Find friction with a baseline
A low overall conversion rate does not identify a cause. Look at device, channel and customer differences, then walk the same journey as a shopper. A product unavailable in the selected size is a different problem from a hidden delivery charge.
- Record sessions and orders by device
- Inspect search and collection behaviour
- Read recurring customer questions
- Separate stock and acquisition problems
Turn findings into a bounded sprint
The existing store review produces a prioritised fix list; a sprint builds an agreed subset. Improvements can include navigation, useful filters, product information or cart messaging. Work is planned around your promotions and tested before release.
- Rank findings by impact and effort
- Agree the affected templates
- Build on a duplicate theme
- Define a rollback and handover
Measure without inventing uplift
Compare the chosen journey metrics before and after release. Note seasonality, campaigns, pricing and stock changes. Where traffic is low, report the usability change and the limits of the data rather than presenting noise as a conversion result.
- Choose a primary measurement
- Keep a dated change log
- Check for negative side effects
- Use the four-week follow-up to decide next steps
A common question
Can you guarantee a higher conversion rate?
No. The offer is to remove observed friction, agree measurements and report outcomes honestly. Traffic quality, pricing and product demand also affect conversion.