The product page doesn’t answer the buying question
Missing reasons to buy, images, reviews or unclear price presentation: interest doesn’t turn into a decision. Station 05 Product interest.
Use case · Increase shop conversion
More orders from the traffic your shop already has.
Before more budget goes into advertising, look at the transitions in your shop: product page, cart, checkout and payment. Losing less here lowers the cost per order – without a single euro more in ad budget. Whether that is the biggest lever in your shop, we check with your data.
Analyze my shop
Stations 05, 04, 03 and 01 on the path of the money – prioritized by impact, not by order.
The problem
The traffic arrives. The orders don’t.
Surprises in the cart
Shipping costs or delivery times appear too late. Station 04 Cart, metric cart-to-order rate.
Friction in checkout and payment
Too many fields, missing payment methods or failed authorizations. Stations 03 Checkout and 01 Payment.
Approach
How we go through the transitions
- 01
Measure backwards from the result
Payment, order, checkout, cart, product page: every transition gets a number, as far as your shop and analytics data allow.
- 02
Prioritize by impact
Expected impact on contribution margin, effort and feasibility decide – not the position in the funnel.
- 03
Change, measure, decide
Every adjustment is measured against the previous state. Whatever is still a hypothesis stays marked as a hypothesis.
Documented projects
Transitions that were improved
Three published projects related to checkout, purchase barriers and conversions. Results are project-specific and historical.
All figures come from the linked case studies and refer exclusively to the projects described there.
Learn more
These pages lead on
- The path of the money – e-commerceAll ten stations with metric, problems and levers.Open
- Shop conversionHow we review the product page, cart, checkout and payment.Open
- Google Ads for E-CommerceSteer ready-to-buy demand by contribution margin – and send traffic to pages that sell.Open
- Academy: measuring impactHow to measure transitions without getting lost in dashboards.Open
Frequently asked questions
Clearly answered.
Is that classic conversion optimization with A/B tests?
In part. Where traffic and orders are sufficient for reliable tests, we test. Otherwise we measure against the previous state and flag open hypotheses.
Will you rebuild our shop?
A complete relaunch is not our starting point. We improve the transitions with the greatest expected leverage – ourselves or together with your team or your shop agency, depending on the agreed scope.
Does a higher conversion rate automatically mean more profit?
No. More orders through bigger discounts can lower contribution margin. We evaluate measures by what is left after variable costs and marketing.
