Start by diagnosing what’s working on your site and what isn’t.
Then, apply targeted fixes based on real data. Not hunches.
In this guide, I’m sharing my lessons and strategies from 10+ years in digital marketing.
Plus, I interviewed four leading ecommerce website optimization experts for their best conversion-driving insights:
Leigh McKenzie from UnderFit (also head of SEO @ Backlinko)
Rishi Rawat from Frictionless Commerce
Anna Bolton from Conversion Copy Co.
Kurt Philip from Convertica
Let’s start by identifying the biggest roadblocks standing between you and more revenue.
Phase 1: Analyze and Diagnose Your Site’s Existing Issues
Every effective ecommerce website optimization strategy starts with a solid, data-driven diagnosis.
As economist W. Edwards Deming once said:
“Without data, you’re just another person with an opinion.”
Quantitative Research: Finding Patterns in the Numbers
Quantitative research focuses on analyzing data to identify trends and behaviors.
It helps you answer questions about your online store’s performance, such as:
Where are visitors dropping off in the funnel?
What are users actually doing on each page (scrolling, clicking)?
How does behavior differ across traffic segments (e.g., mobile vs. desktop, organic vs. paid)?
The good news:
There are many tools to help you with this analysis.
Google Analytics (GA4)
Google Analytics provides helpful insights into user behavior and website performance.
Including how visitors from different traffic sources behave.
For example, to uncover drop-off points during checkout:
Navigate to Reports > Monetization > Checkout journey.
This lets you examine the flow from checkout to purchase.
And analyze abandonment rates for each stage to identify potential bottlenecks.
For example, a high abandonment rate on the payment page might signal technical issues.
Or trust barriers, such as last-minute doubt about product quality.
Pro tip: There’s no universal definition of a high abandonment rate. It varies by industry, funnel, and goals. Compare it against your historical data to see if there’s a problem.
Hotjar
Hotjar, a heatmap and behavior analytics tool, is incredibly powerful for qualitative research (more on that soon).
It gives you a clear picture of how online shoppers interact with your site.
And lets you uncover friction points that frustrate users.
For example, click tracking reveals where visitors interact with your site.
And which elements get the most engagement.
Scroll heatmaps show you how far users make it down a page. And where they drop off.
And cool colors (like blue) signal lower engagement.
Move heatmaps track how shoppers move their mouse across the page.
This reveals areas of interest and hesitation.
Session replays let you watch real user recordings, showing exactly how visitors navigate your site.
Watch this in action below:
Semrush Site Audit
Semrush’s Site Audit tool uncovers technical issues that affect SEO and the user experience (UX).
For example, it flags crawl errors, which are usually caused by broken links or incorrect redirects.
These dead ends confuse users and make it harder for search engines to crawl your pages.
(And if Google struggles to crawl them, your ranking can take a hit.)
The tool also identifies slow-loading pages that frustrate visitors.
It can also identify code bloat (aka too much JavaScript or unused CSS) that makes pages sluggish.
This can cause delayed interactions that lower conversion rates.
Qualitative Research: Uncover the “Why” Behind the Data
Qualitative research helps you understand why customers behave the way they do.
Including their pain points, motivations, and desires.
It also helps you identify barriers to conversion, such as hesitations about buying.
And learn about other products your web visitors are considering.
Qualitative Research Methods
There are many data sources for qualitative insights.
And each one can reveal different issues and opportunities:
Research Method
What to Look For
Effort level
Recorded sales calls
Patterns in customer questions, objections, or recurring themes
Low
Live chat transcripts
Common pain points, frequently asked questions, or sources of confusion
Low
Customer reviews
Trends in positive and negative feedback. This includes specific phrases or words that highlight desires, frustrations, or expectations
Low
Online surveys
Customer sentiment toward brand messaging and tone and reasons for abandonment
Low to medium
Customer interviews
Insights into customer motivations, needs, anxieties, and desires in their own words
Medium to high
User testing sessions
Usability issues, unexpected user behaviors, or areas where users struggle to complete tasks
High
But you don’t need to go all-in on every qualitative method right off the bat.
Start with the data you already have.
Then, gradually level up as time and resources allow.
Turn Your Research Into Actionable Insights
You’ve got the research.
Now, you need a system to organize it.
As Anna Bolton, chief CRO and conversion copywriter of Conversion Copy Co., says:
The challenge isn’t just gathering research—it’s making sense of it. Whether you’re analyzing heatmaps, surveys, or reviews, you need to turn that data into meaningful insights. This starts with proper analysis to identify key patterns and trends. And then you need to understand that data in context—what it means for your business, audience, and goals. That’s what turns raw data into results.
So, what do you do?
Build a research repository to bring all your insights together in one place.
Think of it as a living database of findings and insights. This way, it’s easier for you to act on data.
But you don’t need anything fancy.
Start with a simple spreadsheet.
Include everything from customer research (interviews, surveys) to conversion rate optimization (CRO) results and survey data.
For example, Anna and I use a spreadsheet like the one below for one-off client projects.
For larger-scale projects, use UX research tools like Aurelius Lab and Dovetail.
These tools offer more advanced ways to store, categorize, and retrieve insights.
Phase 2: Apply Ecommerce Website Optimization Fixes to Increase Conversions
The ecommerce website optimization best practices we’re about to cover are designed to do one thing:
Improve the customer experience.
And when you do that, conversions naturally follow.
Side note: If you’re here for SEO tips, stick around. While I’m focusing on conversion rate optimization, CRO and SEO are becoming increasingly intertwined. Anything you do to make your site better for humans will also make Google happy.
As Leigh McKenzie, head of SEO at Backlinko and owner of UnderFit, says:
“Conversion rate optimization is becoming more and more an SEO responsibility. Google heavily rewards websites that deliver a positive user experience. It’s no longer about just bringing traffic. It’s also about what happens when people get there.”
Begin with the pages that offer the quickest wins, such as product and checkout pages.
This is what Rishi Rawat, product page optimization specialist at Frictionless Commerce, does.
I work exclusively on bestselling product pages because they have the highest impact. My goal is to turn first-time visitors into buyers. Since these pages already drive a big share of the store’s revenue, I don’t spread optimization efforts thin. Instead, I improve the sales pitch and sharpen the product story. And then I make what’s already working even more persuasive.
So, how do you identify your site’s high-impact pages?
These are the pages that attract visitors in the decision and action stages. Such as product pages or the cart page.
But you might also include other pages based on user behavior.
For example, optimize the product and cart pages if your site has high cart abandonment.
This ensures the product page sets the right expectations.
So, when shoppers get to checkout, they feel confident in their choice.
But, if your goal is to boost mobile sales, optimize the mobile experience first.
Want to maximize paid ads conversions? Make product landing pages a priority.
3. Make Navigation and Search Intuitive
Shoppers don’t always leave because they dislike your products.
Sometimes, they leave because they can’t find what they’re looking for.
That’s why navigation plays a big role in ecommerce website optimization.
If your navigation makes users rethink their next step, you’re already losing them.
For example, imagine you’re searching for dog crates on pet company Chewy’s website.
You sort the results by price.
But now, the first products you see are lock latch replacements and crate pans—not dog crates.
That’s a bad user experience.
And it might cost them the sale.
The solution?
Always test filters before launch to ensure they work as expected.
And design navigation to adapt to various browsing behaviors.
Make backtracking easy with breadcrumbs and a “Recently Viewed” section.
Plus, use AI to suggest relevant filters, related categories, and top products.
Navigation also impacts SEO.
As Leigh put it,
Good navigation isn’t just about getting users to a page. It’s about keeping them engaged in the shopping process. Shoppers want to see product variations, compare options, and refine their choices easily. When they do, they stay longer. And that’s what Google values. It favors sites where users engage rather than bounce back to search results. That’s why you want to optimize for getting people deeper into the experience.
Forcing people to create an account is an unnecessary barrier. You can just auto-generate one for them. Let them check out first, and then send them a confirmation email with their details. And a ‘Set Your Password’ option later. That way, the process stays frictionless, and they still get an account without effort.
But consider this:
Your job doesn’t stop when someone adds an item to the cart.
This is your chance to remove any last-minute hesitation and get the sale.
Ridge Wallet, an accessories manufacturer, does this well.
It displays social proof at the top of the checkout page by highlighting its “100K+ 5-star reviews.”
It also includes trust boosters like a risk-free trial and fast shipping.
Outdoor gear company Patagonia highlights its “Ironclad Guarantee” on the checkout page.
This reassures buyers that buying is risk-free.
And it also strengthens Patagonia’s credibility.
Clothing company Everlane also understands the power of timing.
It reminds shoppers of first-time buyer discounts at checkout to encourage them to take advantage of savings.
CRM data (buying history, abandoned carts): Powers retargeting campaigns and perfectly timed offers
Predictive insights: Uses AI to analyze patterns and predict needs
9. A/B Test to Learn. Not Just to Win.
At the heart of ecommerce website optimization is A/B testing.
But here’s the thing:
Your goal isn’t just about finding a “winning variation.”
It’s to learn more about the psychology of your buyers.
As Jonny Longden, chief growth officer at Speero, puts it:
When you run a test, whether it wins or loses is in some ways irrelevant because you can learn something from it. Some of the most successful tests that you will run happen as a result of a test that lost. When you chase winners, you ignore that fact.
For example, if a trust badge increases conversions, the real takeaway isn’t just that the badge works.
It’s that customers need more reassurance before they give you their credit card.
This insight goes beyond checkout.
It suggests that trust signals should be reinforced earlier in the buying journey. On product pages, in the cart, and even in post-purchase messaging.
Why?
If hesitation exists at checkout, it likely started long before.
One more thing.
A/B testing only works if you have enough traffic to reach statistical significance.
Kurt says your test page should receive at least 10,000 visits per month.
This gives you meaningful insights in a reasonable timeframe.
But traffic alone isn’t enough.
What matters is whether you can reach statistical significance. This ensures your results aren’t just due to chance.
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