The research notebook
Ecommerce insights, research, and practical analysis.
Analysis, frameworks, experiments, and practical ways to use AI to understand customers, validate products, analyze competitors, and investigate ecommerce problems.

Why Ecommerce Analytics Cannot Explain Why Customers Buy | Miyeta
Ecommerce analytics shows what customers do, but often cannot explain why they make decisions. Learn how AI customer intelligence helps businesses understand customer motivations, uncertainty, and purchase decisions.

What Customer Questions Reveal About Ecommerce Purchase Intent | Miyeta
Customer questions reveal what ecommerce shoppers are uncertain about before buying. Learn how AI can analyze customer questions to uncover purchase intent, objections, and unmet needs.

How AI Can Separate Customer Signals From Noise in Ecommerce Data | Miyeta
Ecommerce teams collect reviews, questions, analytics, and feedback, but not every signal means the same thing. Learn how AI can separate meaningful customer signals from noise and improve ecommerce decisions.

How AI Can Help Understand the Ecommerce Buying Decision
Ecommerce data can show what customers did, but not always why. Learn how AI can help ecommerce teams investigate the questions, concerns, comparisons, and decisions behind customer behavior.

How to Turn Customer Feedback Into Ecommerce Decisions With AI
Customer feedback is only valuable when it improves a decision. Learn how AI can turn reviews, support messages, questions, and feedback into evidence for better ecommerce product, website, positioning, and customer decisions.

What Can AI Actually Learn From Customer Reviews?
AI can do much more with customer reviews than summarize sentiment. Learn what ecommerce teams can uncover from reviews, including customer scenarios, needs, expectations, objections, and buying signals.

Why Sentiment Analysis Isn't Enough for Ecommerce Customer Intelligence
Sentiment analysis can classify customer feedback as positive or negative, but ecommerce teams need more than emotion. Learn how AI can investigate customer context, needs, objections, and buying decisions.

AI Customer Research vs Traditional Customer Research
Traditional customer research is not disappearing. AI changes how ecommerce teams collect, analyze, and continuously investigate customer evidence, making research faster, broader, and more continuous.

How AI Is Changing Ecommerce Customer Research
AI is changing ecommerce customer research from periodic manual analysis into a more continuous process of investigating customer evidence, context, and buying decisions.