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Ecommerce Conversion Optimization: Turning More Visitors Into Customers Without Spending More on Ads

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9 min read Website Design

Ecommerce conversion optimization for small stores: find where shoppers drop off, then fix search, filters, cart costs and checkout, using Baymard's data and your own numbers.

TL;DR Too Long; Didn't Read

Before you change anything, find the step where shoppers leave: searching, adding to cart, reaching checkout or paying. Then fix that step first. The biggest leaks are usually surprise costs at the cart, forced account creation and long checkouts, which Baymard's research lists among the main reasons shoppers abandon carts. Ignore 'average conversion rate' benchmarks; the vendors publishing them disagree, so compare your store against its own baseline.

Ecommerce conversion optimization for small stores: find where shoppers drop off, then fix search, filters, cart costs and checkout, using Baymard's data and your own numbers.

Ecommerce conversion optimization means getting more sales from the visitors you already have, instead of paying for more traffic. For a small store, that’s usually the cheapest growth available, as long as you stop guessing. Find the one step where shoppers leave, fix that step, and measure again.

I design online stores, and this guide starts where shoppers actually drop off. This guide walks the path a shopper takes (find, decide, cart, checkout) and uses Baymard Institute’s research and your own store data instead of rules of thumb.

1. Find your leak before you fix anything

Your store already tells you where people drop off.

On Shopify, the Conversion rate breakdown report (Analytics, then Reports, in the Behavior category) shows the funnel: all sessions, sessions with cart additions, sessions that reached checkout, and sessions that completed checkout. Shopify defines conversion rate as “The percentage of sessions that resulted in a purchase,” and calculates each step against your total sessions. If lots of people add to cart but few reach checkout, your problem is the cart. If many reach checkout but few finish, it’s the checkout.

One detail worth knowing: Shopify only counts a session as reaching checkout when there was “user input (for example, a key press or mouse click) during checkout.”

In Google Analytics, the ecommerce events tell the same story: view_item_list, add_to_cart, begin_checkout and purchase, among others. Google’s ecommerce guide describes a typical setup as measuring “viewing item lists or details, adding or removing items from a cart, initiating checkout, making purchases or refunds, and applying promotions.”

To get a conversion rate out of Google Analytics, mark purchase as a key event and look at Session key event rate. Google’s Analytics Help defines it as “The percentage of sessions that converted” and gives the formula: “number of sessions in which a key event happened / total number of sessions.” One catch: it counts any key event, not just purchases. Google’s API reference describes it as the percentage of sessions “in which any key event was triggered,” so if you’ve also marked something like a newsletter signup as a key event, those sessions count too.

Shopify owners: check this before you panic

Shopify changed how it measures sessions, with a rollout from September 21 to 23, 2026. Identified bot sessions are now filtered out by default. Shopify’s own note: “Conversion rate is calculated from sessions. When your session count changes, your conversion rate can also change, even when your orders or sales haven’t changed.” If your rate jumped or dropped in late September 2026, that’s likely why. Shopify suggests using the update as a new baseline.

Ignore “average conversion rate” benchmarks

You’ll see a lot of benchmark numbers. While researching this post, I read four vendor guides. Outgrow says the average “ranges between 1-2%.” LimeSpot says it “hovers around 1.81%” and calls “around 3.2%” a decent benchmark. MIDA says most stores “convert between 2-3% of visitors.” Digital Web Solutions says “between 2% and 3%” and quotes Invesp at 2.35%.

They don’t agree, and every one of those pages comes from a company selling a tool or a service. Some of the figures are second-hand too: LimeSpot points readers to WordStream for one of its numbers, and Digital Web Solutions credits Invesp. Even MIDA says to “Focus on improving your own baseline rather than chasing a universal number.” I agree. Your own store’s trend is the only benchmark that matters.

2. Can shoppers find what they want?

Baymard Institute’s ecommerce search research puts it simply: “After all, if users can’t find what they are searching for, they can’t buy it from you.”

Check the searches that return nothing

This is the quickest fix I know on Shopify. Shopify’s behavior reports include one called “Top online store searches with no results.” It lists the search terms customers used in your store that “didn’t give them any results,” and how many sessions searched for each one.

Read that list once a month. Every entry is a product someone wanted to buy and couldn’t find, because of a different name, a missing synonym, or a product you don’t carry yet. Shopify suggests considering “whether adjusting your product titles and descriptions will help your customers to find what they’re looking for quickly,” and notes you can also “customize your store’s search results in the Search & Discovery app.”

While you’re there, open “Searches with no clicks.” Shopify describes it as “search terms with results that didn’t receive any clicks.” Results came up, but they weren’t what people wanted.

Build filters around how customers shop

When I started on Secrets of the Tribe, a Denver herbal supplements store, in 2024, the store had 300+ products and three filter options. Hotjar heatmaps showed shoppers clicking around without direction, trying to find products, and some gave up. The problem wasn’t too many products. It was no way to find them.

I designed collection pages that let shoppers filter by category, form (tincture, capsule and so on), health concern and key ingredient, and a development partner built them from my specs, along with real-time search, a product quiz and an AI product recommendation tool. On any store, I’d build filters around how customers actually shop rather than how the inventory is organized.

If you sell a large catalog to other businesses, filters also raise SEO questions about which filtered pages Google should index. My business-to-business ecommerce SEO guide covers that side.

3. The product page

The product page is where the decision happens. Before you redesign one, open your top-selling product on your phone and check four things: can you see the price and the delivery cost without scrolling, are the photos big and clear, is the description yours and not the manufacturer’s, and is there proof (reviews, lab results, a returns promise) near the buy button? I go through each of these step by step in my guide to product page SEO, so I won’t repeat it here.

4. The cart, with no surprise costs

Baymard Institute’s cart abandonment research puts the average documented cart abandonment rate at 70.22%, based on 50 different studies. Some of that is people who were never going to buy. In Baymard’s study of US online shoppers, 42% had abandoned a cart because they were “just browsing / not ready to buy.”

The rest is mostly fixable. When Baymard set the just-browsing group aside, these were the reasons shoppers gave most often for abandoning:

  • Extra costs too high (shipping, tax, fees): 40%
  • Delivery was too slow: 20%
  • Didn’t trust the site with their credit card information: 19%
  • The site wanted them to create an account: 18%
  • Too long or complicated checkout process: 17%
  • The website had errors or crashed: 17%
  • Returns policy wasn’t satisfactory: 13%
  • Couldn’t see or calculate the total order cost up front: 12%

The shares add up to well over a hundred percent, so many shoppers gave more than one reason.

The biggest one is also the easiest to fix. Show shipping cost and delivery time before the checkout, ideally in the cart itself, so the total never surprises anyone. If you offer free shipping over a certain amount, say so in the cart and show how close they are.

5. A shorter checkout, with a guest option

Several of Baymard’s reasons point straight at the checkout: forced account creation (18%), a long or complicated process (17%), and not enough payment methods (9%).

How long is too long? Baymard found that “the average US checkout flow contains 23.48 form elements displayed to users by default,” while an ideal flow “can be as short as 12-14 form elements (7-8 if only counting the form fields).” To check your own store, count every field a first-time buyer has to fill in.

What I’d look at, in order:

  1. Guest checkout. Let people buy without creating an account. Offer the account after the purchase.
  2. Fewer fields. Remove anything you don’t need to ship the order and contact the buyer.
  3. More ways to pay. Express wallets and the payment methods your customers actually use.
  4. Trust at the payment step. 19% of Baymard’s respondents didn’t trust a site with their credit card information, and 13% named an unsatisfying returns policy. A clear return policy and recognizable payment options help here.

Baymard also says the average large ecommerce site “can gain a 35.26% increase in conversion rate though better checkout design.” Keep in mind that figure is for large sites. I’d treat it as a sign of how much room checkouts have, not as a promise for a small store.

6. Mobile checkout and speed

Baymard’s mobile research notes that it’s “not uncommon for mobile e-commerce sites to still have a significantly poorer conversion rate than their desktop counterpart,” in some cases “converting less than half as many visitors into customers.” Compare your mobile and desktop conversion rates in your own reports. A big gap tells you where to look.

On Tycoon Games, a board game store I designed in 2024, every design decision started with the phone experience, and the case study records a mobile conversion rate within 3% of desktop. That’s a store-wide figure, not the result of a before-and-after test.

Speed is part of the same problem. Google’s Core Web Vitals targets are a good yardstick: the main content should load within 2.5 seconds, the page should respond to a tap in less than 200 milliseconds, and the layout shouldn’t jump around (a score of less than 0.1). The Tycoon Games store, which a development partner built and optimized from my design, measured a mobile LCP (main-content load) of 1.6 seconds and an INP (response time) of 113 milliseconds, both inside Google’s targets.

What I’d fix first on a small store

If you only have a day, work through this list in order and measure after each change:

  1. Write down your current funnel numbers (added to cart, reached checkout, completed checkout) as your baseline.
  2. Show shipping cost and delivery time in the cart.
  3. Turn on guest checkout.
  4. Read your “Top online store searches with no results” report and fix the five terms people search for most.
  5. Count your checkout fields and remove what you don’t need.
  6. Compare mobile and desktop conversion rates, and test your checkout on your own phone.

You’ll notice A/B testing isn’t on the list. Testing needs enough traffic to give a clear answer, which many small stores don’t have yet. Even Optimizely, which makes testing software, tells low-traffic sites to check “how many visitors are needed in each test branch” and to avoid testing areas of a site “that get few hits.” I explain the difference between designing for conversion and testing for it in my post on conversion-focused web design.

If you’d like help with your store, see how I approach ecommerce website design, or book a free 30-minute call.

Frequently Asked Questions

There isn't one reliable average. The vendor pages I checked put it anywhere from 1-2% to around 3.2%, and they disagree with each other. Your store's own trend is the number that matters: measure it, fix one step, and compare against your baseline.

Mostly surprise costs. In Baymard Institute's research on US online shoppers (leaving out people who were just browsing), the reason given most often was extra costs such as shipping, tax and fees at 40%, followed by slow delivery at 20% and not trusting the site with their card at 19%.

Shopify changed how it measures sessions. The update rolled out September 21 to 23, 2026, and filters identified bot sessions by default. Because conversion rate is calculated from sessions, it can change even when your orders didn't. Shopify suggests treating it as a new baseline.

Look for Session key event rate. Mark your purchase event as a key event. Google calculates Session key event rate as the number of sessions in which a key event happened divided by total sessions, so if purchase is your only key event, that's your store's conversion rate.

Usually not first. Testing needs enough traffic to give a clear answer. A small store gets more from fixing obvious leaks (surprise costs, forced accounts, long forms, searches that return nothing) and comparing before and after.

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Kristian Kreaktive at a Google event

Written by

Kristian Kreaktive

Founder & Lead Strategist at KREAKTIVE

#1 Freelance Digital Strategy Expert on Clutch (Oct 2026). 17 years in digital marketing, 15 of them running his own agency, building websites and SEO strategies that bring real results for small businesses.

#1 Freelance Digital Strategy Expert (Oct 2026) Ranked #1 Freelance Digital Strategy Expert on Clutch, Oct 2026 #3 Freelance Web Designer (Oct 2026) Ranked #3 Freelance Web Designer on Clutch, Oct 2026 Featured by Google Google Actívate Success Story (Google) 5.0 Google rating from 44 Google reviews: 24 on the KREAKTIVE profile (Spain) and 20 on the DMS profile (Colorado Springs)
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