{
  "docId": "019dd923-5fec-763b-95cf-8e0388c5f70b",
  "docSlug": "xZ4DeytuOjKIGPhVpd0F",
  "documentTitle": "Check out the pitch deck that won data analytics firm Pecan.ai $35 million in a funding round backed by Dell",
  "authorId": "Pitchdecks",
  "authorName": "Pecan",
  "documentKindSlug": "pitchdeck",
  "documentKindLabel": "Pitch deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.777,
  "pageNumber": 9,
  "pageCount": 14,
  "prevPage": 8,
  "nextPage": 10,
  "slideType": "testimonial",
  "function": "illustrate_case",
  "density": "overcrowded",
  "nDataPoints": 2,
  "notes": "Uses a 'Before-After-Bridge' framework to illustrate the transition from manual rule-based systems to AI-driven personalization.",
  "elementsJson": [
    "headline_text",
    "bullet_list",
    "paragraph",
    "big_number",
    "process_diagram"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5fec-763b-95cf-8e0388c5f70b/9",
  "deckHref": "/decks/019dd923-5fec-763b-95cf-8e0388c5f70b",
  "deckJsonHref": "/decks/019dd923-5fec-763b-95cf-8e0388c5f70b.json",
  "deckAnchorHref": "/decks/019dd923-5fec-763b-95cf-8e0388c5f70b#slide-9",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "Pecan's ingested all raw historical game and user data, enriched the data by engineering efficient RFM (recency, frequency, monetary) metrics using Pecan's AI and deployed a pricing model for the game promotional packages.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-d9f0-76ee-8fa6-c20718dc5099",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.7,
        "w": 0.45,
        "x": 0.515,
        "y": 0.18
      },
      "kind": "framework",
      "text": "From: BI-based segmentation, Rule-based offers. To: Scalable AI capabilities, High resolution user-level personalization.",
      "attrs": null,
      "subkind": "instance",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "2828fd35-b148-4072-9e01-848c615fd82d",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.15,
        "x": 0.04,
        "y": 0.76
      },
      "kind": "metric",
      "text": "37% Uplift In Revenue/User",
      "attrs": null,
      "subkind": "big-number",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "6256bf30-2170-4d26-9d45-3993fdd2096b",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.15,
        "x": 0.25,
        "y": 0.76
      },
      "kind": "metric",
      "text": "91% Increase in purchases",
      "attrs": null,
      "subkind": "big-number",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "fbe266db-6a36-4024-9a36-ab51f09f5157",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Uplift In Revenue/User: 37%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-d9f0-76ee-8fa6-c7000ef5632c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.4,
        "x": 0.04,
        "y": 0.45
      },
      "kind": "paragraph",
      "text": "Solution: Pecan's ingested all raw historical game and user data, enriched the data by engineering efficient RFM metrics using Pecan's AI and deployed a pricing model for the game promotional packages.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "089e2ccb-414b-4072-b3ca-53f97bfb6e4a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.4,
        "x": 0.04,
        "y": 0.19
      },
      "kind": "paragraph",
      "text": "Challenge: The company's CRM and monetization team were looking to improve their promotional efforts and increase their customer's LTV",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "c052bc26-226f-48b6-86a3-9c1aec9400fa",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.6,
        "x": 0.04,
        "y": 0.07
      },
      "kind": "title",
      "text": "A mobile app company increased promotional revenues using Pecan's AI-Based offers",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "55f2f24c-0b4d-4be0-a4fc-b0e90f398728",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "AIDA Model",
      "slug": "aida-model",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "477e6ae0-9c41-4de2-9041-f47708dfc6bb",
      "evidence": "The slide presents a problem, solution, and results, following the AIDA model.",
      "confidence": 0.7
    }
  ],
  "frameworks": [
    {
      "name": "before-after-bridge",
      "slug": null,
      "matchId": "25f2954d-a6c0-4d26-a6c9-de63f73fecfa",
      "evidence": "The slide explicitly contrasts the 'From' state (manual/rule-based) with the 'To' state (AI-based) connected by the Pecan solution.",
      "confidence": 1
    }
  ],
  "arcBeats": [],
  "loops": [
    {
      "to": 10,
      "from": 2,
      "name": "Cost Of Inaction",
      "slug": "27-cost-of-inaction",
      "bestFor": "Urgent budget requests, compliance, risk mitigation",
      "matchId": "4d4e9769-b2c0-4283-8ef2-2447bdcaa03d",
      "evidence": "The deck presents testimonials highlighting the benefits of using Pecan.ai",
      "position": 0,
      "objective": "What is the cost of not adopting Pecan.ai?",
      "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
      "confidence": 0.6,
      "description": "Quantify what happens if the audience does nothing"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}