6 Proven Ways to Increase Your E-Commerce Conversion Rate

In short: The six proven ways to raise your conversion rate are speeding up the page, strengthening the product page, simplifying checkout, building trust, recovering abandoned carts and putting mobile first. Each one is backed by independent research, but only your own measurement tells you which will work on your site. Measure the funnel first, find the step where you lose the most people, then fix that step.

The costliest misconception in e-commerce is this: “If more visitors come, I'll sell more.” You spend money to increase traffic, but sales stay right where they were. Because the real lever isn't traffic — it's the conversion rate, meaning how many of your incoming visitors turn into buyers.

Increasing conversion even by a small margin means more sales from the same traffic. Below are six methods that make a real difference, each with the source behind it and what to check on your own site.

Measure first: conversion rate and the sales funnel

The conversion rate is the number of purchases divided by the number of visitors. But a single rate does not tell you where the problem is. For that you need to measure, one by one, the steps a visitor goes through on the way to a purchase:

1. Viewing a product page
2. Adding to cart
3. Starting checkout
4. Entering shipping and payment details
5. Purchasing

Google Analytics 4 defines ready-made e-commerce events for these steps (view_item, add_to_cart, begin_checkout, add_shipping_info, add_payment_info, purchase). Once these events are set up correctly, the funnel exploration report shows the step at which visitors give up. Use that report to decide which of the six methods below to start with: if your biggest loss is on the product page, shortening the checkout form is not your priority.

6 ways to increase conversion

1. Improve page speed

A slow-loading product page loses the customer before they ever reach checkout. One of the cleanest pieces of evidence for this is an A/B test run by Vodafone: with no visual or functional difference between the two pages, the version that only received speed optimizations improved its Largest Contentful Paint (LCP) by 31% and sales rose by 8%.

Use Google's Core Web Vitals thresholds as your targets, met for at least 75% of visits and assessed separately for mobile and desktop:

• LCP (main content loading): 2.5 seconds or less
• INP (responsiveness to interaction): 200 milliseconds or less
• CLS (layout shift): 0.1 or less

What usually slows product pages down most is uncompressed images and unnecessary third-party code. We cover the details in our article on Core Web Vitals.

2. Strengthen the product page

Clear visuals, an honest description, and stock and delivery information remove hesitation. Images come first: in Baymard Institute's product page testing, 56% of participants' first action on arriving at a page was to explore the product images, before reading the title or the description.

• Show the product from more than one angle, and in at least one image show it in use or next to something for scale so its size is clear.
• Write the description from the customer's questions, not the supplier's text: who it suits, what it pairs with, how it fits.
• Show stock status, estimated delivery time and the shipping cost on the product page, before the customer reaches the cart.

3. Simplify the checkout step

The fewer clicks and required fields, the fewer abandoned carts. According to Baymard's list compiling 50 separate studies, the average cart abandonment rate is 70.22%. The same source reports that, setting aside people who were “just browsing,” 18% of US shoppers abandoned a cart because the site wanted them to create an account, and 17% because the checkout was too long or complicated.

• Allow guest checkout. If you want to offer an account, do it after the order is placed; Baymard observes that asking for an account at the start of checkout distracts users from their main goal.
• Cut the number of fields. According to Baymard, an ideal checkout flow can be as short as 12–14 form elements (7–8 counting only form fields), while the average US flow shows 23.48 elements by default. The total number of fields users must fill in matters more than the number of steps.
• Show the total early. On the same list, the most common reason for abandonment, at 40%, is that extra costs such as shipping, tax and fees were too high, and 12% say they could not see the total order cost up front.

Baymard calculates that fixing checkout issues that can be solved through design alone gives a large e-commerce site an average potential increase of 35.26% in conversion rate. That is an estimate, not a guarantee, but it shows how big a lever checkout is.

4. Build trust

Customer reviews, return terms and secure payment signals turn a “maybe” into a “yes.” In the same Baymard data, 19% of shoppers abandoned a cart because they did not trust the site with their card details, and 13% because the return policy was not satisfactory.

The effect of reviews has been measured too: according to a study by the Spiegel Research Center at Northwestern University, a product with five reviews is 270% more likely to be purchased than one with none, and purchase likelihood typically peaks at ratings of 4.0–4.7 stars. In other words, genuine, balanced reviews build more trust than a flawless 5 stars.

In Turkey there is a legal side as well: Article 5 of the Distance Contracts Regulation (Mesafeli Sözleşmeler Yönetmeliği) requires the seller to inform the consumer, before the contract is made, of its full address and contact details, the total price including taxes, extra costs such as shipping, and the conditions of the right of withdrawal.

5. Recover abandoned carts

Some abandoned carts are unavoidable; in Baymard's data, 42% of US shoppers say they left a cart because they were “just browsing, not ready to buy.” For the rest, two tools work:

• Reminders: an email, SMS or WhatsApp message about the unfinished cart. A message like this may count as a commercial electronic message, and under Article 6 of Turkish Law No. 6563 on electronic commerce, commercial electronic messages may only be sent with the recipient's prior consent. Set up consent and the personal-data side from the start; the details are in our data protection checklist.
• Help at the right moment: an assistant that answers on the site or on WhatsApp for a user who hesitates over shipping, sizing or returns brings back some of the lost sales.

Before the reminder itself, fix the reason for abandonment: if the shipping cost is a surprise, a reminder message does little more than remind people of the same surprise.

6. Make mobile a priority

In many stores, most visitors arrive on a phone; you can see your own share in your analytics tool's device breakdown. Every step that is difficult on mobile is a directly lost sale. In Baymard's product page benchmark, 48% of leading sites perform “decent” or better on desktop, but only 38% do so on mobile. On top of that, Google uses the mobile version of a page for indexing and ranking.

• Run through the whole purchase flow on a real phone, not an emulator.
• Keep the “add to cart” button visible at all times, including when the keyboard opens.
• Make filters, the checkout form and card entry comfortable to use with a thumb.

Doubling your conversion rate delivers the same result as doubling your traffic — but far more cheaply.

The six ways at a glance: what to check, what to measure

How to tell whether a change worked: A/B testing basics

You learn which change works through measurement, not taste. The most reliable way is an A/B test: some visitors see the current page, others see the changed version, and the results are compared. Nielsen Norman Group's guide to A/B testing recommends these steps:

1. Write a hypothesis: for example, “If we show the shipping cost on the product page, fewer people will abandon at checkout.”
2. Change one thing: if five things change at once, you cannot tell which one worked.
3. Calculate the sample size in advance: to do that you need your current rate, the smallest change you want to detect and a statistical significance threshold. In NN/g's example, detecting a 20% change on a 3% rate at 95% significance requires about 13,000 users.
4. Don't stop the test early: differences in the first few days are often chance.

If your traffic is low, confirming small changes with an A/B test can take weeks or even months. In that case, funnel data, usability testing with a few real users and a before-and-after comparison are a more realistic route; just read the result knowing it is less certain.

Common mistakes

• Measuring only total visitors: if the funnel steps are not measured, the location of the problem is guessed.
• Changing everything at once: whether sales rise or fall, you won't know why.
• Copying another site's “best practice”: research tells you what commonly causes problems; your own data tells you which one is the problem on your site.
• Looking only at the conversion rate: a rate driven up by aggressive discounts is not a gain if it lowers order value and profit; track average order value and returns too.
• Raising traffic without fixing the funnel: every new visitor sent to a site that cannot convert is a click you paid for and wasted.

With data, not guesswork

Being able to say “this change increased conversion by this much” instead of “I think this one is better” changes the game in e-commerce. Small, continuous improvements add up to a big difference over time. If you are still building your store, see our guide to building an e-commerce site to plan this measurement from day one.

At Kodakod, as part of our e-commerce solutions, we analyze your site's conversion funnel, use data to pinpoint where visitors are lost, and implement sales-boosting changes through measurable steps.