{
  "docId": "019dd923-5e88-73ef-bd5d-b82ca346e032",
  "docSlug": "d104e9de9f1d5dd1",
  "documentTitle": "2016 Bond Cap Internet Trends 2016",
  "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": 176,
  "pageCount": 214,
  "prevPage": 175,
  "nextPage": 177,
  "slideType": "comparison_table",
  "function": "compare_peers",
  "density": "balanced",
  "nDataPoints": 4,
  "notes": "The chart highlights significantly higher engagement for Chinese mobile payment solutions compared to traditional US card-based payments.",
  "elementsJson": [
    "headline_text",
    "bar_chart_horizontal",
    "footnote"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5e88-73ef-bd5d-b82ca346e032/176",
  "deckHref": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032",
  "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032.json",
  "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-b82ca346e032#slide-176",
  "components": [
    {
      "bbox": {
        "h": 0.5,
        "w": 0.8,
        "x": 0.1,
        "y": 0.3
      },
      "kind": "chart",
      "text": "Bar chart showing monthly transactions for WeChat Payment, USA Debit Card, AliPay, and USA Credit Card.",
      "attrs": null,
      "subkind": "bar-horizontal",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "03fec4da-eee3-440a-bef3-134d8f38f9d4",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Monthly payment transactions per user: 50+",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-5641-722a-9f2e-b932bd3cef18",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.6,
        "x": 0.1,
        "y": 0.9
      },
      "kind": "source-note",
      "text": "Source: US debit and credit card data defined as number of payments (including online and offline) a month per active general-purpose card. Active cards are those used to make at least one purchase or bill payment in a month. Data per 2013 Federal Reserve Payments Study. AliPay / WeChat Pay stats per Hillhouse estimates. WeChat data includes peer-to-peer payments such as virtual Red Envelopes.",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "9168e154-c52f-4ee2-ace9-f8cc5586ac72",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.7,
        "x": 0.02,
        "y": 0.02
      },
      "kind": "title",
      "text": "China Smartphone-Based Payment Solutions = High Engagement",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "da742a8b-f1f7-4786-8869-f9b710c3e30f",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.6,
        "x": 0.2,
        "y": 0.22
      },
      "kind": "title",
      "text": "Estimated Monthly Payment Transactions per User",
      "attrs": null,
      "subkind": "subtitle",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "ddcc7f7d-a09f-494f-a8e4-8bd352e998a3",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 193,
      "from": 161,
      "beatId": "019de7d7-dfdb-71ae-ab61-8a3533e45ef2",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Evidence & Proof",
      "beatSlug": null,
      "evidence": "China leadership data + public/private company financials.",
      "position": 4,
      "confidence": 72,
      "parentBeatName": null,
      "parentBeatSlug": null
    },
    {
      "to": 213,
      "from": 42,
      "beatId": "019de7d7-e0c3-71c3-b3fe-7361aabe05a0",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Action (Now What)",
      "beatSlug": null,
      "evidence": "Innovation playbooks across ads, video, voice, transport, data.",
      "position": 3,
      "confidence": 60,
      "parentBeatName": null,
      "parentBeatSlug": null
    }
  ],
  "loops": [
    {
      "to": 182,
      "from": 162,
      "name": "Tale Two Worlds",
      "slug": "04-tale-two-worlds",
      "bestFor": "Competitive analysis, benchmarking, case for change",
      "matchId": "019de7d7-e26c-70ce-a296-8864b88dd4d8",
      "evidence": "p170 online ads > USA share, pp171-172 e-commerce share, p176 payment frequency, p181 70% global on-demand share.",
      "position": 11,
      "objective": "Benchmark China internet metrics against USA to argue China leads on many fronts",
      "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication",
      "confidence": 82,
      "description": "Show the gap between two states to drive urgency or highlight opportunity"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}