Articles on conversion optimisation, A/B testing and e-commerce, from 20 years of practice.
Pricing
Conversational AI in online retail has gone from an experimental nice-to-have to a strategic success factor. Gartner predicts that by 2026, 75 % of all customer interactions will be handled by AI without a human agent stepping in.
E-commerce UX
The most expensive decision in eCommerce is not product development.
A/B testing
It means replacing “gut feeling” with measurable facts so you grow faster, step by step.
Analytics
Web analytics basics are the foundation of every online shop’s growth. If you don’t understand your data, you are flying blind.
A/B testing
A/B testing is the methodical comparison of two versions of a web page, an element or a user flow to measure objectively which one earns a higher revenue per user (RPU).
A/B testing
A/B testing basics cover the systematic, Bayesian comparison of two versions of a web page, an element or a user flow to find out objectively which one earns a higher revenue per user (RPU).
E-commerce UX
Your online checkout decides between profit and failure. Every abandoned basket is revenue given away.
A/B testing
Checkout optimisation is the most critical lever for your online shop’s profit. Here, on the “last mile” to the purchase, it is decided whether visitors become customers and what revenue per user (RPU) you achieve.
A/B testing
The product page is where visitors decide: buy or not. No other page has more leverage on the conversion rate.
Pricing
Most shop owners treat the price like a technical spec: €49.99, done. But the price is the most important message on the whole product page.
Insights
Mobile ecommerce UX is everything a potential buyer experiences on a smartphone. 65 % of ecommerce traffic now comes from mobile devices. Yet most shops are designed on desktop and scaled down to the phone.
Pricing
The moment a customer puts a product in the basket is the most important conversation in the whole shop. At that moment they have decided: they want to buy.
E-commerce UX
Most shops treat personalisation as a nice-to-have: a few dynamic product recommendations, a personalised email subject line, done.
In the Dropoff Analysis you see where your shop loses buyers. Afterwards you know where the first step pays off.