{
  "docId": "019dd923-605c-759f-b6b1-62fa3d87c5a6",
  "docSlug": "bi-3d99f653d20babe9",
  "documentTitle": "Here's the pitch deck genAI adtech startup Paramark used to raise $6M",
  "authorId": "Pitchdecks",
  "authorName": "Paramark",
  "documentKindSlug": "pitchdeck",
  "documentKindLabel": "Pitch deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.776,
  "pageNumber": 21,
  "pageCount": 34,
  "prevPage": 20,
  "nextPage": 22,
  "slideType": "appendix_methodology",
  "function": "present_framework",
  "density": "balanced",
  "nDataPoints": 0,
  "notes": "The slide highlights a specific step in a larger 4-step process (Collect, Model, Experiment, Forecast).",
  "elementsJson": [
    "process_diagram",
    "callout_box",
    "bullet_list"
  ],
  "metadataConfidence": 0.95,
  "imagePath": null,
  "slideHref": "/slides/019dd923-605c-759f-b6b1-62fa3d87c5a6/21",
  "deckHref": "/decks/019dd923-605c-759f-b6b1-62fa3d87c5a6",
  "deckJsonHref": "/decks/019dd923-605c-759f-b6b1-62fa3d87c5a6.json",
  "deckAnchorHref": "/decks/019dd923-605c-759f-b6b1-62fa3d87c5a6#slide-21",
  "components": [
    {
      "bbox": {
        "h": 0.08,
        "w": 0.9,
        "x": 0.05,
        "y": 0.305
      },
      "kind": "callout",
      "text": "MMM applies ML to detect the contribution, ROI, and the diminishing returns of each channel",
      "attrs": null,
      "subkind": "primary",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "8f38669f-4f52-4474-9d5f-20c735cae7a7",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.9,
        "x": 0.05,
        "y": 0.1
      },
      "kind": "diagram",
      "text": "Collect, Model, Experiment, Forecast",
      "attrs": null,
      "subkind": "process",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "25981256-988b-458e-8fc5-9d53c5a32ffd",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.4,
        "w": 0.9,
        "x": 0.05,
        "y": 0.42
      },
      "kind": "list",
      "text": "Marketing & sales data over time; Run several ML models in cloud; Actionable UI",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "0956abf0-2476-426c-9f3a-ee0ff52a6b4c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.25,
        "x": 0.4,
        "y": 0.84
      },
      "kind": "paragraph",
      "text": "For now, we leverage several open source models. In future, we will build our own models.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "1144dbbb-f602-4523-b4c3-2112cfe89e84",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [
    {
      "name": "Marketing Mix Modeling",
      "slug": null,
      "matchId": "1fb8f59a-e8e4-44be-8a45-30ecbe0ddd55",
      "evidence": "Explicit mention of MMM and channel contribution analysis",
      "confidence": 1
    }
  ],
  "arcBeats": [
    {
      "to": 22,
      "from": 19,
      "beatId": "12c7dcbb-3673-4e72-a426-60b5a5df587d",
      "arcName": "The Sequoia Pitch",
      "arcSlug": "sequoia-pitch",
      "beatName": "Solution",
      "beatSlug": "sequoia-pitch-solution",
      "evidence": "The solution is presented on pages 19-22, showcasing Paramark's integrated platform and AI-native Marketing Operating System.",
      "position": 1,
      "confidence": 0.8,
      "parentBeatName": "Turn",
      "parentBeatSlug": "turn"
    }
  ],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}