{
  "docId": "019dd923-5ca1-7489-b635-adfc12ca49c3",
  "docSlug": "ae08c24225199358",
  "documentTitle": "e-Conomy SEA 2020 At full velocity: Resilient and racing ahead",
  "authorId": "Bain",
  "authorName": "Bain",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 98,
  "pageCount": 128,
  "prevPage": 97,
  "nextPage": 99,
  "slideType": "data_table",
  "function": "analyze_data",
  "density": "balanced",
  "nDataPoints": 5,
  "notes": "The slide uses a combination of pie charts and a bar chart to visualize consumer behavior trends in Indonesia.",
  "elementsJson": [
    "headline_text",
    "pie_chart",
    "bar_chart_vertical"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5ca1-7489-b635-adfc12ca49c3/98",
  "deckHref": "/decks/019dd923-5ca1-7489-b635-adfc12ca49c3",
  "deckJsonHref": "/decks/019dd923-5ca1-7489-b635-adfc12ca49c3.json",
  "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-adfc12ca49c3#slide-98",
  "components": [
    {
      "bbox": {
        "h": 0.3,
        "w": 0.25,
        "x": 0.7,
        "y": 0.515
      },
      "kind": "chart",
      "text": "Average hours spent online per day (personal use): Before 3.6, During 4.7, After 4.3",
      "attrs": null,
      "subkind": "bar-vertical",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "a8515961-256c-4d5b-97be-75dc260026ce",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.3,
        "w": 0.25,
        "x": 0.08,
        "y": 0.515
      },
      "kind": "chart",
      "text": "New consumers to Internet economy services: 37%",
      "attrs": null,
      "subkind": "pie",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "7a8437c2-ec13-4900-ac44-4160199e2222",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.3,
        "w": 0.25,
        "x": 0.38,
        "y": 0.515
      },
      "kind": "chart",
      "text": "% of new consumers who will continue to use at least one digital service post-COVID-19: 93%",
      "attrs": null,
      "subkind": "pie",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "ea87742f-3290-447d-acdd-03748104d9a8",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Retention rate: 93%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-ba87-7184-bba1-22f6e67f781c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.1,
        "x": 0.05,
        "y": 0.92
      },
      "kind": "source-note",
      "text": "Source: Kantar",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "906de9be-358f-4c4a-9375-5e4c631ae963",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.3,
        "x": 0.05,
        "y": 0.14
      },
      "kind": "title",
      "text": "Exponential growth of digital consumers (who will stay)",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "17df468c-06fb-4950-a064-33b5b08af960",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [
    {
      "metricRaw": "Retention rate",
      "numberRaw": "93%",
      "numberKind": "percent",
      "actionTitle": "Exponential growth of digital consumers (who will stay)",
      "calloutText": null,
      "numberScale": null,
      "numberValue": 93,
      "metricFamily": "rate_catchall",
      "numberCurrency": null
    }
  ],
  "tools": [],
  "frameworks": [],
  "arcBeats": [],
  "loops": [
    {
      "to": 127,
      "from": 95,
      "name": "Segmentation Split",
      "slug": "34-segmentation-split",
      "bestFor": "Customer analysis, market research, resource allocation",
      "matchId": "019dd95a-088c-724c-b313-fdc2ae7733d3",
      "evidence": "Six country sections (ID, MY, PH, SG, TH, VN) follow identical 5-slide structure.",
      "position": 11,
      "objective": "Apply the regional analysis country-by-country",
      "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference",
      "confidence": 88,
      "description": "Divide a whole into meaningful segments to reveal hidden patterns"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}