Calculate the right metric, segment the journey, isolate the largest drop, and prioritise evidence-backed ecommerce improvements instead of guessing.
Measure consistently
For an ecommerce purchase rate, divide completed orders by sessions and multiply by 100. Use the same analytics source and definition when comparing periods; otherwise tracking changes can look like performance changes.
Store-wide conversion rate is only the starting point. A useful diagnosis separates traffic quality from on-site friction and helps locate where the buying journey may be weakening.
Ecommerce conversion rate
Completed orders ÷ sessions × 100
Also monitor product views, add-to-cart, checkout starts, purchases, revenue per session, refunds, and margin. A higher purchase rate is not useful if discounting or poor-fit orders destroy profitability.
Segmentation checklist
| Segment | Question | What to investigate |
|---|---|---|
| Device | Is mobile materially weaker than desktop? | Test navigation, product options, sticky UI, forms, wallets, speed, and layout stability on real phones. |
| Acquisition channel | Does one campaign bring clicks without product engagement? | Check search intent, audience targeting, offer continuity, and landing-page message match. |
| Landing page | Do some entry pages lose visitors before product exploration? | Clarify the offer, remove first-screen distractions, and make the next shopping action obvious. |
| Funnel stage | Where is the largest drop from view to cart to checkout to purchase? | Investigate the first abnormal step instead of redesigning the entire store. |
| Visitor type | Are new visitors much weaker than returning visitors? | Strengthen product evidence, business credibility, delivery clarity, and low-risk purchase reassurance. |
Traffic or conversion?
Visible-storefront review
The automated scan reviews public pages. It is designed to reveal observable friction, not to claim that one issue caused a specific revenue loss.
Whether key pages make the product, next action, delivery expectations, and purchase terms understandable.
Whether support, policies, contact routes, and accountability signals are findable and internally consistent.
Whether relevant reviews, guarantees, payment reassurance, and risk-reducing information appear near decisions.
Whether the public path through navigation, product pages, cart, and checkout entry creates avoidable obstacles.
Prioritisation
Rank each finding using reach, observed severity, confidence in the evidence, implementation effort, and commercial risk. High-confidence defects should come before subjective redesign ideas.
Related Shopify resources
Free storefront scan
Run the free scan, compare its findings with your analytics, and build a prioritised action list around the funnel stage that is actually underperforming.