Consumer Intelligence and the Age of Predictive Marketing Analytics
summary
Claims that brands can move from reactive to proactive by combining data, tech and people with specific tools: Talkwalker’s platform and proprietary AI BlueSilk for cleaning, predictive scoring and image detection; integrating first‑party POS/shelf/stock feeds with social and review data to forecast demand. Surprising metrics cited: 97 zettabytes of data and a reported 17.5% drop in positive CX mentions. Example: a major US retailer layers real‑time store data with social signals, preempts stockouts, tweaks app offers and increases revenue, saving time and cost.
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chapters (19)
- 0:00Consumer Intelligence intro
- 1:46Consumer expectations shift
- 5:17Limits of data correlation
- 7:41Data for insights
- 9:26Tech accelerates
- 11:32Human analysis challenges
- 13:16Power of tech and people
- 14:18Centralize data
- 16:27AI in predictive marketing
- 18:12Visual analytics monitoring
- 19:59Team platform alignment
- 21:24Human insights context
- 22:50Social listening to intelligence
- 24:37Shift to consumer closeness
- 27:48Predictive marketing use case
- 30:55Social teams and intelligence
- 32:16PR in digital age
- 33:40Insights teams and data
- 34:42Conclusion and call
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