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          "structure": "The Total -> Driver 1 Impact -> Driver 2 Impact -> Driver 3 Impact -> The Remainder",
          "confidence": 80,
          "description": "Break down a big number into its component drivers to show where value is created or lost"
        }
      ],
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      "docId": "019dd923-5ca1-7489-b634-b4f6703d5f80",
      "docSlug": "b87718276d2e8ef8",
      "documentTitle": "US Mail Volumes to 2020",
      "authorId": "BCG",
      "authorName": "BCG",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.294,
      "pageNumber": 27,
      "slideType": "impact_sizing",
      "function": "quantify_impact",
      "notes": "The chart shows a starting volume of 14.4B in 2009 and an ending volume of 11.0B in 2020, with various positive and negative drivers in between.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5ca1-7489-b634-b4f6703d5f80/27",
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          "matchId": "019dd95a-088c-724c-b30f-9676532edd11",
          "evidence": "p28 confirmed waterfall (8.5B → 4.5B with named drivers); other sender-view segments follow same pattern",
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          "objective": "Decompose each sender-side segment's volume change via waterfall drivers",
          "structure": "The Total -> Driver 1 Impact -> Driver 2 Impact -> Driver 3 Impact -> The Remainder",
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