60% of traffic is mobile but only 30% of conversions. Breaking the funnel into four rates, ranking abandonment causes, and concrete fixes for the mobile gap.
In Turkey around 60% of e-commerce traffic comes from mobile, yet only about 30% of conversions happen there. That gap alone is the single largest loss in most stores. This article covers how to read your conversion rate, which step of the funnel is leaking, and the order in which to intervene.
Conversion optimisation is usually discussed at the level of "let's change the button colour". But there is a measurable funnel, and every change made before locating the loss is a guess. Know where you are first, then decide where to intervene.
Where you should be
| Conversion rate | Assessment |
|---|---|
| 1–2% | Below average — a structural problem in the funnel |
| 2–3% | Good; the sector average sits in this band |
| 3–5% | Very good |
| 5%+ | Top tier for most sectors |
The general e-commerce average sits around 2–3%, with some measurement periods reporting averages below 2%. But benchmarking yourself against a single average is misleading: sector, price band and traffic source change conversion significantly. Comparing against your own historical data is more meaningful than comparing against a sector average.
The biggest opportunity: the mobile gap
Most traffic arrives on mobile while a minority of conversions happen there. That spread shows the mobile experience lagging behind desktop, and in most stores it is the largest recoverable loss.
- Slow first load. Core Web Vitals are measured on mobile by default, and speed ties directly to conversion. We cover the thresholds and fixes in our page speed article.
- Intrusive pop-ups. An overlay covering content on a small screen sends visitors back.
- Small tap targets. Variant selectors and the add-to-basket button should be at least 48×48 px on mobile.
- Long form fields. Every extra field at checkout costs more on mobile than on desktop.
A practical measurement: compare conversion rate by device in GA4. If mobile is below half of desktop, the first item on your priority list is settled.
Break the funnel apart: where exactly is the loss
- Product page view → add to basket. If low, the problem is on the product page: imagery, price perception, stock and delivery information, missing reviews.
- Add to basket → checkout started. If low, the problem is in the basket: a surprise shipping charge is the most common cause.
- Checkout started → order completed. If low, the problem is in checkout: form length, payment options, forced account creation.
- Mobile versus desktop. Break every step down by device as well.
Once these four numbers exist, "let's improve conversion" becomes something concrete like "we lose 40% between basket and checkout — let's show shipping cost earlier".
Cart abandonment: 70% is normal, but reducible
Average cart abandonment in e-commerce is around 70%, reported in the 70–80% band for Turkey. Three of every four people who add to basket leave. Not all of it is loss — some is browsing behaviour with no purchase intent. But the reducible part is large.
- Show shipping cost early. Unexpected shipping charges appearing at checkout lead the list of abandonment reasons. Announce the free shipping threshold on the product page.
- Allow guest checkout. Forced registration is one of the harshest losses among first-time buyers.
- Shorten checkout. Remove every non-mandatory field; autofill address fields.
- Diversify payment options. Instalments, cash on delivery and bank transfer make a marked difference in Turkey.
- Set up abandoned cart email. An hour to configure, with a return that keeps coming.
A note: Shopify's accelerated checkout, Shop Pay, raises conversion markedly compared with guest checkout — but because it depends on Shopify Payments, sellers in Turkey should verify its availability in their admin. We cover the Turkey-specific payment constraint in our setup article.
The product page: where the decision is made
- Images. Show the product in use, give a sense of scale, allow detail zoom.
- Delivery information. Answer "when will it arrive" on the page itself.
- Social proof. Review count and rating; a product with no reviews does not convert.
- Return terms. A visible, understandable returns policy lowers perceived risk.
If you also want to grow search traffic, see our product page SEO article — the same page works for both conversion and ranking.
Testing discipline
- One change at a time. Change three things in one week and you will not know which worked.
- Wait for a sufficient sample. Daily variance is high; decide on at least one to two weeks of data.
- Measure against the target metric, not revenue. A change that improves the basket step will not show up in revenue if ad spend was cut the same week.
Common mistakes
- Looking at the overall rate without breaking the funnel down. A change made without knowing where the loss is, is a guess.
- Treating mobile as a smaller desktop. Most of the traffic is there, and so is most of the loss.
- Showing shipping cost at the last step. The most common abandonment reason.
- Trying to fix conversion with more traffic. Advertising on a page that does not convert only produces more expensive loss.
- Ending tests early. The first three days of data are usually misleading.
Conclusion
Conversion rate is not one number but a chain of four separate rates. In most stores the largest gain hides in the mobile experience and the basket-to-checkout transition; neither is technically hard — they are simply invisible because nobody measures them.
For a deeper look at abandonment, see reducing cart abandonment; for the measurement setup, see GA4 e-commerce tracking.
At Commerslab we run funnel analysis and conversion improvement together for Shopify stores. See our e-commerce consulting service or request a funnel analysis for your store.
These rates vary by sector and measurement period; comparing against your own data is more reliable than comparing against a sector average.
