User Behaviour

Understand customer behaviour patterns through advanced analytics that reveal optimisation opportunities whilst providing insights into customer preferences and pain points. Learn behaviour analysis techniques, user flow optimisation, and experience improvement strategies that enhance customer satisfaction whilst increasing conversion rates. From heatmap analysis to session recordings, master behaviour analytics that guide experience improvements whilst supporting business growth.

You Probably Don't Need A/B Testing

with Oliver PalmerfromOliver Palmer Consulting

Explore why user research is 'brutally effective' for understanding customer behaviour on your eCommerce site. Oliver shares practical methods including guerrilla research in retail departments, on-site intercepts targeting non-purchasers (the 95% who don't buy), and remote video sessions via Zoom. Discover the wine retailer insight about psychological barriers to 'mixed packs' versus 'subscriptions,' the magazine site that increased conversion 15% by removing one sentence, and why talking to just five users reveals 85% of usability issues.

Sort by:
The Case For Conversion Rate Optimisation: Experiment To Learn
AJ Davis

The Case For Conversion Rate Optimisation: Experiment To Learn

AJ provides deep insights into understanding user behaviour through usability testing, explaining the 'five-person' methodology that captures 80% of usability problems. She details how to conduct moderated and unmoderated studies, what questions to ask during testing, and how to observe real customer behaviour without bias. The episode emphasizes watching how users interact with sites rather than relying solely on analytics data or assumptions.

What Does Customer Focus Look Like for an eCommerce Business
Neil Roberts

What Does Customer Focus Look Like for an eCommerce Business

This episode provides deep insights into understanding user behaviour through analytics, exit surveys, and direct observation. Neil demonstrates how to use Google Analytics to identify drop-off points, implement exit surveys with three critical questions (Why did you come? Were you successful? If not, why not?), and analyze user session recordings with tools like Hotjar. Listeners learn how to distinguish between different user types (quick decision-makers vs. extensive researchers) and design experiences that accommodate multiple behaviour patterns simultaneously, as exemplified by Amazon's product page architecture.