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              "id": 30,
              "slug": "30-2x2-matrix",
              "layer": "Loop",
              "evidence": "Axes: Age (Gen Z→Boomers) × Nationality (Mature/Emerging) with 9 segments",
              "confidence": 92
            },
            {
              "id": 165,
              "slug": "picture-superiority-effect",
              "layer": "Slide",
              "evidence": "Each segment represented by a face photo",
              "confidence": 85
            },
            {
              "id": 158,
              "slug": "von-restorff-effect",
              "layer": "Slide",
              "evidence": "Pink shaded box highlights the high-growth quadrant",
              "confidence": 78
            },
            {
              "id": 167,
              "slug": "centre-stage-effect",
              "layer": "Slide",
              "evidence": "Megacitier/Rich Upstarter placed centrally in the matrix",
              "confidence": 60
            },
            {
              "id": 132,
              "slug": "visual-hierarchy",
              "layer": "Slide",
              "evidence": "Bubble size encodes market value, colour highlights focus",
              "confidence": 75
            }
          ],
          "page_number": 9
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'10 trends relevant for True-Luxury Consumers'",
              "confidence": 85
            },
            {
              "id": 40,
              "slug": "40-mece-breakdown",
              "layer": "Loop",
              "evidence": "Three MECE buckets: Product&Branding/Communication&Media/Sales Channels",
              "confidence": 88
            },
            {
              "id": 116,
              "slug": "chunking",
              "layer": "Slide",
              "evidence": "10 trends chunked into 3 grouped categories",
              "confidence": 82
            },
            {
              "id": 132,
              "slug": "visual-hierarchy",
              "layer": "Slide",
              "evidence": "Three icons + bracketed sub-labels organise scan path",
              "confidence": 70
            }
          ],
          "page_number": 11
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title splits trends by Millennials ('what they want') vs Chinese ('where to reach')",
              "confidence": 80
            },
            {
              "id": 78,
              "slug": "contrast-pairs",
              "layer": "Slide",
              "evidence": "Compares relevance for two key segments",
              "confidence": 70
            }
          ],
          "page_number": 12
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Luxury casualwear confirmed as a major trend'",
              "confidence": 88
            },
            {
              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "Callout '73% vs 66% last year' on the data",
              "confidence": 80
            },
            {
              "id": 2,
              "slug": "02-pattern-hunter",
              "layer": "Loop",
              "evidence": "Loop opener: builds a pattern across pp.14-17",
              "confidence": 72
            }
          ],
          "page_number": 14
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title states why ('formal saturation/comfort' vs 'coolness')",
              "confidence": 85
            },
            {
              "id": 78,
              "slug": "contrast-pairs",
              "layer": "Slide",
              "evidence": "Older vs younger drivers contrasted",
              "confidence": 70
            }
          ],
          "page_number": 15
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title quantifies '3 of top 5 future categories are casual'",
              "confidence": 82
            },
            {
              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "+39% delta highlighted on the chart",
              "confidence": 75
            }
          ],
          "page_number": 16
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title balances 'traditional values still predominant ... new values key'",
              "confidence": 80
            },
            {
              "id": 20,
              "slug": "20-paradox-resolver",
              "layer": "Slide",
              "evidence": "Reconciles old values surviving alongside new values",
              "confidence": 55
            }
          ],
          "page_number": 17
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Made-in Italy still leading, fueled by apparel/handbags/shoes'",
              "confidence": 85
            },
            {
              "id": 34,
              "slug": "34-segmentation-split",
              "layer": "Loop",
              "evidence": "Loop opener: split made-in preference by category",
              "confidence": 75
            },
            {
              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "Survey question shown as callout",
              "confidence": 70
            }
          ],
          "page_number": 18
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title states the geographic exception (France preferred in CN/BR/FR)",
              "confidence": 82
            },
            {
              "id": 152,
              "slug": "unexpected-pattern",
              "layer": "Slide",
              "evidence": "Callout 'America first!' flags the surprising US-favouritism pattern",
              "confidence": 60
            }
          ],
          "page_number": 19
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title states generational split (Italy=older, France=younger)",
              "confidence": 80
            }
          ],
          "page_number": 20
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Social Media rank as 1st influence lever, +29pp vs 2013'",
              "confidence": 88
            },
            {
              "id": 2,
              "slug": "02-pattern-hunter",
              "layer": "Loop",
              "evidence": "Loop opener: stacks evidence for social-media supremacy",
              "confidence": 78
            },
            {
              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "Delta vs 2013/2016 annotated",
              "confidence": 70
            }
          ],
          "page_number": 21
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Names specific platforms gaining (Instagram/Wechat)",
              "confidence": 82
            },
            {
              "id": 34,
              "slug": "34-segmentation-split",
              "layer": "Slide",
              "evidence": "Splits platform usage by region (West vs China)",
              "confidence": 65
            }
          ],
          "page_number": 22
        },
        {
          "tools": [
            {
              "id": 156,
              "slug": "emotional-appeal",
              "layer": "Slide",
              "evidence": "Pull-quote on 'authenticity, unique POV, storytelling'",
              "confidence": 65
            },
            {
              "id": 169,
              "slug": "authority-bias",
              "layer": "Slide",
              "evidence": "Quote framed as expert insight on influencer power",
              "confidence": 55
            }
          ],
          "page_number": 23
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Omnichannel stabilizing, signs of store recovery'",
              "confidence": 82
            },
            {
              "id": 4,
              "slug": "04-tale-two-worlds",
              "layer": "Loop",
              "evidence": "Loop opener: contrasts old vs emerging channel mix",
              "confidence": 65
            }
          ],
          "page_number": 24
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'3 channels dominate ~90%' synthesises the data",
              "confidence": 85
            },
            {
              "id": 50,
              "slug": "50-pareto-focus",
              "layer": "Slide",
              "evidence": "Pareto framing: 3 channels capture ~90% of online",
              "confidence": 70
            }
          ],
          "page_number": 25
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'~60% additional ... peak in China at ~70%'",
              "confidence": 82
            },
            {
              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "Survey question included as callout",
              "confidence": 70
            }
          ],
          "page_number": 26
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Mobile prevailing over PC ... driven by Chinese and youth'",
              "confidence": 80
            }
          ],
          "page_number": 27
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Mono-brand still the most used channel ... vs Dept. Stores'",
              "confidence": 80
            },
            {
              "id": 78,
              "slug": "contrast-pairs",
              "layer": "Slide",
              "evidence": "Mono-brand vs Department Store contrast",
              "confidence": 65
            }
          ],
          "page_number": 28
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title links cause (special editions/experiences) to effect (more visits)",
              "confidence": 80
            }
          ],
          "page_number": 29
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'4 segments count for ~70% of Millennials spend'",
              "confidence": 88
            },
            {
              "id": 6,
              "slug": "06-zoom-in",
              "layer": "Loop",
              "evidence": "Loop opener: zooms from total market into the Millennial cohort",
              "confidence": 82
            },
            {
              "id": 50,
              "slug": "50-pareto-focus",
              "layer": "Slide",
              "evidence": "4 segments = ~70% of spend (Pareto framing)",
              "confidence": 75
            },
            {
              "id": 165,
              "slug": "picture-superiority-effect",
              "layer": "Slide",
              "evidence": "Each segment a colour-coded card with face + tagline",
              "confidence": 80
            },
            {
              "id": 122,
              "slug": "story-moments",
              "layer": "Slide",
              "evidence": "Persona quotes ('Luxury I am coming', 'Luxury is my fun')",
              "confidence": 60
            }
          ],
          "page_number": 31
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'88% aware of collaborations, Gen Z & Millennials ~94%'",
              "confidence": 80
            }
          ],
          "page_number": 32
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Title states the generational split in collab impact",
              "confidence": 82
            },
            {
              "id": 78,
              "slug": "contrast-pairs",
              "layer": "Slide",
              "evidence": "Young (positive impact) vs older (no impact)",
              "confidence": 65
            }
          ],
          "page_number": 33
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Collaborations have positive impact on willingness to buy for ~55%'",
              "confidence": 80
            }
          ],
          "page_number": 34
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Mix & match attains ~54% for millennials'",
              "confidence": 78
            }
          ],
          "page_number": 35
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Explains the mix&match behavior (trade-down/niche)",
              "confidence": 78
            }
          ],
          "page_number": 36
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Resolves apparent paradox: mix&match yet most loyal (36% vs 30%)",
              "confidence": 80
            },
            {
              "id": 20,
              "slug": "20-paradox-resolver",
              "layer": "Slide",
              "evidence": "Reconciles 'mix & match' with 'most loyal generation'",
              "confidence": 60
            }
          ],
          "page_number": 37
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Some luxury brands know them and reach them better'",
              "confidence": 80
            },
            {
              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "Satisfaction Index formula explained as callout",
              "confidence": 78
            },
            {
              "id": 130,
              "slug": "color-strategy",
              "layer": "Slide",
              "evidence": "Green positive bars vs red negative bars + green/red rank circles",
              "confidence": 75
            },
            {
              "id": 39,
              "slug": "39-benchmark-gap",
              "layer": "Slide",
              "evidence": "Brand benchmark ranking with leaders vs laggards",
              "confidence": 65
            }
          ],
          "page_number": 38
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Callback to 4 segments + 'ready?' call to action",
              "confidence": 78
            },
            {
              "id": 98,
              "slug": "callback",
              "layer": "Slide",
              "evidence": "Re-visits the 4 Millennial segments from p.31",
              "confidence": 75
            }
          ],
          "page_number": 39
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'3 segments count for ~55% of Chinese True Luxury spend'",
              "confidence": 88
            },
            {
              "id": 6,
              "slug": "06-zoom-in",
              "layer": "Loop",
              "evidence": "Loop opener: zoom into Chinese consumer cohort",
              "confidence": 82
            },
            {
              "id": 50,
              "slug": "50-pareto-focus",
              "layer": "Slide",
              "evidence": "3 segments = ~55% of spend (Pareto framing)",
              "confidence": 75
            },
            {
              "id": 165,
              "slug": "picture-superiority-effect",
              "layer": "Slide",
              "evidence": "Persona cards with photos and taglines",
              "confidence": 75
            }
          ],
          "page_number": 41
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'China's digital ecosystem ... dominated by two players'",
              "confidence": 80
            },
            {
              "id": 121,
              "slug": "metaphor-analogy",
              "layer": "Slide",
              "evidence": "Ecosystem framed as integrated platform map",
              "confidence": 60
            }
          ],
          "page_number": 42
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Social Media 1st, followed by WoM & Brands websites'",
              "confidence": 82
            }
          ],
          "page_number": 43
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Chinese True-Luxury increasingly use Social Media'",
              "confidence": 78
            }
          ],
          "page_number": 44
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Ranks online sources (Brand SM 1st, Influencers 3rd)",
              "confidence": 80
            },
            {
              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "Recommendation callout to partner with SM platforms",
              "confidence": 70
            }
          ],
          "page_number": 45
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'WeChat helps brands influence consumers along the entire shopping journey'",
              "confidence": 88
            },
            {
              "id": 132,
              "slug": "visual-hierarchy",
              "layer": "Slide",
              "evidence": "Matrix layout: WeChat features × Reach/Engage/Convert/Transaction/CRM",
              "confidence": 75
            },
            {
              "id": 142,
              "slug": "grid-system",
              "layer": "Slide",
              "evidence": "Strict grid of 5 funnel stages × 5 WeChat properties",
              "confidence": 78
            }
          ],
          "page_number": 46
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Names the specific Moments Ads use case",
              "confidence": 78
            },
            {
              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "Five tactic bullets in callout",
              "confidence": 65
            }
          ],
          "page_number": 47
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Tencent's content ecosystem reach explained",
              "confidence": 75
            }
          ],
          "page_number": 48
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Chinese ROPO over indexed due to online struggles'",
              "confidence": 80
            },
            {
              "id": 138,
              "slug": "annotation",
              "layer": "Slide",
              "evidence": "Long callout explains drivers of omni vs solo",
              "confidence": 70
            }
          ],
          "page_number": 49
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'Some brands well ahead competition'",
              "confidence": 80
            },
            {
              "id": 39,
              "slug": "39-benchmark-gap",
              "layer": "Slide",
              "evidence": "Satisfaction Index ranking parallels p.38 for China",
              "confidence": 70
            },
            {
              "id": 130,
              "slug": "color-strategy",
              "layer": "Slide",
              "evidence": "Green/red coding for winners vs losers",
              "confidence": 70
            }
          ],
          "page_number": 50
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "Callback to 3 segments + 'ready?' CTA",
              "confidence": 78
            },
            {
              "id": 98,
              "slug": "callback",
              "layer": "Slide",
              "evidence": "Re-anchors on the 3 Chinese segments from p.41",
              "confidence": 78
            }
          ],
          "page_number": 51
        },
        {
          "tools": [
            {
              "id": 118,
              "slug": "action-titles",
              "layer": "Slide",
              "evidence": "'What BCG could do for Luxury Companies leveraging the study'",
              "confidence": 82
            },
            {
              "id": 124,
              "slug": "closing-techniques",
              "layer": "Slide",
              "evidence": "Three concrete BCG service offers as the deck's CTA",
              "confidence": 80
            },
            {
              "id": 92,
              "slug": "tricolon",
              "layer": "Slide",
              "evidence": "Three parallel offers: Brand Equity / Voice of Consumers / Actionable Segmentation",
              "confidence": 70
            }
          ],
          "page_number": 53
        }
      ],
      "slides_seen": 55,
      "deck_summary": "A classic BCG insights report: methodology-led setup, MECE trend buckets, two zoom-in deep dives (Millennials, Chinese) and a soft consulting-services CTA. Loosely fits Consultant's Gambit but functions mostly as a Triple Take data narrative — heavy on action-titles and pattern-hunter sequences, light on a true 'complication-resolution' arc.",
      "secondary_arcs": [
        {
          "id": 11,
          "slug": "triple-take",
          "beats": [
            {
              "name": "The Facts (What)",
              "end_page": 29,
              "evidence": "Trend data: casualwear, made-in, social, channels",
              "position": 1,
              "start_page": 14
            },
            {
              "name": "The Implications (So What)",
              "end_page": 51,
              "evidence": "Millennial + Chinese segment deep dives",
              "position": 2,
              "start_page": 30
            },
            {
              "name": "The Action (Now What)",
              "end_page": 53,
              "evidence": "What BCG could do for luxury companies",
              "position": 3,
              "start_page": 52
            }
          ],
          "evidence": "Most data slides cleanly map facts (chart) → implications (action title) → action (callout/next-steps page).",
          "confidence": 60
        }
      ],
      "images_inspected": 8,
      "slide_frameworks": [
        {
          "frameworks": [
            {
              "name": "BCG 5 Lenses Framework",
              "slug": "bcg-5-lenses",
              "evidence": "Title names '5 lenses' covering Categories/Generation/Nationality/Segments/Channel",
              "confidence": 75
            }
          ],
          "page_number": 5
        },
        {
          "frameworks": [
            {
              "name": "BCG Luxury Market Model",
              "slug": "bcg-luxury-market-model",
              "evidence": "Source line cites 'BCG Luxury Market Model' with cluster pyramid",
              "confidence": 85
            }
          ],
          "page_number": 6
        },
        {
          "frameworks": [
            {
              "name": "2x2 Matrix",
              "slug": "2x2-matrix",
              "evidence": "Axes: Age (Gen Z→Boomers) × Nationality (Mature/Emerging)",
              "confidence": 90
            }
          ],
          "page_number": 9
        },
        {
          "frameworks": [
            {
              "name": "Luxury Trends Framework (Product / Communication / Sales)",
              "slug": "luxury-trends-framework",
              "evidence": "Three named pillars: Product&Branding, Communication&Media, Sales Channels",
              "confidence": 70
            }
          ],
          "page_number": 11
        },
        {
          "frameworks": [
            {
              "name": "BCG Behavioral Segmentation (Millennials)",
              "slug": "bcg-behavioral-segmentation-millennials",
              "evidence": "Four named segments: Rich Upstarter / Megacitier / #LITTLEPRINCE / Absolute Luxurer",
              "confidence": 78
            }
          ],
          "page_number": 31
        },
        {
          "frameworks": [
            {
              "name": "BCG Behavioral Segmentation (Chinese)",
              "slug": "bcg-behavioral-segmentation-chinese",
              "evidence": "Three named Chinese segments shown on persona cards",
              "confidence": 75
            }
          ],
          "page_number": 41
        },
        {
          "frameworks": [
            {
              "name": "Customer Journey Funnel (Reach-Engage-Convert-Transaction-CRM)",
              "slug": "customer-journey-funnel",
              "evidence": "Five named stages headline the columns with funnel icons",
              "confidence": 88
            }
          ],
          "page_number": 46
        }
      ]
    },
    "matchedAt": "2026-04-26 08:53:30+00",
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    "deckSummary": "A classic BCG insights report: methodology-led setup, MECE trend buckets, two zoom-in deep dives (Millennials, Chinese) and a soft consulting-services CTA. Loosely fits Consultant's Gambit but functions mostly as a Triple Take data narrative — heavy on action-titles and pattern-hunter sequences, light on a true 'complication-resolution' arc.",
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    "titleQualityCritique": "Most analytical slides carry genuine insight-bearing action titles with numbers (p14 'Luxury casualwear confirmed as a major trend, especially for Forever Young generations'; p21 'Social Media rank as 1st influence lever... +29pp vs 2013'), though framing slides lapse into topic labels (p11 '10 trends relevant for the True-Luxury Consumers'; p23 'Global market trends')."
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