{
  "docId": "019dd923-5fed-74f2-a96e-aceaec557600",
  "docSlug": "bi-63654810f327f008",
  "documentTitle": "Front used this pitch deck for its $59 million Series C round",
  "authorId": "Pitchdecks",
  "authorName": "Front",
  "documentKindSlug": "pitchdeck",
  "documentKindLabel": "Pitch deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.774,
  "pageNumber": 14,
  "pageCount": 22,
  "prevPage": 13,
  "nextPage": 15,
  "slideType": "market_sizing",
  "function": "size_opportunity",
  "density": "dense",
  "nDataPoints": 9,
  "notes": "The slide uses placeholders ($XXm) for the cash efficiency metrics.",
  "elementsJson": [
    "action_title",
    "data_table",
    "line_chart",
    "big_number",
    "footnote"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5fed-74f2-a96e-aceaec557600/14",
  "deckHref": "/decks/019dd923-5fed-74f2-a96e-aceaec557600",
  "deckJsonHref": "/decks/019dd923-5fed-74f2-a96e-aceaec557600.json",
  "deckAnchorHref": "/decks/019dd923-5fed-74f2-a96e-aceaec557600#slide-14",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "5.5B ARR potential just on “strong fit” use cases",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-bb7f-7799-a418-c41d3399f900",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.5,
        "w": 0.25,
        "x": 0.37,
        "y": 0.25
      },
      "kind": "chart",
      "text": "LTV / CAC trend from Q1'18 to Q3'19",
      "attrs": null,
      "subkind": "line",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "a4d9ab34-8a61-44d1-b59b-66aa60624f0b",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.4,
        "w": 0.2,
        "x": 0.65,
        "y": 0.3
      },
      "kind": "metric",
      "text": "$XXm* spent to reach $XXm* in ARR",
      "attrs": null,
      "subkind": "big-number",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "51296700-4ac6-40a7-b4b2-8833b03d90b2",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "ARR potential: 5.5B",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-bb7f-7799-a418-c949dbd91ec7",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.25,
        "x": 0.75,
        "y": 0.95
      },
      "kind": "source-note",
      "text": "*Actual values for cash spent and ARR reached were equal",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "1a6dcb9a-5e79-4dd9-8d65-18f0aec76acf",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.7,
        "w": 0.32,
        "x": 0.03,
        "y": 0.0017
      },
      "kind": "table",
      "text": "5.5B ARR potential just on “strong fit” use cases: Logistics ($360M), Supply Chain ($1.2B), Property Mgmt ($760M), Mortgage ($760M), Travel ($425M), Real Estate ($230M), Accounting ($900M), Marketing ($640M), Hotels ($200M)",
      "attrs": null,
      "subkind": "data",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "d9c455a6-27d1-4a00-ab9c-edae2d083004",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.75,
        "x": 0.03,
        "y": 0.05
      },
      "kind": "title",
      "text": "This market can sustain a strong business...",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "ee58214b-c122-484a-b3dd-c9d31b0649ae",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Big Idea Formula",
      "slug": "big-idea-formula",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "040cf252-f563-47f6-8258-7f0fdb4c9f72",
      "evidence": "5.5B ARR potential just on “strong fit” use cases",
      "confidence": 0.5
    }
  ],
  "frameworks": [],
  "arcBeats": [],
  "loops": [
    {
      "to": 14,
      "from": 2,
      "name": "Logic Chain",
      "slug": "01-logic-chain",
      "bestFor": "Skeptical audiences, controversial recommendations, rigorous analysis",
      "matchId": "fad8d5bf-07ef-4d7b-b33a-f49765e229eb",
      "evidence": "The deck builds a logical chain from market opportunity to traction and future plans",
      "position": 0,
      "objective": "Why Front can succeed in the market",
      "structure": "Premise 1 (Accepted truth) -> Premise 2 (Observed fact) -> Therefore... (Inevitable conclusion)",
      "confidence": 0.7,
      "description": "Build an airtight chain of logic where each premise leads inevitably to the conclusion"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}