More traffic will not fix a store if shoppers are dropping out on the product page or in checkout. Find the point of loss first, then decide whether additional media spend makes sense.
First check whether the traffic has buying intent
A store can grow sessions and still sell less if the incremental traffic is weak. Compare channels by product views, add-to-basket rate, checkout starts, purchases and order value. CPC and session volume do not tell you whether the visitor had a realistic reason to buy.
Look for broad informational queries, low-intent audiences and ads that create an expectation the product page cannot meet. Conversion problems can begin before the visitor lands on the site.
The product page must answer purchase questions
A photo, title and buy button are not enough for products with meaningful price or complexity. Shoppers need dimensions, variants, materials, use cases, delivery timing, returns, warranty and a clear reason the price makes sense. Use customer questions to improve the page rather than repeating supplier copy.
Prioritise high-traffic products with weak add-to-basket rates. They already have demand; the commercial opportunity is to remove the uncertainty blocking intent.
Price is more than the number on the product
Customers evaluate the total decision: item price, delivery, delivery date, returns, finance and risk. Unexpected shipping charges in the basket can undo an apparently competitive product price. Show important conditions before checkout where possible.
Do not respond to every competitor with a discount. Faster delivery, better support, stock availability or easier returns can justify a premium if the store communicates them clearly.
Treat mobile as its own buying journey
Many stores receive most sessions on phones while UX reviews still happen on desktop. Complete the full purchase on common devices. Check speed, filters, product media, sticky elements, keyboard behaviour, validation, payment redirects and what happens when the user returns to the site.
Small mobile friction multiplied across thousands of sessions can cost more than an underperforming advert. Responsive design is the starting point, not the final quality check.
The basket should reduce uncertainty
Common leaks include surprise shipping, forced accounts, a prominent coupon field, missing payment methods, too many steps and unclear delivery dates. Measure add-to-basket, begin checkout, delivery selection, payment step and purchase separately.
If abandonment spikes on one device or payment method, a technical problem may be showing up in the business dashboard as “poor marketing”.
Trust should match the risk of the purchase
Higher-priced and unfamiliar products need stronger evidence: credible reviews, real images, company details, clear returns and accessible support. Avoid decorative trust badges that do not answer a real concern. The question is what makes a shopper hesitate at this exact stage.
Support tickets and pre-purchase questions are a useful research source. Repeated questions usually identify information that belongs on the product or delivery page.
A promotion can raise orders and reduce profit
Discounts may lift conversion while damaging margin or attracting buyers who never return. Measure promotions against gross profit, repeat behaviour and customer mix, not transactions alone. In paid media, revenue-based ROAS can also hide low-margin sales.
Where possible, join media cost with product margin and returns. That creates a much better view of which campaigns are actually worth scaling.
Search, filters and categories sell as well
Large ranges need fast product discovery. Weak internal search, missing synonyms, awkward mobile filters or warehouse-led categories create sessions that never reach a relevant product. Analyse internal searches and no-result terms.
A customer-led category structure also helps SEO because landing pages align with real ways people search, rather than internal catalogue logic.
Measure the full commerce funnel
Purchase is the business result, but diagnosis needs the stages before it: item view, add to basket, checkout, shipping, payment and purchase. Validate that events are not duplicated and that revenue and currency are correct.
Add acquisition cost, gross margin, average order value, returns and new-versus-returning customer mix. Then you can see whether the store is producing valuable sales, not just transactions.
Prioritise fixes by commercial impact
A CRO audit can produce a long backlog. Rank issues by traffic exposed, severity and confidence. Broken checkout behaviour, poor mobile product pages and hidden delivery cost usually deserve attention before cosmetic tests on low-volume pages.
Every meaningful change should have a hypothesis and a measurement plan. CRO is decision-making, not a collection of random A/B tests.
When a full e-commerce audit is useful
If paid traffic grows while order acquisition cost rises, the account alone may not explain the problem. Combine analytics, media, product feed, UX, checkout, offer and margin. That tells you whether the biggest constraint is demand, merchandising, conversion or unit economics.
This is how MB Digital Marketing approaches e-commerce: find the constraint first, then decide whether the next pound belongs in media, product-page work, checkout or measurement.
Related reading
Sources
Information checked: September 2026.
FAQ
Why does an online store have traffic but few orders?
Check traffic quality, product-page clarity, pricing and delivery, mobile UX, checkout, payment methods, trust and analytics.
Will more advertising fix low sales?
Only if the existing journey converts efficiently. More traffic into a weak checkout can increase acquisition cost.
What should I analyse first?
The funnel from product view to basket, checkout and purchase, segmented by source, device and product.
Does a high ROAS mean the store is profitable?
Not necessarily. Margin, discounts, returns, shipping subsidies and customer mix also matter.
When should a store work on CRO?
Continuously once there is enough traffic to identify meaningful leaks, especially before scaling paid acquisition.