{ "schemaVersion": "deck-intelligence.v1", "id": "019dd923-5de0-76bd-a167-d50ae18c1f4e", "slug": "426832e70272fe9b", "title": "Banking Consumer Study 2025", "subtitle": "Accenture", "author": "Accenture", "pageCount": 38, "kind": "consulting-deck", "orientation": "landscape", "aspectRatio": 1.778, "document": { "id": "019dd923-5de0-76bd-a167-d50ae18c1f4e", "slug": "426832e70272fe9b", "title": "Banking Consumer Study 2025", "rawTitle": "Banking Consumer Study 2025", "authorId": "Accenture", "authorName": "Accenture", "authorDisplay": "Accenture", "kind": { "slug": "consulting-deck", "label": "Consulting deck" }, "sourceType": { "slug": "strategy_consulting", "label": "Strategy consulting" }, "fileName": "Accenture-Global-Banking-Consumer-Study-2025-Report.pdf", "sourceUrl": "https://www.accenture.com/content/dam/accenture/final/industry/banking/document/Accenture-Global-Banking-Consumer-Study-2025-Report.pdf", "sourceDate": null, "presentationDate": null, "ingestedAt": "2026-04-24 07:54:31+00", "status": "ready", "pageCount": 38, "orientation": "landscape", "aspectRatio": 1.778, "targetCompany": null, "targetTicker": null, "metadata": { "local_root": "/tmp/legacy-images/426832e70272fe9b", "origin_corpus": "consulting" } }, "coverage": { "pageCount": 38, "pagesIndexed": 38, "pagesWithImages": 38, "pagesWithMetadata": 38, "imageCoveragePct": 100, "metadataCoveragePct": 100, "componentCount": 272, "chartCount": 7, "metricSlides": 27, "toolMatches": 117, "documentToolMatches": 0, "frameworkMatches": 6, "arcMatches": 2, "beatMatches": 8, "loopMatches": 6, "patternMatches": 0, "storymakersMatch": true, "scoreAvailable": true, "reviewAvailable": true, "activistThesisAvailable": false, "pitchdeckMetadataAvailable": false, "pitchdeckProfileAvailable": false }, "blocks": [], "matches": { "arcs": [ { "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "matchId": "019dd95a-0542-7728-a78c-762c3ca7318b", "evidence": "Setup p.4-5 (relationships drive growth), problem p.6-10 (sea of sameness), framework p.11, evidence/recs p.12-34, impact p.35-36.", "isPrimary": true, "confidence": 88, "extraction": { "at": "2026-04-29 13:07:28.977035+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null } }, { "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null, "categoryName": "Analysis & Information", "categorySlug": "analysis-information" }, "matchId": "019dd95a-0542-7728-a78c-7a071af764e3", "evidence": "Each driver block follows Facts (stat) -> Implications (so-what) -> Action (recommendations).", "isPrimary": false, "confidence": 65, "extraction": { "at": "2026-04-29 13:07:28.977035+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null } } ], "beats": [ { "to": 5, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 4, "name": "Situation & Context", "beatId": "019dd95a-0680-7418-8208-87a9957688b2", "matchId": "019dd95a-0542-7728-a78c-762c3ca7318b", "beatType": { "name": "Situation & Context", "slug": "consultants-gambit-situation-context", "status": "active", "canonId": "019dd9b8-05ae-741b-992d-65ee83c639b3", "version": 1, "description": null }, "evidence": "Personal relationships open organic growth; defines advocates and 4-driver theme", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Setup", "slug": "setup", "status": "active", "canonId": "019dd9b8-020e-7505-af9b-d9b9a4679bcc", "version": 1, "description": "Where the deck grounds the reader before doing anything else. Almost every arc opens here." }, "alignedBlockIds": null, "matchConfidence": 88 }, { "to": 10, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 6, "name": "Problem & Complication", "beatId": "019dd95a-0680-7418-8208-8be18b97688a", "matchId": "019dd95a-0542-7728-a78c-762c3ca7318b", "beatType": { "name": "Problem & Complication", "slug": "consultants-gambit-problem-complication", "status": "active", "canonId": "019dd9b8-064a-777f-a374-e9a8c43dedd4", "version": 1, "description": null }, "evidence": "Sea of sameness divider; 4.5 app ratings; digital bank pressure; advocacy gap", "position": 2, "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": 88 }, { "to": 11, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 11, "name": "Solution & Approach", "beatId": "019dd95a-0680-7418-8208-8d183ce5c7c3", "matchId": "019dd95a-0542-7728-a78c-762c3ca7318b", "beatType": { "name": "Solution & Approach", "slug": "consultants-gambit-solution-approach", "status": "active", "canonId": "019dd9b8-071c-7161-9184-580fdac7a4f9", "version": 1, "description": null }, "evidence": "Enter the drivers of advocacy: Reassure/Remember/Delight/Reward me framework", "position": 3, "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": 88 }, { "to": 34, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 12, "name": "Evidence & Proof", "beatId": "019dd95a-0680-7418-8208-93832433f2a3", "matchId": "019dd95a-0542-7728-a78c-762c3ca7318b", "beatType": { "name": "Evidence & Proof", "slug": "consultants-gambit-evidence-proof", "status": "active", "canonId": "019dd9b8-07b1-7688-8e1e-7637fec3802a", "version": 1, "description": null }, "evidence": "Each driver section: diagnostic stat + recommendations + named bank case studies", "position": 4, "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": 88 }, { "to": 36, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 35, "name": "Impact & Next Steps", "beatId": "019dd95a-0680-7418-8208-9599321cdec9", "matchId": "019dd95a-0542-7728-a78c-762c3ca7318b", "beatType": { "name": "Impact & Next Steps", "slug": "consultants-gambit-impact-next-steps", "status": "active", "canonId": "019dd9b8-0849-7728-9ee9-fd1609c4c655", "version": 1, "description": null }, "evidence": "Mindset segmentation + conclusion: 10% advocacy lift = 1% revenue growth", "position": 5, "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": 88 }, { "to": 10, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null, "categoryName": "Analysis & Information", "categorySlug": "analysis-information" }, "from": 7, "name": "The Facts (What)", "beatId": "019dd95a-0680-7418-8208-9b8d663088ec", "matchId": "019dd95a-0542-7728-a78c-7a071af764e3", "beatType": { "name": "The Facts (What)", "slug": "triple-take-the-facts-what", "status": "active", "canonId": "019dd9b8-092b-754c-8eaa-ede3ffdcb060", "version": 1, "description": null }, "evidence": "Survey data: app ratings, digital bank density, 1.7x advocacy growth", "position": 1, "isPrimaryArc": false, "parentBeatType": { "name": "Setup", "slug": "setup", "status": "active", "canonId": "019dd9b8-020e-7505-af9b-d9b9a4679bcc", "version": 1, "description": "Where the deck grounds the reader before doing anything else. Almost every arc opens here." }, "alignedBlockIds": null, "matchConfidence": 65 }, { "to": 30, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null, "categoryName": "Analysis & Information", "categorySlug": "analysis-information" }, "from": 13, "name": "The Implications (So What)", "beatId": "019dd95a-0680-7418-8208-9fe0e59bdcd1", "matchId": "019dd95a-0542-7728-a78c-7a071af764e3", "beatType": { "name": "The Implications (So What)", "slug": "triple-take-the-implications-so-what", "status": "active", "canonId": "019dd9b8-09c7-75cd-8c7b-ae0e23cca2b8", "version": 1, "description": null }, "evidence": "Diagnostic stats per driver: 46%, 72%, 21%, 53% gaps", "position": 2, "isPrimaryArc": false, "parentBeatType": { "name": "Reflection", "slug": "reflection", "status": "active", "canonId": "019dd9b8-0510-73fd-8d00-1c7e45f7bc98", "version": 1, "description": "The \"so what\" beat. Used by analytical arcs (Triple-take, Onion) and learning arcs (Voyage-return, Tragedy)." }, "alignedBlockIds": null, "matchConfidence": 65 }, { "to": 36, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null, "categoryName": "Analysis & Information", "categorySlug": "analysis-information" }, "from": 31, "name": "The Action (Now What)", "beatId": "019dd95a-0680-7418-8208-a2710434e166", "matchId": "019dd95a-0542-7728-a78c-7a071af764e3", "beatType": { "name": "The Action (Now What)", "slug": "triple-take-the-action-now-what", "status": "active", "canonId": "019dd9b8-0a5e-735a-bf53-3a1ba629b7aa", "version": 1, "description": null }, "evidence": "Take-away slide + reward recommendations + final advocacy = growth conclusion", "position": 3, "isPrimaryArc": false, "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": 65 } ], "loops": [ { "to": 11, "from": 4, "loop": { "name": "03_aha_moment", "slug": "03-aha-moment", "status": "active", "bestFor": "Data-heavy sections, research findings, analytical arguments", "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Problem/Question -> What the Data Shows -> The Insight", "description": "Establish a tension, present data, then deliver the insight that changes everything", "familyLabel": null, "categoryName": "Narrative", "categorySlug": "narrative" }, "matchId": "019dd95a-07fd-712f-b772-57a5eed076f4", "evidence": "Question (where is the love?) -> data (1.7x, 17%, 4.5 ratings, 92%) -> insight (4 drivers of advocacy)", "position": 1, "objective": "Reveal that advocacy (not features) is the real growth engine and frame the 4 drivers", "confidence": 85, "extraction": { "at": "2026-04-29 13:07:29.547081+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 16, "from": 13, "loop": { "name": "21_before_after", "slug": "21-before-after", "status": "active", "bestFor": "Product demos, process improvements, ROI justification", "canonId": "019dd956-6e68-73fd-a295-fe90145c2da8", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta", "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison", "familyLabel": null, "categoryName": "Comparison", "categorySlug": "comparison" }, "matchId": "019dd95a-07fd-712f-b772-59ac3ba31485", "evidence": "Old way: 46% feel pressured, 53% privacy worry -> new way: trusted AI, advise-first, invest in future", "position": 2, "objective": "Diagnose trust gap then prescribe how to restore it (Reassure me)", "confidence": 70, "extraction": { "at": "2026-04-29 13:07:29.547081+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 20, "from": 18, "loop": { "name": "39_benchmark_gap", "slug": "39-benchmark-gap", "status": "active", "bestFor": "Performance improvement, competitive analysis, target setting", "canonId": "019dd956-75a4-7522-8d1a-af94da4703e9", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Our Performance -> Industry Average -> Best-in-Class -> The Gap = The Opportunity", "description": "Compare performance against best-in-class to quantify the opportunity", "familyLabel": null, "categoryName": "Comparison", "categorySlug": "comparison" }, "matchId": "019dd95a-07fd-712f-b772-5dfca4191079", "evidence": "72% say personalization influences choice but only 3% use tools -> digital memory + flexible solutions", "position": 3, "objective": "Highlight the 72% want vs 3% use gap and how to close it (Remember me)", "confidence": 82, "extraction": { "at": "2026-04-29 13:07:29.547081+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 28, "from": 22, "loop": { "name": "03_aha_moment", "slug": "03-aha-moment", "status": "active", "bestFor": "Data-heavy sections, research findings, analytical arguments", "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Problem/Question -> What the Data Shows -> The Insight", "description": "Establish a tension, present data, then deliver the insight that changes everything", "familyLabel": null, "categoryName": "Narrative", "categorySlug": "narrative" }, "matchId": "019dd95a-07fd-712f-b772-63bb2c3160b9", "evidence": "Only 21% see service as value driver despite being #2 advocacy driver -> 4 service recommendations", "position": 4, "objective": "Reveal service is the under-valued advocacy driver and prescribe how to elevate it (Delight me)", "confidence": 78, "extraction": { "at": "2026-04-29 13:07:29.547081+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 34, "from": 30, "loop": { "name": "12_myth_buster", "slug": "12-myth-buster", "status": "active", "bestFor": "Rebranding, changing market perception, correcting false assumptions", "canonId": "019dd956-6aac-748b-b08d-f2b9c3727326", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Common Belief -> The Friction/Failure of that Belief -> The New Truth", "description": "Address a common misconception head-on to clear the room for a new truth", "familyLabel": null, "categoryName": "Persuasion", "categorySlug": "persuasion" }, "matchId": "019dd95a-07fd-712f-b772-6523bf0fc22d", "evidence": "53% don't know their rate -> rates aren't differentiators -> reward moment/behavior/relationship", "position": 5, "objective": "Bust the rates-and-fees myth and replace with relationship rewards (Reward me)", "confidence": 75, "extraction": { "at": "2026-04-29 13:07:29.547081+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 35, "from": 35, "loop": { "name": "34_segmentation_split", "slug": "34-segmentation-split", "status": "active", "bestFor": "Customer analysis, market research, resource allocation", "canonId": "019dd956-7398-77a8-9a5f-2e4d39589f42", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference", "description": "Divide a whole into meaningful segments to reveal hidden patterns", "familyLabel": null, "categoryName": "Consulting Framework", "categorySlug": "consulting-framework" }, "matchId": "019dd95a-07fd-712f-b772-6a130679f817", "evidence": "Three distinct mindsets (Traditionalists 34% / Pragmatics 44% / Innovation Explorers 22%)", "position": 6, "objective": "Split customer 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"slug": "white-space-negative-space", "layer": "Slide", "evidence": "Sparse Reassure-me divider, single sentence on full page", "confidence": 80 }, { "id": 149, "slug": "typography-hierarchy", "layer": "Slide", "evidence": "Driver phrase rendered as oversized headline", "confidence": 70 } ], "page_number": 12 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Title is the full statistic-as-insight: '46% feel pressured…'", "confidence": 90 }, { "id": 154, "slug": "concrete-language", "layer": "Slide", "evidence": "46% of customers feel pressured to accept self-serving products", "confidence": 80 }, { "id": 66, "slug": "negativity-bias", "layer": "Block", "evidence": "Opens trust block by foregrounding distrust pain point", "confidence": 70 } ], "page_number": 13 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Recommendation phrased as imperative: 'Turn AI into trusted intelligence'", "confidence": 90 }, { "id": 154, 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118, "slug": "action-titles", "layer": "Slide", "evidence": "Callout asserts 64% rely on branches and 65% see them as stability", "confidence": 70 } ], "page_number": 24 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Imperative title 'Prioritize service as long-term advantage'", "confidence": 88 }, { "id": 155, "slug": "credibility-transfer", "layer": "Slide", "evidence": "Case-study uplift 60%->85% and 25% cost cut from a real institution", "confidence": 75 } ], "page_number": 25 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Imperative title 'Put customers in control with mobile as the orchestrator'", "confidence": 88 }, { "id": 121, "slug": "metaphor-analogy", "layer": "Slide", "evidence": "Mobile app described as 'nexus of the service center'", "confidence": 70 } ], "page_number": 26 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Imperative title 'Stop thinking 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Weakness: heavy text density and fluffy section dividers dilute the argument's tempo in the middle of the deck.", "secondary_arcs": [ { "id": 11, "slug": "triple-take", "beats": [ { "name": "The Facts (What)", "end_page": 10, "evidence": "Survey data: app ratings, digital bank density, 1.7x advocacy growth", "position": 1, "start_page": 7 }, { "name": "The Implications (So What)", "end_page": 30, "evidence": "Diagnostic stats per driver: 46%, 72%, 21%, 53% gaps", "position": 2, "start_page": 13 }, { "name": "The Action (Now What)", "end_page": 36, "evidence": "Take-away slide + reward recommendations + final advocacy = growth conclusion", "position": 3, "start_page": 31 } ], "evidence": "Each driver block follows Facts (stat) -> Implications (so-what) -> Action (recommendations).", "confidence": 65 } ], "images_inspected": 10, "slide_frameworks": [ { "frameworks": [ { "name": "Accenture 4 Drivers of Advocacy (Reassure/Remember/Delight/Reward me)", "slug": "accenture-4-drivers-of-advocacy", "evidence": "Body copy enumerates the four named drivers as the report's organizing model", "confidence": 80 } ], "page_number": 5 }, { "frameworks": [ { "name": "Accenture 4 Drivers of Advocacy (Reassure/Remember/Delight/Reward me)", "slug": "accenture-4-drivers-of-advocacy", "evidence": "Title 'Enter the drivers of advocacy' with 4-column iconography and labels", "confidence": 95 } ], "page_number": 11 }, { "frameworks": [ { "name": "Accenture Customer Mindset Segmentation (Traditionalists / Pragmatics / Innovation Explorers)", "slug": "accenture-customer-mindset-segmentation", "evidence": "Slide labels three named segments with percentages and behavior descriptions", "confidence": 90 } ], "page_number": 35 } ] }, "matchedAt": "2026-04-25 22:48:48+00", "slidesSeen": 38, "deckSummary": "Strong Storymakers alignment: classic Consultant's Gambit with a clear governing thought (4 drivers of advocacy), action-titled slides that state insights not topics, and a callback close ('Bring back the love'). Weakness: heavy text density and fluffy section dividers dilute the argument's tempo in the middle of the deck.", "imagesInspected": 10, "extractionSeconds": 355.14752 }, "score": { "backend": "claude", "scoredAt": "2026-05-02 07:18:50.306+00", "subScores": { "scqa_arc": 73, "action_titles": 70, "mece_structure": 80, "closing_strength": 73, "evidence_quality": 85, "clarity_of_thesis": 82, "production_quality": 72, "visual_storytelling": 72 }, "totalScore": 76, "coveragePct": 100, "explanations": { "scqa_arc": "Situation (digital parity, slides 7-8) and Complication (trust/personalization/service/rewards gaps on 13, 18, 22, 30) flow well into per-pillar Answers, but the overarching Question is implicit and the deck reads more as four parallel mini-arcs than a single SCQA.", "action_titles": "About half of body slides carry true action titles (e.g. slide 18 '72% say personalization influences choice, but only 3% use personalized tools'), but recommendation pages and figures default to topic labels (slide 9 'Customers as growth engines', slide 23 'Figure 5: Channel usage and satisfaction', slide 35 'Mapping customer mindsets').", "mece_structure": "The Reassure/Remember/Delight/Reward spine is genuinely MECE and consistently signposted in every footer breadcrumb, with parallel 'Actions to help' substructure inside each pillar; minor overlap between Remember and Delight on personalization themes.", "closing_strength": "Slide 36 lands a quantified takeaway ('10% advocacy lift = 1% growth') and a 'Want to learn more?' CTA panel, but reads more as a narrative wrap than a sharp next-steps recommendation list.", "evidence_quality": "Exceptional sourcing: 49,300 customers across 39 countries, 200 banks' 2018-2023 financials, 22 numbered references (slide 37), and named cross-industry precedents (Spotify, Monzo, Capital One, JPMC Harlem, PNC, RBC Avion, Al Rajhi).", "clarity_of_thesis": "Thesis ('advocacy drives 1.7x revenue growth') is declared clearly by slide 4 and reinforced on slide 5 with the four-pillar framework, well within the first 5-slide window.", "production_quality": "Consistent purple/magenta palette, persistent footer breadcrumb, disciplined footnotes/references appendix, and standardized 'Actions to help' tabs — offset by frequent overcrowded density tags (slides 4, 7-11, 13, 16, 22, 24, 32, 34) and inconsistent numbering on recommendation titles.", "visual_storytelling": "Right-tool-for-message on the benchmark chart (slide 9), mirror bar chart (slide 23), big-number callouts (13, 18, 22, 31), and four-icon framework (slide 11); however 12+ slides are tagged 'overcrowded' and several recommendation pages are 3-column body copy with no visual." }, "slidesAnalyzed": 38 }, "review": { "backend": null, "verdict": "A genuinely strong Storymakers exemplar for pillar architecture and imperative recommendation titles, weakened only by a soft, metaphor-led opening and figure pages that hide their insight in the caption.", "reviewedAt": "2026-04-24 10:33:52+00", "slidesSeen": 38, "suggestions": [ "Rewrite every 'Figure N: ...' header as an action title carrying the callout's insight (e.g. p.7 → 'Mobile-app ratings have converged at 4.5+ — functional digital is no longer a differentiator').", "Insert an explicit answer-first slide between p.3 and p.4 that states the recommendation and the 4-driver framework on a single page, so the reader holds the map for the rest of the deck.", "Add a 'where to start Monday' / next-steps slide after p.36 turning the four pillars into a sequenced action list, so the deck closes on a verb rather than a metric." ], "closingScore": 82, "openingScore": 62, "topStrengths": [ "MECE pillar framework (4 R's) is seeded at p.5, formalized at p.11, and structurally reinforced by every section divider — rare discipline.", "Imperative recommendation titles throughout the body ('Build digital memory' p.19, 'Reward the moment' p.32, 'Advise first, sell second' p.15) read like a Storymakers exemplar.", "Bookended motif: 'Where is the love?' (p.1) → 'Bring back the love—growth through advocacy' (p.36) gives the analytical content a memorable narrative wrapper with quantified payoff." ], "topWeaknesses": [ "Opening is soft: cover is metaphorical (p.1), TOC + methodology occupy p.2–3, and there is no answer-first slide stating the recommendation before the build-up begins.", "Data/figure pages (p.7, p.10, p.23, p.24, p.30) carry descriptive 'Figure N:' titles instead of action titles — the insight is in the callout but invisible at a skim.", "Framework reveal at p.11 ('Enter the drivers of advocacy') comes after the first section divider on p.6, so the reader doesn't have the map when they enter the structure." ], "narrativeScore": 80, "pillarCritique": "Section dividers (p.6, 12, 17, 21, 29) map cleanly to a MECE 4-driver framework — Reassure me / Remember me / Delight me / Reward me — explicitly seeded at p.5 and formalized at p.11. This is genuine pillar architecture, not a topic dump.", "closingCritique": "p.36 'Bring back the love—growth through advocacy' closes with an explicit ROI sentence ('a 10% movement in advocacy scores would increase growth for the average bank by 1%'), echoing the opening hook. Missing only an explicit next-steps / 'where to start Monday' slide.", "openingCritique": "Thesis (advocacy → 1.7x revenue growth) is established by p.4, which is decent, but p.1 'Where is the love?' is poetic-opaque and p.3 is methodology — the reader walks through a cover, TOC and disclaimer before the stakes land. No explicit answer-first slide.", "extractionSeconds": 82.227135, "narrativeCritique": "Clean S→C→A→R arc: digital sameness (setup) → advocacy gap erodes growth (tension) → 4-driver framework (analysis) → 4 pillars of recommendations + ROI close (resolution). 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To move from \"Artificial\" intelligence to \"Trusted\" intelligence, banks must show that AI-driven insights are reliable, secure and genuinely beneficial. This requires branding, marketing, customer education and—sooner rather than later—proof that AI is creating real value in a secure, transparent way. In the absence of these efforts, customers will fill the void (as they have so far, seeing it as a source of uncertainty). While banks are among the most trusted institutions for data security, 53% of customers worry about privacy, and 58% fear hacking risks. 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Airlines have known this for years, but for some reason, as our previous study found, fewer than 15% of banks offer any form of relationship-based rewards. Recognizing the totality of a relationship builds strong emotional bonds and advocacy. 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As part of our survey, we’ve gathered in-depth data on nearly 160 global banks, uncovering key trends in customer advocacy, personalization and digital transformation. Our insights can help you benchmark your organization against industry leaders and identify strategic opportunities for growth. Contact us to explore a deeper, tailored analysis and discover how you can stay ahead in an evolving banking landscape.", "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": "2026-05-02 18:41:24.314+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b0c65583-2e09-41c6-a54f-a21329fbed27", "parentComponentId": null }, { "bbox": null, "kind": "callout", "text": "a 10% movement in advocacy scores across our sample would increase growth for the average bank by 1%.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 09:50:44+00", "model": "claude-code-default", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-a672-7739-9cea-1862ddefc4fe", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "growth uplift per 10% advocacy increase: 1%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 09:50:44+00", "model": "claude-code-default", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-a672-7739-9cea-1ebf10e60ba2", "parentComponentId": null }, { "bbox": { "h": 0.55, "w": 0.55, "x": 0.07, "y": 0.32 }, "kind": "paragraph", "text": "In a banking world battling for growth, the most obvious answer could be staring banks right in the face. Turning lazy loyalists into passionate advocates could almost double the growth rates for most banks. As we noted in the introduction, a 10% movement in advocacy scores across our sample would increase growth for the average bank by 1%. Yet, the truth is, no bank can do it all. Economic realities demand trade-offs. Some will double down on trust, reinforcing their role as financial guardians. Others will lean into personalization, using data and AI to deliver tailored experiences. Some may focus on seamless service, ensuring every touchpoint feels effortless. Banks must develop their own advocacy equation and make deliberate choices about where to lead, where to follow and where to let go. The great news is that gen AI arrived at just the right time to help put the soul bank in banking. More than ever, it is easier, cheaper and now possible to create a bank that is again, uniquely yours. The future of banking is about blending the best of digital and physical, using AI to enhance relationships, not replace them. 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All rights reserved.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:41:21.93+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a09a3ed7-143c-4e86-bd16-f4f25b8edd06", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.67, "x": 0.26, "y": 0.85 }, "kind": "disclaimer", "text": "Disclaimer: This content is provided for general information purposes and is not intended to be used in place of consultation with our professional advisors.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:41:21.93+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "aa69f19a-2196-4519-96cd-eecba021a38f", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.18, "x": 0.07, "y": 0.12 }, "kind": "list", "text": "Research team: Francesca Caminiti, Dariusz Orynek, Maria Francesca Mecca, Pilar Monteagudo, Gururaj Rao, Janaikar Pratik Pramodbhai", "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": "2026-05-02 18:41:21.93+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3f7cd9b6-2e94-444e-8f9d-b3323806d000", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.18, "x": 0.07, "y": 0.54 }, "kind": "list", "text": "Acknowledgments: Pia Matoto, Regina Maruca, Bijoy Anandoth Koyitti, Aswathi Nair", "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": "2026-05-02 18:41:21.93+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "42f0d1a2-8f00-4716-92a4-1be9b43e4d04", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.18, "x": 0.07, "y": 0.39 }, "kind": "list", "text": "Contributors: Dilnisin Bayel, Steven M. 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