Statistical Significance vs Practical Significance in A/B Tests
Statistical significance proves a difference exists.
Maya Farouk
Customer Research
Consumer Insights
Geographic Segmentation Examples in Consumer Research Studies
Location shapes what consumers value and buy—not just where they shop.
Running Concept Tests Across Multiple Markets Simultaneously
Parallel testing reveals which concept wins in each market without corrupting results.
Everett Marlowe
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A/B Split Testing Fundamentals for Product and Marketing Teams
Well-formed hypotheses, sample size, and stopping rules separate insight from noise.
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Psychographic vs Demographic Segmentation in Consumer Research
Demographics tell you who buys; psychographics explain why they buy.
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Customer Feedback Survey Design for Product Research Teams
Weak survey design compounds mistakes faster than speed can catch them.
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Behavioral Cohort Modeling in CDP Pipelines
Unified data and RFM scoring enable cohort models that forecast customer lifetime value.
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Ethnographic Research Methods Adapted for Digital Consumer Contexts
Ethnography's core methods work online when you drop the physical location and keep the depth.
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Qualitative Research Techniques for Early-Stage Product Discovery
Match your research method to the question you're trying to answer at each stage.
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Primary vs Secondary Market Research for Product Teams
Skip the methodology debate and match your research method to what you actually need to learn.
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Maintaining and Updating Personas as Markets Shift
Personas that sit static quickly fall out of sync with markets—here's how to keep them current.
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Persona Development Process for Product and UX Teams
How to build personas that actually influence product decisions.
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