{
  "docId": "019dd923-5e88-73ef-bd5d-bd77826b2230",
  "docSlug": "9f887ebe7e9bc626",
  "documentTitle": "2017 Bond Cap Internet Trends 2017",
  "authorId": "BondCap",
  "authorName": "Mary Meeker",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "vc_research",
  "sourceTypeLabel": "VC research",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.333,
  "pageNumber": 122,
  "pageCount": 356,
  "prevPage": 121,
  "nextPage": 123,
  "slideType": "case_study",
  "function": "illustrate_case",
  "density": "dense",
  "nDataPoints": 10,
  "notes": "The slide uses a dual-axis chart to show the growth in both the number of teams using the system and the number of video sessions per team.",
  "elementsJson": [
    "headline_text",
    "screenshot",
    "bar_chart_vertical",
    "line_chart",
    "footnote"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5e88-73ef-bd5d-bd77826b2230/122",
  "deckHref": "/decks/019dd923-5e88-73ef-bd5d-bd77826b2230",
  "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5d-bd77826b2230.json",
  "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-bd77826b2230#slide-122",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "150K+ Tracked Events per Game",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-4e57-7588-895e-6d9df178993d",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.43,
        "w": 0.43,
        "x": 0.53,
        "y": 0.33
      },
      "kind": "chart",
      "text": "Teams vs. Video Sessions per Team",
      "attrs": null,
      "subkind": "bar-grouped",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "de3fe55a-163c-4b79-840a-0e49721ea8e0",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.43,
        "w": 0.43,
        "x": 0.05,
        "y": 0.33
      },
      "kind": "image",
      "text": "Video Analytics of Key Plays",
      "attrs": null,
      "subkind": "screenshot",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "fe4c89ec-ebe8-4a7b-b834-009bf2b6f899",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Video Sessions per Team: 150K+",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-4e57-7588-895e-71d2d4220bb8",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.33,
        "x": 0.33,
        "y": 0.17
      },
      "kind": "paragraph",
      "text": "Second Spectrum 150K+ Tracked Events per Game,* 5/17",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "65c6b6f6-3cbf-46ab-b6a4-1b85f1f7f4c0",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.7,
        "x": 0.05,
        "y": 0.9
      },
      "kind": "source-note",
      "text": "Source: Second Spectrum. Note: Video session is defined as every time a user at a team watches a play using the Second Spectrum system. *Events are data surrounding key in-game actions such as pick-and-roll defenses, off-ball screens, shot probability or rebound probability. This allows players to query specific tactical actions during a game to gain better insight into how individuals / the team played.",
      "attrs": {
        "numbered": true
      },
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "101adfe7-b07e-4f43-a269-673412158e8b",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.8,
        "x": 0.05,
        "y": 0.05
      },
      "kind": "title",
      "text": "Video + Machine Learning = Visuals + Deep Analytics Can Improve Performance",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "714685c9-fdfe-40d1-86f8-3cde122f5639",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 333,
      "from": 4,
      "beatId": "019de7e0-c523-7666-bff1-a849bfac7344",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Facts (What)",
      "beatSlug": null,
      "evidence": "Sections 1-9 (Global, Ads, Games, Media, Cloud, China, India, Healthcare, Companies) present trend data.",
      "position": 1,
      "confidence": 60,
      "parentBeatName": null,
      "parentBeatSlug": null
    },
    {
      "to": 178,
      "from": 80,
      "beatId": "019de7e0-c642-74fe-8295-9316bcd95785",
      "arcName": "The Sparkline",
      "arcSlug": "sparkline",
      "beatName": "What Is",
      "beatSlug": null,
      "evidence": "Gaming + Media current realities and pain points.",
      "position": 3,
      "confidence": 50,
      "parentBeatName": null,
      "parentBeatSlug": null
    }
  ],
  "loops": [
    {
      "to": 134,
      "from": 114,
      "name": "Ripple Effect",
      "slug": "26-ripple-effect",
      "bestFor": "Change management, scaling initiatives, demonstrating broad value",
      "matchId": "019de7e0-c936-74a8-8da5-63cb4d4eb420",
      "evidence": "Engagement metrics -> athletes (pp.121-127) -> cross-discipline gamification (129-131) -> data growth.",
      "position": 12,
      "objective": "Gaming engagement ripples from entertainment to athlete/business performance",
      "structure": "Individual Impact -> Team Impact -> Organizational Impact -> Market/Industry Impact",
      "confidence": 70,
      "description": "Show how impact spreads from individual to team to organization to market"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}