spend", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.271+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "998b1bed-c741-4c9d-9959-108a66122713", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.2, "x": 0.4, "y": 0.65 }, "kind": "callout", "text": "Most of the LTV optimization today is focused on retention and increasing LTV after acquisition", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.271+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ff050d32-2561-4174-9c09-e927bffb08d7", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.65, "x": 0.05, "y": 0.15 }, "kind": "chart", "text": "Customer journey spend curve", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.271+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a0e61b55-6daf-4a71-b6cf-e75a7916c559", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.1, "x": 0.8, "y": 0.15 }, "kind": "image", "text": "Emad Hasan", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Headshot", "slug": "headshot", "status": "active", "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf", "version": 1, "description": null }, "framework": null }, "subkind": "headshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.271+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "99199483-8d83-4c21-8719-75e15827be6a", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.2, "x": 0.75, "y": 0.5 }, "kind": "quote", "text": "At Facebook I noticed how customer level profitability problem is created. Facebook and Google are asking companies to pay millions to acquire customers and then asking them to wait 3-12 months to measure ROI", "attrs": null, "canon": { "kind": { "name": "Quote", "slug": "quote", "status": "active", "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a", "version": 1, "description": "Pull quote or testimonial." }, "tool": null, "subkind": { "name": "Testimonial", "slug": "testimonial", "status": "active", "canonId": "019de52c-fc21-71b6-9ac3-8266a64945e8", "version": 1, "description": null }, "framework": null }, "subkind": "testimonial", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.271+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d9af3d14-058b-4ca6-b455-ad542864d1e6", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.7, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Most consumer/account level spend is early in the customer journey focused on just conversions and not long term value", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.271+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9e499fe0-88b5-4630-bd76-d17f1728def5", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "27eb80ff-ab9a-478f-b346-86e0b1a1f959", "evidence": "Timeline showing prospect to churn stages", "framework": null, "confidence": 0.008, "extraction": { "at": "2026-07-16 19:07:23.271+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 3, "frameworkName": "customer-journey-map" } ], "arcBeats": [ { "to": 3, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null }, "from": 2, "name": "Problem", "beatId": "dbe69fae-aabb-49af-8a2a-a376240fef3a", "matchId": "95b4def4-f5c9-49ad-a5c6-4181d1c1566e", "beatType": { "name": "Problem (Identify pain)", "slug": "problem-agitate-solution-problem-identify-pain", "status": "active", "canonId": "019dd9b8-0e78-74bb-b8f6-54348367a131", "version": 1, "description": null }, "evidence": "The deck identifies the problem of companies overlooking unprofitable customers and focusing on averages.", "position": 0, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 4, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null }, "from": 3, "name": "Agitate", "beatId": "adbeb464-0313-4bff-ae84-70243a1528d1", "matchId": "95b4def4-f5c9-49ad-a5c6-4181d1c1566e", "beatType": { "name": "Agitate (Make it worse)", "slug": "problem-agitate-solution-agitate-make-it-worse", "status": "active", "canonId": "019dd9b8-0f5a-71dd-bae7-8fadb0d09456", "version": 1, "description": null }, "evidence": "The deck agitates the problem by highlighting the $1.2T of customer-level spend that can be optimized.", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Development", "slug": "development", "status": "active", "canonId": "019dd9b8-0332-7008-b3aa-11b0840a57b1", "version": 1, "description": "The middle stretch in arcs that have one. Often where length problems creep in." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 4, "from": 2, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "1841cd74-f2f3-4fb9-93ec-16668bf3fb4c", "evidence": "The deck highlights the $1.2T of customer-level spend that can be optimized, implying a cost of inaction.", "position": 0, "objective": "What is the cost of inaction for companies not optimizing their customer-level spend?", "confidence": 0.7, "extraction": { "at": "2026-07-16 23:21:43.103919+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 4, "type": "resolution", "function": "size_opportunity", "rawType": "market_sizing", "block": null, "metadata": { "slideType": "market_sizing", "slideTypeCanon": { "name": "Market sizing", "slug": "market_sizing", "status": "active", "canonId": "019de52d-08c8-756c-8664-733b73a7ee7b", "version": 1, "description": null }, "function": "size_opportunity", "functionCanon": { "name": "Size opportunity", "slug": "size_opportunity", "status": "active", "canonId": "019de52d-147b-7568-8828-a74a27697618", "version": 1, "description": null }, "density": "sparse", "densityScore": 12, "componentCount": 1, "textChars": 99, "nDataPoints": 2, "notes": null, "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "at": "2026-07-16 19:07:22.057+00", "seconds": 1.707, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019f6b8f-5b47-7109-8306-e799a04583ce/4", "deck": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce", "deckAnchor": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce#slide-4", "deckJson": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce.json" }, "components": [ { "bbox": { "h": 0.7, "w": 0.9, "x": 0.05, "y": 0.15 }, "kind": "title", "text": "$1.2T of Customer Level Spend Can be Optimized Representing a $500M+ Revenue Opportunity for Retina", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:22.057+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bf97b11e-c0fa-49cd-97ec-930b4f130dff", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 4, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null }, "from": 3, "name": "Agitate", "beatId": "adbeb464-0313-4bff-ae84-70243a1528d1", "matchId": "95b4def4-f5c9-49ad-a5c6-4181d1c1566e", "beatType": { "name": "Agitate (Make it worse)", "slug": "problem-agitate-solution-agitate-make-it-worse", "status": "active", "canonId": "019dd9b8-0f5a-71dd-bae7-8fadb0d09456", "version": 1, "description": null }, "evidence": "The deck agitates the problem by highlighting the $1.2T of customer-level spend that can be optimized.", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Development", "slug": "development", "status": "active", "canonId": "019dd9b8-0332-7008-b3aa-11b0840a57b1", "version": 1, "description": "The middle stretch in arcs that have one. Often where length problems creep in." }, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 4, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null }, "from": 4, "name": "Market Size", "beatId": "b8c276a5-1793-4ec6-a905-e9ebb0a30817", "matchId": "95b4def4-f5c9-49ad-a5c6-4181d1c1566e", "beatType": { "name": "Market Size", "slug": "sequoia-pitch-market-size", "status": "active", "canonId": "019dd9b8-20e6-729c-bc28-05442906d032", "version": 1, "description": null }, "evidence": "The deck presents the market size and opportunity for growth.", "position": 3, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 4, "from": 2, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "1841cd74-f2f3-4fb9-93ec-16668bf3fb4c", "evidence": "The deck highlights the $1.2T of customer-level spend that can be optimized, implying a cost of inaction.", "position": 0, "objective": "What is the cost of inaction for companies not optimizing their customer-level spend?", "confidence": 0.7, "extraction": { "at": "2026-07-16 23:21:43.103919+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 7, "from": 4, "loop": { "name": "40_mece_breakdown", "slug": "40-mece-breakdown", "status": "active", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "canonId": "019dd956-763c-765e-8b68-6ee3ae1ef184", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories", "familyLabel": null }, "matchId": "6f8b6d40-6f8f-4651-b7ff-7f2a0188d0df", "evidence": "The deck presents Retina's algorithm and Customer ID level scores as a solution to optimize customer-level spend.", "position": 1, "objective": "How can Retina's solution provide a MECE breakdown of customer-level spend?", "confidence": 0.6, "extraction": { "at": "2026-07-16 23:21:43.147031+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 5, "type": "resolution", "function": "present_solution", "rawType": "solution", "block": null, "metadata": { "slideType": "solution", "slideTypeCanon": { "name": "Solution", "slug": "solution", "status": "active", "canonId": "019de52d-0eb5-72ff-8b70-ba70a4199282", "version": 1, "description": null }, "function": "present_solution", "functionCanon": { "name": "Present solution", "slug": "present_solution", "status": "active", "canonId": "019de52d-15b8-71da-bd23-2b767850cbce", "version": 1, "description": null }, "density": "dense", "densityScore": 64, "componentCount": 6, "textChars": 628, "nDataPoints": 0, "notes": null, "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "at": "2026-07-16 19:07:23.322+00", "seconds": 2.868, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019f6b8f-5b47-7109-8306-e799a04583ce/5", "deck": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce", "deckAnchor": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce#slide-5", "deckJson": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce.json" }, "components": [ { "bbox": { "h": 0.2, "w": 0.9, "x": 0.05, "y": 0.2 }, "kind": "image", "text": null, "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Icon grid", "slug": "icon-grid", "status": "active", "canonId": "019de52c-fdfe-749d-9990-1db465a3eed4", "version": 1, "description": null }, "framework": null }, "subkind": "icon-grid", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.322+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b920ede2-f9cc-4421-a437-3ef0c4828b14", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.2, "x": 0.52, "y": 0.25 }, "kind": "list", "text": "Quality of Customers: Detailed analysis of a company's customer base; Built-in competitor reports using panel data", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.322+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "212b34e7-3788-4796-8837-e3535ce1a5a0", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.2, "x": 0.75, "y": 0.25 }, "kind": "list", "text": "Acquisition Optimization: No IDFA or Cookies required to measure campaign effectiveness; Measures campaign effectiveness in terms of CLV", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.322+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "74325a64-c243-4456-81e9-2df32ebc7386", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.2, "x": 0.28, "y": 0.25 }, "kind": "list", "text": "Marketing Personas: Identifies issues with product-market fit; Informs messaging and content", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.322+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bf26fab6-12b9-470c-afa5-c7835cf9e376", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.2, "x": 0.05, "y": 0.25 }, "kind": "list", "text": "Enterprise CLV Pipeline: Provides predictive CLV scores, churn dates, and future value regularly; Built-in Experian API", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.322+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e6e88ae5-211f-4152-a22a-418b35574ab9", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Retina is a B2B SaaS Platform that predicts individual customer value at or before the first transaction; used to reallocate spend towards profitable customers & leads", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.322+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d87dbcc7-d4e7-42ca-93c3-914f35474497", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 7, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null }, "from": 5, "name": "Solution", "beatId": "c258224f-de05-4550-ba63-7457a4c6845f", "matchId": "95b4def4-f5c9-49ad-a5c6-4181d1c1566e", "beatType": { "name": "Solution (Provide relief)", "slug": "problem-agitate-solution-solution-provide-relief", "status": "active", "canonId": "019dd9b8-0fee-73e9-9ae5-799c7f3895cd", "version": 1, "description": null }, "evidence": "The deck provides a solution to the problem, highlighting Retina's algorithm and Customer ID level scores.", "position": 2, "isPrimaryArc": true, "parentBeatType": { "name": "Resolution", "slug": "resolution", "status": "active", "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b", "version": 1, "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution." }, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 7, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null }, "from": 5, "name": "Solution", "beatId": "42a49895-9cbe-4095-939e-4afeef7bcd77", "matchId": "95b4def4-f5c9-49ad-a5c6-4181d1c1566e", "beatType": { "name": "Solution", "slug": "sequoia-pitch-solution", "status": "active", "canonId": "019dd9b8-1fb1-71d9-a260-07738d7f9c2f", "version": 1, "description": null }, "evidence": "The deck presents Retina's solution and how it works.", "position": 4, "isPrimaryArc": true, "parentBeatType": { "name": "Turn", "slug": "turn", "status": "active", "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54", "version": 1, "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 7, "from": 4, "loop": { "name": "40_mece_breakdown", "slug": "40-mece-breakdown", "status": "active", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "canonId": "019dd956-763c-765e-8b68-6ee3ae1ef184", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories", "familyLabel": null }, "matchId": "6f8b6d40-6f8f-4651-b7ff-7f2a0188d0df", "evidence": "The deck presents Retina's algorithm and Customer ID level scores as a solution to optimize customer-level spend.", "position": 1, "objective": "How can Retina's solution provide a MECE breakdown of customer-level spend?", "confidence": 0.6, "extraction": { "at": "2026-07-16 23:21:43.147031+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 6, "type": "setup", "title": "The slide uses a table and a scatter plot to illustrate the classification process.", "function": "present_solution", "rawType": "unfair_advantage", "block": null, "metadata": { "slideType": "unfair_advantage", "slideTypeCanon": { "name": "Unfair advantage", "slug": "unfair_advantage", "status": "active", "canonId": "019de52d-0f56-744f-8bb4-c8a8cca240d6", "version": 1, "description": null }, "function": "present_solution", "functionCanon": { "name": "Present solution", "slug": "present_solution", "status": "active", "canonId": "019de52d-15b8-71da-bd23-2b767850cbce", "version": 1, "description": null }, "density": "dense", "densityScore": 61, "componentCount": 6, "textChars": 542, "nDataPoints": 0, "notes": "The slide uses a table and a scatter plot to illustrate the classification process.", "elementsJson": null, "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "at": "2026-07-16 19:07:23.301+00", "seconds": 2.785, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019f6b8f-5b47-7109-8306-e799a04583ce/6", "deck": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce", "deckAnchor": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce#slide-6", "deckJson": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce.json" }, "components": [ { "bbox": { "h": 0.05, "w": 0.15, "x": 0.5, "y": 0.4 }, "kind": "callout", "text": "Archetype 1", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.301+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c17d422e-9245-47e4-bfab-b9040f4010df", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.15, "x": 0.8, "y": 0.6 }, "kind": "callout", "text": "Archetype 2", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.301+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cc073fc4-e43f-4e66-9bdb-80327469357f", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.5, "x": 0.45, "y": 0.35 }, "kind": "chart", "text": "Scatter plot showing data points clustered into Archetype 1 and Archetype 2.", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Scatter plot", "slug": "scatter", "status": "active", "canonId": "019de52d-007d-72ec-8689-c79fb78e21a2", "version": 1, "description": null }, "framework": null }, "subkind": "scatter", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.301+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "43ad70ab-cec8-4d7e-926a-911a686bc172", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.5, "x": 0.25, "y": 0.18 }, "kind": "paragraph", "text": "Retina's algorithm builds different archetypes based on customers' buying history and attributes. When new customers walk in the door, the model determines which archetype(s) they belong to and estimates their individual LTV.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": "description", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.301+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "312ebfef-478f-491e-a9a5-227e29cc8a8b", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.35, "x": 0.05, "y": 0.35 }, "kind": "table", "text": "Table showing customer data points like Cust ID, Subscription, GNT, Promo used, # of items, and $ amount.", "attrs": null, "canon": { "kind": { "name": "Table", "slug": "table", "status": "active", "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28", "version": 1, "description": "Tabular data layout." }, "tool": null, "subkind": { "name": "Data table", "slug": "data", "status": "active", "canonId": "019de52d-02d5-75b8-8abf-88e92bf63569", "version": 1, "description": null }, "framework": null }, "subkind": "data", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.301+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bca86375-d260-4b70-921f-c88f9837c654", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Our secret sauce: algorithm that combines companies' payments, marketing & sales CRM along with 3rd party datasets", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.301+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "85d44277-f557-4d90-bd14-beffcbd9a388", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 7, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null }, "from": 5, "name": "Solution", "beatId": "c258224f-de05-4550-ba63-7457a4c6845f", "matchId": "95b4def4-f5c9-49ad-a5c6-4181d1c1566e", "beatType": { "name": "Solution (Provide relief)", "slug": "problem-agitate-solution-solution-provide-relief", "status": "active", "canonId": "019dd9b8-0fee-73e9-9ae5-799c7f3895cd", "version": 1, "description": null }, "evidence": "The deck provides a solution to the problem, highlighting Retina's algorithm and Customer ID level scores.", "position": 2, "isPrimaryArc": true, "parentBeatType": { "name": "Resolution", "slug": "resolution", "status": "active", "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b", "version": 1, "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution." }, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 7, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null }, "from": 5, "name": "Solution", "beatId": "42a49895-9cbe-4095-939e-4afeef7bcd77", "matchId": "95b4def4-f5c9-49ad-a5c6-4181d1c1566e", "beatType": { "name": "Solution", "slug": "sequoia-pitch-solution", "status": "active", "canonId": "019dd9b8-1fb1-71d9-a260-07738d7f9c2f", "version": 1, "description": null }, "evidence": "The deck presents Retina's solution and how it works.", "position": 4, "isPrimaryArc": true, "parentBeatType": { "name": "Turn", "slug": "turn", "status": "active", "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54", "version": 1, "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 7, "from": 4, "loop": { "name": "40_mece_breakdown", "slug": "40-mece-breakdown", "status": "active", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "canonId": "019dd956-763c-765e-8b68-6ee3ae1ef184", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories", "familyLabel": null }, "matchId": "6f8b6d40-6f8f-4651-b7ff-7f2a0188d0df", "evidence": "The deck presents Retina's algorithm and Customer ID level scores as a solution to optimize customer-level spend.", "position": 1, "objective": "How can Retina's solution provide a MECE breakdown of customer-level spend?", "confidence": 0.6, "extraction": { "at": "2026-07-16 23:21:43.147031+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 7, "type": "resolution", "title": "The slide uses a hub-and-spoke style layout to show cross-functional utility of the platform.", "function": "present_solution", "rawType": "solution", "block": null, "metadata": { "slideType": "solution", "slideTypeCanon": { "name": "Solution", "slug": "solution", "status": "active", "canonId": "019de52d-0eb5-72ff-8b70-ba70a4199282", "version": 1, "description": null }, "function": "present_solution", "functionCanon": { "name": "Present solution", "slug": "present_solution", "status": "active", "canonId": "019de52d-15b8-71da-bd23-2b767850cbce", "version": 1, "description": null }, "density": "balanced", "densityScore": 45, "componentCount": 5, "textChars": 367, "nDataPoints": 0, "notes": "The slide uses a hub-and-spoke style layout to show cross-functional utility of the platform.", "elementsJson": null, "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "at": "2026-07-16 19:07:23.081+00", "seconds": 2.557, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019f6b8f-5b47-7109-8306-e799a04583ce/7", "deck": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce", "deckAnchor": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce#slide-7", "deckJson": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce.json" }, "components": [ { "bbox": { "h": 0.7, "w": 0.9, "x": 0.05, "y": 0.2 }, "kind": "diagram", "text": "Retina platform utility across departments", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": { "name": "Hub and spoke", "slug": "hub-spoke", "status": "active", "canonId": "019de52d-04db-73e6-81ca-a234f2f23fc1", "version": 1, "description": null }, "framework": null }, "subkind": "hub-spoke", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.081+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "92fc4819-9586-4140-bc74-a499b993865f", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.2, "x": 0.7, "y": 0.6 }, "kind": "list", "text": "Support: eCLV scores, Ticket prioritization, Shipping logistics", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.081+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "931286e1-f225-4e68-baa4-a9c4f60d31e8", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.15, "x": 0.45, "y": 0.6 }, "kind": "list", "text": "Product: Personas, Product market fit, New features", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.081+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "940e52d1-edf6-448b-a66b-1bcabb084c7e", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.2, "x": 0.2, "y": 0.6 }, "kind": "list", "text": "Sales & Marketing: Acquisition, Budget optimization, Retention, Messaging", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.081+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bf431277-46d0-4e66-99eb-c8cb787998cb", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.8, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Companies use Retina's Customer ID level scores to reallocate their sales and marketing campaign budgets towards more profitable campaigns", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.081+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "507f1701-9791-4234-a33f-bb6b61e8c708", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "2x2 matrix", "slug": "matrix-2x2", "status": "active", "bestFor": null, "canonId": "019dd9e1-50ab-72d1-8afb-3ab0a38e32a8", "version": 1, "bodyDocId": null, "description": "BCG matrix, importance/urgency, any axes-and-quadrants frame.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "e944222c-c21a-4500-84a0-022f7863e3ad", "evidence": "diagram/hub-spoke: Retina platform utility across departments", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-17 02:20:04.453631+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Audience Definition", "slug": "audience-definition", "status": "active", "bestFor": null, "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756", "version": 1, "bodyDocId": null, "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "eb9f7764-d7c1-426a-9b8d-91079bc44851", "evidence": "list/bullet: Sales & Marketing: Acquisition, Budget optimization, Retention, Messaging", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 02:20:04.403331+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "de8e52bf-2c81-416e-870b-52010571a710", "evidence": "Centralized data platform feeding into multiple functional departments", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-07-16 19:07:23.081+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "frameworkName": "hub-spoke" } ], "arcBeats": [ { "to": 7, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null }, "from": 5, "name": "Solution", "beatId": "c258224f-de05-4550-ba63-7457a4c6845f", "matchId": "95b4def4-f5c9-49ad-a5c6-4181d1c1566e", "beatType": { "name": "Solution (Provide relief)", "slug": "problem-agitate-solution-solution-provide-relief", "status": "active", "canonId": "019dd9b8-0fee-73e9-9ae5-799c7f3895cd", "version": 1, "description": null }, "evidence": "The deck provides a solution to the problem, highlighting Retina's algorithm and Customer ID level scores.", "position": 2, "isPrimaryArc": true, "parentBeatType": { "name": "Resolution", "slug": "resolution", "status": "active", "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b", "version": 1, "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution." }, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 7, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null }, "from": 5, "name": "Solution", "beatId": "42a49895-9cbe-4095-939e-4afeef7bcd77", "matchId": "95b4def4-f5c9-49ad-a5c6-4181d1c1566e", "beatType": { "name": "Solution", "slug": "sequoia-pitch-solution", "status": "active", "canonId": "019dd9b8-1fb1-71d9-a260-07738d7f9c2f", "version": 1, "description": null }, "evidence": "The deck presents Retina's solution and how it works.", "position": 4, "isPrimaryArc": true, "parentBeatType": { "name": "Turn", "slug": "turn", "status": "active", "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54", "version": 1, "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 7, "from": 4, "loop": { "name": "40_mece_breakdown", "slug": "40-mece-breakdown", "status": "active", "bestFor": "Problem structuring, ensuring completeness, strategic analysis", "canonId": "019dd956-763c-765e-8b68-6ee3ae1ef184", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage", "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories", "familyLabel": null }, "matchId": "6f8b6d40-6f8f-4651-b7ff-7f2a0188d0df", "evidence": "The deck presents Retina's algorithm and Customer ID level scores as a solution to optimize customer-level spend.", "position": 1, "objective": "How can Retina's solution provide a MECE breakdown of customer-level spend?", "confidence": 0.6, "extraction": { "at": "2026-07-16 23:21:43.147031+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 8, "type": "evidence", "function": "show_traction", "rawType": "customer_logos", "block": null, "metadata": { "slideType": "customer_logos", "slideTypeCanon": { "name": "Customer logos", "slug": "customer_logos", "status": "active", "canonId": "019de52d-101d-705c-8956-65f1b315e58a", "version": 1, "description": null }, "function": "show_traction", "functionCanon": { "name": "Show traction", "slug": "show_traction", "status": "active", "canonId": "019de52d-16a8-756a-9b38-a7d35420561d", "version": 1, "description": null }, "density": "dense", "densityScore": 51, "componentCount": 4, "textChars": 855, "nDataPoints": 0, "notes": null, "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "at": "2026-07-16 19:07:23.27+00", "seconds": 2.452, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019f6b8f-5b47-7109-8306-e799a04583ce/8", "deck": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce", "deckAnchor": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce#slide-8", "deckJson": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce.json" }, "components": [ { "bbox": { "h": 0.3, "w": 0.9, "x": 0.05, "y": 0.15 }, "kind": "image", "text": "Logos of Capital One Shopping, Nestle, Madison Reed, Dollar Shave Club, Eaze, Brickell, The Because Market, Randall Reilly", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo grid", "slug": "logo-grid", "status": "active", "canonId": "019de52c-fdd7-7409-93e5-81280a8ca215", "version": 1, "description": null }, "framework": null }, "subkind": "logo-grid", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.27+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0f22bb53-4821-4070-9d76-c309b0304e34", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.45, "x": 0.05, "y": 0.6 }, "kind": "quote", "text": "Working with Retina has been one of the best investments that we have made as a business. Their ability to communicate complex concepts around customer retention and lifetime value in an informative yet simplistic manner has uncovered a plethora of new opportunities for Brickell.", "attrs": null, "canon": { "kind": { "name": "Quote", "slug": "quote", "status": "active", "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a", "version": 1, "description": "Pull quote or testimonial." }, "tool": null, "subkind": { "name": "Testimonial", "slug": "testimonial", "status": "active", "canonId": "019de52c-fc21-71b6-9ac3-8266a64945e8", "version": 1, "description": null }, "framework": null }, "subkind": "testimonial", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.27+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "54772545-8c16-475f-a75c-ea378fad5811", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.45, "x": 0.52, "y": 0.6 }, "kind": "quote", "text": "We wanted to build customer lifetime value models internally because we knew they would help drive meaningful customer relationships. But, building these models would take significant time and effort -- and even longer to create actionable models. With Retina, we were able to gain actionable and personalized models 10 times faster than building them ourselves at an important growth period for our business.", "attrs": null, "canon": { "kind": { "name": "Quote", "slug": "quote", "status": "active", "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a", "version": 1, "description": "Pull quote or testimonial." }, "tool": null, "subkind": { "name": "Testimonial", "slug": "testimonial", "status": "active", "canonId": "019de52c-fc21-71b6-9ac3-8266a64945e8", "version": 1, "description": null }, "framework": null }, "subkind": "testimonial", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.27+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d23f8b04-a8ad-4d05-b2bc-55779b937cdd", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Our customers signed up for multi-year deals", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.27+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4142d99f-b923-48ec-b997-f4ae73a44cb8", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Authority citation", "slug": "authority-citation", "status": "active", "bestFor": null, "canonId": "019dd9e1-49ae-7557-89ad-3fca70469b45", "version": 1, "bodyDocId": null, "description": "Quoting an authority figure, study, or precedent to lend weight.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "f6732bd3-13e6-49dc-ade0-2585b3ec5a88", "evidence": "image/logo-grid: Logos of Capital One Shopping, Nestle, Madison Reed, Dollar Shave Club, Eaze, Brickell, The Because Market, Randall Reilly", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-17 02:20:04.625978+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Social Proof", "slug": "social-proof", "status": "active", "bestFor": null, "canonId": "019dd956-990d-7620-82b3-6dd286f34568", "version": 1, "bodyDocId": null, "description": "People adapt behavior based on what others do - show adoption and testimonials", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "2e78d076-7abb-4e2e-a928-90467c38c3d7", "evidence": "quote/testimonial: Working with Retina has been one of the best investments that we have made as a business.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-17 02:20:04.563523+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 9, "type": "evidence", "title": "Uses a before-after-bridge structure to frame the case study.", "function": "illustrate_case", "rawType": "testimonial", "block": null, "metadata": { "slideType": "testimonial", "slideTypeCanon": { "name": "Testimonial", "slug": "testimonial", "status": "active", "canonId": "019de52d-0a2d-7782-8a48-7e84df92cc97", "version": 1, "description": null }, "function": "illustrate_case", "functionCanon": { "name": "Illustrate case", "slug": "illustrate_case", "status": "active", "canonId": "019de52d-13b4-772c-bb73-1873612a7463", "version": 1, "description": null }, "density": "balanced", "densityScore": 46, "componentCount": 4, "textChars": 441, "nDataPoints": 1, "notes": "Uses a before-after-bridge structure to frame the case study.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "at": "2026-07-16 19:07:23.237+00", "seconds": 2.375, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019f6b8f-5b47-7109-8306-e799a04583ce/9", "deck": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce", "deckAnchor": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce#slide-9", "deckJson": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce.json" }, "components": [ { "bbox": null, "kind": "framework", "text": "Problem, Solution, Results", "attrs": null, "canon": { "kind": { "name": "Framework", "slug": "framework", "status": "active", "canonId": "019de52c-fa18-77c6-b10a-ccb8277ac0fa", "version": 1, "description": "Named conceptual framework instance." }, "tool": null, "subkind": { "name": "Framework instance", "slug": "instance", "status": "active", "canonId": "019de52d-05a2-72af-be0b-7edc60708a03", "version": 1, "description": null }, "framework": null }, "subkind": "instance", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.237+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "887e388f-ae2a-4893-b082-fa97fb96e522", "parentComponentId": null }, { "bbox": { "h": 0.78, "w": 0.53, "x": 0.435, "y": 0.21 }, "kind": "image", "text": "Facebook Ads Manager interface showing campaign performance data with a highlighted CLV column.", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.237+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "841f7052-5731-4a8a-9d4e-ad57e7b1b452", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.35, "x": 0.05, "y": 0.2 }, "kind": "list", "text": "Problem: You need to wait for 4+ customer transactions to optimize your acquisition campaigns. Solution: Optimize your campaign budgets in near real-time with predictive CLV available at first purchase. Results: Achieved 8x ROAS after optimizing with Retina.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.237+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b38a78fc-15d7-4c69-a0d0-213a594561aa", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.5, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Case Study #1: campaign budget optimization (consumer company)", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.237+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a31961f2-9be1-4024-a554-7de1a960c888", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Before-After-Bridge", "slug": "before-after-bridge", "status": "active", "bestFor": null, "canonId": "019dd956-8604-7188-883f-42370288ad05", "version": 1, "bodyDocId": null, "description": "Narrative structure: Paint the before, show the after, explain the bridge", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "2ebd102b-18a7-4182-8bd1-7efecb1c066f", "evidence": "Solution: Optimize your campaign budgets in near real-time with predictive CLV available at first purchase.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-17 02:20:04.798389+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Problem-Agitate-Solve (PAS)", "slug": "problem-agitate-solve-pas", "status": "active", "bestFor": null, "canonId": "019dd956-869f-7564-8d42-de54ed29ab90", "version": 1, "bodyDocId": null, "description": "Identify problem, agitate the pain, present the solution", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "1e0c8c85-75e0-400c-82a9-500a5993f26d", "evidence": "Problem: You need to wait for 4+ customer transactions to optimize your acquisition campaigns.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-17 02:20:04.736357+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "1e385d71-1763-4758-a2a6-6b2abbaa626b", "evidence": "The slide explicitly structures the content as Problem, Solution, and Results.", "framework": null, "confidence": 1, "extraction": { "at": "2026-07-16 19:07:23.237+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "frameworkName": "before-after-bridge" } ], "arcBeats": [], "loops": [], "locked": true }, { "page": 10, "type": "evidence", "title": "The table displays customer segmentation data including revenue, population size, LTR, and behavioral attributes.", "function": "illustrate_case", "rawType": "customer_journey", "block": null, "metadata": { "slideType": "customer_journey", "slideTypeCanon": { "name": "Customer journey", "slug": "customer_journey", "status": "active", "canonId": "019de52d-0966-70ce-afe3-bc7c98ffc8c9", "version": 1, "description": null }, "function": "illustrate_case", "functionCanon": { "name": "Illustrate case", "slug": "illustrate_case", "status": "active", "canonId": "019de52d-13b4-772c-bb73-1873612a7463", "version": 1, "description": null }, "density": "dense", "densityScore": 59, "componentCount": 5, "textChars": 456, "nDataPoints": 32, "notes": "The table displays customer segmentation data including revenue, population size, LTR, and behavioral attributes.", "elementsJson": null, "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "at": "2026-07-16 19:07:23.653+00", "seconds": 2.716, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019f6b8f-5b47-7109-8306-e799a04583ce/10", "deck": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce", "deckAnchor": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce#slide-10", "deckJson": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce.json" }, "components": [ { "bbox": { "h": 0.06, "w": 0.5, "x": 0.25, "y": 0.28 }, "kind": "callout", "text": "Results: Adjust your product and marketing strategies accordingly. Brand grew their LTV:CAC ratio by 150%.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.653+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6806d506-0f5c-4568-a066-b2b3e9e3311d", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.7, "x": 0.15, "y": 0.22 }, "kind": "paragraph", "text": "Solution: Use Retina Personas to determine the product features associated with high-value customers.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.653+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c6c5b6f1-7bd1-408f-a991-4ccac99b52a9", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.5, "x": 0.25, "y": 0.15 }, "kind": "paragraph", "text": "Problem: What product features drive valuable customer behavior?", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.653+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "dc0cbec2-2653-4807-b80c-7855c99feed1", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.85, "x": 0.08, "y": 0.45 }, "kind": "table", "text": "Segment #, %Total Revenue, Population Size, LTR, Hair Type, Skin Sensitivity, Subscribe Ever, Frequency Change, Source, Click Rate", "attrs": null, "canon": { "kind": { "name": "Table", "slug": "table", "status": "active", "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28", "version": 1, "description": "Tabular data layout." }, "tool": null, "subkind": { "name": "Data table", "slug": "data", "status": "active", "canonId": "019de52d-02d5-75b8-8abf-88e92bf63569", "version": 1, "description": null }, "framework": null }, "subkind": "data", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.653+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6c43feec-7a08-48c5-9754-f0442f4bfd0b", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.5, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Case Study # 2: product-market fit for large D2C Brands", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.653+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "de9d2d08-aa3b-4ac8-a72f-1c02630f8142", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Audience Segmentation", "slug": "audience-segmentation", "status": "active", "bestFor": null, "canonId": "019dd956-8079-7046-8e6b-ecdf1bf15590", "version": 1, "bodyDocId": null, "description": "Grouping audience by attitude toward your message: Champions, Neutrals, Skeptics", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "6b42c78f-0085-4d30-ba44-37e4dd4a721c", "evidence": "paragraph/paragraph: Solution: Use Retina Personas to determine the product features associated with high-value customers.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-17 02:20:04.960687+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 10, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Customer journey map", "slug": "customer-journey-map", "status": "active", "bestFor": null, "canonId": "019de52d-1b26-7499-98c8-1091acc836be", "version": 1, "bodyDocId": null, "description": null, "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "ee3539fb-daab-443a-808e-2a3baa436ac2", "evidence": "table/data: Segment #, %Total Revenue, Population Size, LTR, Hair Type, Skin Sensitivity, Subscribe Ever, Frequency Change, Source, Click Rate", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 02:20:04.917204+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 10, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "850c8611-a8a7-4c51-8cbf-eeb4218d7626", "evidence": "The slide uses a table to break down customers into distinct segments based on behavioral and demographic attributes.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 19:07:23.653+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 10, "frameworkName": "audience-segmentation" } ], "arcBeats": [], "loops": [], "locked": true }, { "page": 11, "type": "setup", "function": "other", "rawType": "team_bio", "block": null, "metadata": { "slideType": "team_bio", "slideTypeCanon": { "name": "Team bio", "slug": "team_bio", "status": "active", "canonId": "019de52d-0a7d-7394-ae5b-037478e71f1e", "version": 1, "description": null }, "function": "other", "functionCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-15e1-75bc-99dc-07732380e2ce", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 85, "componentCount": 13, "textChars": 794, "nDataPoints": 0, "notes": null, "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "at": "2026-07-16 19:07:24.898+00", "seconds": 3.702, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019f6b8f-5b47-7109-8306-e799a04583ce/11", "deck": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce", "deckAnchor": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce#slide-11", "deckJson": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce.json" }, "components": [ { "bbox": { "h": 0.2, "w": 0.15, "x": 0.1, "y": 0.15 }, "kind": "image", "text": "Emad Hasan", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Headshot", "slug": "headshot", "status": "active", "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf", "version": 1, "description": null }, "framework": null }, "subkind": "headshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:24.898+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "746513a6-37ea-401c-b749-aafef6c7867a", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.15, "x": 0.3, "y": 0.15 }, "kind": "image", "text": "Michael Greenberg", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Headshot", "slug": "headshot", "status": "active", "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf", "version": 1, "description": null }, "framework": null }, "subkind": "headshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:24.898+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9ad165f8-a8d2-46b0-8fea-75ab181acbbb", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.15, "x": 0.75, "y": 0.15 }, "kind": "image", "text": "Mo Messidi", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Headshot", "slug": "headshot", "status": "active", "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf", "version": 1, "description": null }, "framework": null }, "subkind": "headshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:24.898+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a0501689-680b-40d5-950e-f3dd64e9bf24", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.15, "x": 0.55, "y": 0.55 }, "kind": "image", "text": "Eva Ascarza", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Headshot", "slug": "headshot", "status": "active", "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf", "version": 1, "description": null }, "framework": null }, "subkind": "headshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:24.898+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b056db0b-2930-40fb-9f6a-cd4647d0b008", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.15, "x": 0.3, "y": 0.55 }, "kind": "image", "text": "Madeleine Udell", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Headshot", "slug": "headshot", "status": "active", "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf", "version": 1, "description": null }, "framework": null }, "subkind": "headshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:24.898+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c58d7ece-261d-4a2d-963f-123048385d30", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.15, "x": 0.55, "y": 0.15 }, "kind": "image", "text": "Corinne Powers", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Headshot", "slug": "headshot", "status": "active", "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf", "version": 1, "description": null }, "framework": null }, "subkind": "headshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:24.898+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c969208d-cbd3-4c70-9767-3196848e7040", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.2, "x": 0.5, "y": 0.78 }, "kind": "paragraph", "text": "Eva Ascarza, Advisor, Jakurski Family Associate Professor of Business Administration at Harvard Business School, Marketing Modeler", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:24.898+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "038efdb3-f934-4a0f-8d19-561ff266351e", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.2, "x": 0.25, "y": 0.78 }, "kind": "paragraph", "text": "Madeleine Udell, Advisor, Assistant Professor Cornell University, Machine Learning & Optimization, PhD Computational & Math Engineering, Stanford University", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:24.898+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2a94bbe8-912a-497e-89b7-00a231e35682", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.2, "x": 0.75, "y": 0.38 }, "kind": "paragraph", "text": "Mo Messidi, Dir of Engineering, MS Computer Science, Georgia Tech", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:24.898+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9b5c1ea4-89be-46c4-b7dc-64f039b0d4d9", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.2, "x": 0.5, "y": 0.38 }, "kind": "paragraph", "text": "Corinne Powers, VP of Data Science, Machine Learning & Convex Optimization, PhD Electrical Engineering, Stanford University", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:24.898+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "af0394c4-bf96-4e8b-bb51-2f1a730864a5", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.2, "x": 0.25, "y": 0.38 }, "kind": "paragraph", "text": "Michael Greenberg, Co-Founder, Board Member, CEO & Founder Scale Funder, Sold to Summit Partners, UCLA Director of Innovation", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:24.898+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c04d03af-d1c4-44d9-85fe-ee0278f8b5a4", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.2, "x": 0.05, "y": 0.38 }, "kind": "paragraph", "text": "Emad Hasan, CEO & Co-Founder, Head of Facebook Marketing Analytics, PayPal, PIM Decision Science", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:24.898+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d913cc5e-b5ce-4a22-a675-66a4fb0313be", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.3, "x": 0.35, "y": 0.05 }, "kind": "title", "text": "Retina Leadership Team", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:24.898+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bdbac0b0-fcee-44c8-be0b-4baa80594154", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 11, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null }, "from": 11, "name": "Team", "beatId": "83598cd2-cfee-40da-866c-777398dcc89b", "matchId": "95b4def4-f5c9-49ad-a5c6-4181d1c1566e", "beatType": { "name": "Team", "slug": "sequoia-pitch-team", "status": "active", "canonId": "019dd9b8-23c9-746f-aaf9-2f5d83892cf3", "version": 1, "description": null }, "evidence": "The deck presents the Retina Leadership Team.", "position": 5, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 12, "type": "setup", "function": "state_next_steps", "rawType": "use_of_funds", "block": null, "metadata": { "slideType": "use_of_funds", "slideTypeCanon": { "name": "Use of funds", "slug": "use_of_funds", "status": "active", "canonId": "019de52d-1045-737c-90e9-c79600f9e2c7", "version": 1, "description": null }, "function": "state_next_steps", "functionCanon": { "name": "State next steps", "slug": "state_next_steps", "status": "active", "canonId": "019de52d-14ca-70ac-b534-971f458cdf29", "version": 1, "description": null }, "density": "balanced", "densityScore": 30, "componentCount": 3, "textChars": 296, "nDataPoints": 1, "notes": null, "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "at": "2026-07-16 19:07:23.677+00", "seconds": 2.031, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019f6b8f-5b47-7109-8306-e799a04583ce/12", "deck": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce", "deckAnchor": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce#slide-12", "deckJson": "/decks/019f6b8f-5b47-7109-8306-e799a04583ce.json" }, "components": [ { "bbox": { "h": 0.05, "w": 0.1, "x": 0.45, "y": 0.15 }, "kind": "callout", "text": "Opportunity", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.677+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ba29596d-0f58-4624-9b04-30306ab51149", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.36, "x": 0.32, "y": 0.22 }, "kind": "list", "text": "Looking to infuse $6-8M of new capital in Q2 of 2021 with investors who bring expertise in: Go-To-Market, AI/ML Enterprise. To accomplish key milestones: Self-service product, Expand integrations, Strategic hiring.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.677+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "252302be-2e8b-485e-971e-aa1de1e762bd", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.96, "x": 0.02, "y": 0.05 }, "kind": "title", "text": "Looking to add GTM & AI Investors to fuel growth self-service ecosystem", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-07-16 19:07:23.677+00", "model": "google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a23e85a1-c36f-4d6e-8944-dda082adfedd", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 12, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null }, "from": 12, "name": "The Ask", "beatId": "cc027137-a247-4cab-a057-d4c5186af587", "matchId": "95b4def4-f5c9-49ad-a5c6-4181d1c1566e", "beatType": { "name": "The Ask", "slug": "sequoia-pitch-the-ask", "status": "active", "canonId": "019dd9b8-24f3-72bf-940a-74d06fd9396b", "version": 1, "description": null }, "evidence": "The deck presents the ask for funding to fuel growth.", "position": 6, "isPrimaryArc": true, "parentBeatType": { "name": "Resolution", "slug": "resolution", "status": "active", "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b", "version": 1, "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true } ], "arcBeats": [ { "from": 2, "to": 3, "label": "Problem", "description": "The deck identifies the problem of companies overlooking unprofitable customers and focusing on averages." }, { "from": 3, "to": 4, "label": "Agitate", "description": "The deck agitates the problem by highlighting the $1.2T of customer-level spend that can be optimized." }, { "from": 5, "to": 7, "label": "Solution", "description": "The deck provides a solution to the problem, highlighting Retina's algorithm and Customer ID level scores." }, { "from": 4, "to": 4, "label": "Market Size", "description": "The deck presents the market size and opportunity for growth." }, { "from": 5, "to": 7, "label": "Solution", "description": "The deck presents Retina's solution and how it works." }, { "from": 11, "to": 11, "label": "Team", "description": "The deck presents the Retina Leadership Team." }, { "from": 12, "to": 12, "label": "The Ask", "description": "The deck presents the ask for funding to fuel growth." } ], "loops": [ { "from": 2, "to": 4, "label": "Cost Of Inaction", "description": "What is the cost of inaction for companies not optimizing their customer-level spend?" }, { "from": 4, "to": 7, "label": "Mece Breakdown", "description": "How can Retina's solution provide a MECE breakdown of customer-level spend?" } ] }