Insights on experimentation, conversion, and data-driven growth.
User Behavior & Insights
Google Analytics shows where users click, leave, or convert. But it does not always explain why those actions happen. In this article, you will learn how to combine quantitative data, CES surveys, and A/B testing to uncover invisible problems in the user journey and improve your e-commerce experience with less guesswork.
Experimentation
The article explains what A/B testing is in e-commerce, how it works, and when it is worth using. It presents practical examples for product pages, buy buttons, shipping information, cart experience, and homepage sections, showing how teams can validate hypotheses with real user data instead of relying on assumptions. It also covers when A/B testing may not be the best option, such as low-traffic pages, obvious usability issues, or tests without a clear hypothesis.
Experimentation
Google Optimize is no longer available, and replacing it requires more than finding another visual editor. Learn how to evaluate an alternative based on performance, measurement, integrations, targeting, governance and experimentation maturity.
Experimentation
Choosing an A/B testing tool for e-commerce requires more than comparing features. Learn how to evaluate performance, targeting, metrics, integrations, governance, usability and experiment quality before adopting a platform.
Experimentation
The checkout is the most sensitive step in any e-commerce store. Before running A/B tests there, you need to understand the risks, choose the right metrics, and ensure consistency. This guide walks you through what to consider before experimenting at checkout.
Experimentation
The product detail page is one of the most important pages in any e-commerce. Learn what to test on your PDP with A/B testing, from titles and images to CTAs and pricing layout, and how to make better decisions based on real data.
Experimentation
Discover 10 practical A/B test ideas to improve your online store's conversion rate. Learn what to test, why it matters, and how to prioritize experiments that drive real results.
Experimentation
Discover which GA4 events every e-commerce store should track to understand user behavior, improve conversion rates, and make smarter decisions based on real data instead of guesswork.
