Most stores do not have a traffic problem. They have a friction problem. Below are the ten features that consistently show up in stores that convert well.
1. Product search that tolerates human typing
Handle misspellings, synonyms and partial names, show suggestions as people type, and never return a bare "no results" page. Search users convert at a far higher rate than browsers, which makes weak search one of the most expensive faults a store can have.
2. Filters built from real attributes
Size, fit, material, price, availability, use case — filters that reflect how customers choose, with counts shown and state preserved when they hit back.
3. Mobile-first speed
Test on a mid-range phone on a normal connection, not on your laptop. Compress images, serve modern formats, defer non-critical scripts and audit the third-party tags you have accumulated. Every second of delay costs conversions.
4. Product pages that answer objections
Multiple real images, scale reference, specifications in a table, sizing guidance, delivery timing, returns terms and reviews on the page. If a customer has to email you to make a decision, most will not.
5. Honest stock and delivery information
Show availability and a delivery estimate before checkout. Nothing kills repeat purchase faster than discovering a two-week wait after payment.
6. Reviews with substance
Volume, dates, verified purchase markers and photos. Filterable by rating. Answered negative reviews build more trust than a wall of five stars.
7. Checkout with the fewest possible fields
Guest checkout, address autocomplete, no forced account creation, one visible total including shipping and tax, and multiple payment methods including the wallets your customers actually use. Every extra field loses buyers.
8. Trust signals where the decision happens
Returns policy, contact route, security marks and delivery terms near the add-to-cart and payment buttons — not buried in the footer.
9. Recovery flows that run automatically
Abandoned cart sequences, back-in-stock alerts and post-purchase follow-up. These recover revenue you already paid to acquire.
10. Analytics you can act on
Funnel tracking by step and device, search terms with no results, filter usage and drop-off points. Without this you are guessing which of the previous nine to fix first.
How to prioritise
Instrument the funnel, find the step with the biggest drop, fix that one, measure, repeat. Redesigning everything at once tells you nothing about what worked.
If you want this done properly, our Conversion Rate Optimization service starts with the funnel data, and AI Websites covers the speed and structure side.