Category Archives:

The Architectural Components of Consumer Analytics

– Data (Consumer Geo-demographic and Market Research Panels, and Transactional)

– Integrated Insights

– Market Trends vs. Consumer Trends Vs. Customer Trends

– Competitive Intelligence vs. Product Intelligence

– Addressability, Scalability of Insights for Marketing 1-1

– BIAs Reduction in Insights

– Balancing the sample (bias is completely eleminated if samples can be balanced)

– possibility sampling or unavoidable sampling; apply applicable_algorithm approach

– Bias introduced by Missing values

– Insights vs. Prediction

– Customer life time value calculations

– In market timing models

– Affinity and Cross-affinities (Brand)

– Propensities and Cross propensities (Product)

– communication channel propensity models

– Shopper channel prefernce models

From Data Monster & Insight Monster