Reference Deep-Dives — Page 38
How to Run Consumer Research for Brand Repositioning
A structured approach to consumer research for brand repositioning — from perception audits to repositioning validation, with frameworks that reduce risk.
Brand Equity as an Acquirable Asset: A PE Framework
A PE investor's framework for evaluating brand equity before acquisition. Qualitative measurement of brand strength, vulnerability, and competitive positioning.
How to Understand What Drives Brand Switching in Retail
Brand switching is a rational response to unmet needs. The trigger-search-switch framework and how to research competitive vulnerability in retail markets.
What Drives Brand Switching in Retail
Research methods for understanding and preventing brand switching in retail. Identify why shoppers leave preferred brands and what triggers the decision.
How to Build a Churn Diagnosis Research Cadence
A two-rhythm cadence model for churn research: always-on triggers plus quarterly deep dives. Roles, rituals, and a mechanism taxonomy retention teams can use.
Buyer Sentiment Analysis in Closed-Lost CRM Data
Extract buyer sentiment from closed-lost CRM records and supplement with structured research. Move beyond loss reason codes to actual decision drivers.
How to Build a Consumer Insights Function at a Fortune 500
A practical framework for building a consumer insights function at Fortune 500 companies, from team structure to technology stack and executive alignment.
Category Growth Potential Research for Private Equity Investors
How PE firms use customer research to validate category growth potential beyond TAM models — growth drivers, expansion signals, and growth ceiling analysis.
Category Purchase Drivers Beyond Price and Promotion
Uncover real category purchase drivers beyond price and promotion using depth interview methodology that reveals what shoppers actually weigh at the shelf.
Category Growth Potential Research: Sizing the Opportunity
How PE deal teams validate category growth assumptions using consumer demand research instead of relying solely on top-down market sizing reports.
Why POS Data Can't Explain Category Purchase Drivers
POS data shows what shoppers buy, not why. Research methods that uncover the real drivers of category purchase decisions and inform assortment strategy.
Churn Prediction vs. Churn Understanding: Why You Need Both
Predictive churn models identify at-risk accounts. Qualitative research explains why — and why prediction alone leads to ineffective retention programs.