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When someone hires me to improve a Shopify store, they usually expect a redesign.
They want a new homepage. A new color palette. Better product photography. Sometimes they've already hired a designer before they ever hired someone to look at performance.
The funny part?
That's almost never where I start.
Most stores don't have a design problem. They have operational debt — years of quick fixes, apps layered on apps, temporary workarounds that quietly became permanent. Nobody set out to build it that way. It just accumulates while the team is busy running ads, launching products, and putting out fires. That's what we're really fixing, long before anyone touches a single pixel.
Redesigning a homepage on top of operational debt is like repainting a car with a bad transmission. It looks better in the driveway. It still won't get you to the highway.
I rarely recommend a redesign during an initial audit. Not because redesigns are bad — sometimes they're exactly right — but because they're rarely the highest-leverage move available, and an audit's job is to find the highest-leverage move.
So before I touch anything visual, I go looking for bottlenecks. Whenever I perform a Shopify audit, I'm looking for the two or three things quietly costing the most revenue — not the longest list of things that could theoretically be better. The list below is what I check first, in roughly the order I check it, on almost every store I work on — whether it's doing $1M a year or $50M. The specifics change from store to store. The priorities usually don't.
Every store is different, and I'll come back to that near the end. But after enough of these audits, the same handful of bottlenecks keep showing up. This is what that pattern looks like.
Site speed optimization gets treated like a vanity metric. Teams chase a PageSpeed score, hit 90-something, and move on. That's not the same thing as a store that feels fast to a real customer on a real phone with three bars of signal.
What I look for isn't the aggregate score. It's the specific moments where speed actually affects a buying decision: how long until the product image is visible on a collection page, how long the Add to Cart button takes to respond after being tapped, whether the cart drawer opens instantly or hangs for half a second.
That half-second matters more than people think. It's the difference between a customer who feels confident they clicked the right thing and one who taps it twice, unsure if it worked, and now has two of the same item in their cart — or worse, gives up.
One store I worked with had accumulated sixteen storefront apps over three years. Six of them weren't even being used anymore — features the team had tried, abandoned, and forgotten to remove. Pulling those scripts took mobile load time from just over 5 seconds to under 3, before we touched a single line of theme code. Almost always, when I find a slow store, the culprit isn't the theme. It's apps.
Quick wins here are usually an audit and removal of unused app scripts, compressing and lazy-loading images below the fold, and moving non-critical scripts to load after the page is interactive. The longer-term fix is rebuilding key templates — collection, product, cart — with performance treated as a requirement instead of something to worry about later.
This comes first because speed affects every single visitor, not a segment of them. If the page is slow, nothing else on this list gets a fair chance to work. Every major speed study on ecommerce says roughly the same thing: conversion rate drops as load time increases, and it drops fastest in the first few seconds. This is one of the few optimizations where the ceiling is basically "how much revenue are you currently losing to people who never saw the page load."
Ask most merchants how many collections they have, and they'll guess low. Then we count, and it's usually double what they said — half of them created for a single campaign in 2023 and never cleaned up.
Navigation is where a lot of stores quietly punish their best customers. Someone arrives ready to buy, opens the menu, and is met with fourteen categories, three of which overlap, none of which obviously contains what they're looking for. They didn't come to browse your org chart. They came to find a product.
What I look for: Whether the navigation reflects how customers actually think about the catalog, or how the merchant internally organizes inventory. Those are frequently not the same thing.
Common mistakes: Mega-menus with too many tiers. Collections that exist for internal reporting reasons but mean nothing to a shopper. No clear path from "I'm here" to "I found it" in fewer than three clicks.
Quick wins: Cut dead or redundant collections. Reorder the menu around actual sales data instead of alphabetical order or gut feeling.
Long-term improvements: Building collection pages with real filtering — price, size, use case, whatever actually matters for that catalog — instead of a wall of products in no particular order.
This one shows up in bounce rate and pages-per-session more than anywhere else. Customers who can't find what they want don't email you asking for help. They leave, and they leave quietly.
Product pages get more attention than most sections of a store, which is good, because they also get more traffic than most sections of a store — often the majority of it, especially from paid ads.
The mistake I see most is treating the product page like a spec sheet instead of a sales conversation. Good copy answers the questions a customer would ask if they were standing in front of you. Not "premium materials, expertly crafted." More like: what does this actually do for me, how is it different from the other option I'm considering, and what happens if I don't love it.
I look for whether the page answers objections before the customer has to go searching for the answer somewhere else — which is usually the moment they leave and don't come back. Generic, agency-written copy that could describe any product in the category is one of the most common failures here, along with missing size guides, studio-only photography with no lifestyle context, and reviews buried below the fold instead of near the buy button, where they're actually doing work.
Rewriting the first two sentences of a description is a surprisingly high-leverage quick win, because that's the part people actually read. Adding a size guide or fit note, if it's remotely relevant, and moving social proof higher on the page usually follow close behind. Longer term, the strongest product pages build in real education — comparison tables, FAQ sections pulled from actual support tickets, video where it earns its place instead of being added for its own sake.
Product page conversion rate is one of the most direct levers on revenue you have, because unlike traffic, you don't have to pay for more of it. You just have to stop losing the traffic you already earned.
Most stores I work with get 65-80% of their traffic from mobile and somehow still design and test primarily on desktop. Not out of neglect — it's just easier to build and review on a bigger screen. But it means the majority of visitors are experiencing a version of the store nobody on the team actually looks at very often.
I look for tap targets that are too small or too close together, forms that trigger the wrong keyboard (a numeric field pulling up a full keyboard, for instance), and sticky elements — headers, add-to-cart bars — that eat too much vertical space on a smaller screen. The common thread across almost every mobile problem I find is that the store was designed on desktop and "made responsive" afterward, instead of designed for mobile from the start.
Quick wins: Fix tap target sizing. Test the actual checkout flow on a real phone, not a resized browser window. Kill any popup that requires precision to dismiss.
Long-term improvements: Designing new templates mobile-first, then scaling up to desktop, rather than the reverse.
If mobile is the majority of your traffic and it's converting meaningfully worse than desktop, that gap is usually the single biggest opportunity in the store, because it's not a traffic problem. It's an experience problem, and those are fixable.
Cart abandonment gets talked about like it's one problem. It's really three or four different problems wearing the same trench coat: unexpected costs, a confusing process, security doubts, and simple indecision. Each one needs a different fix, which is why generic "reduce cart abandonment" advice rarely works — it's solving for the wrong one of the four.
What I look for is where in the funnel people actually drop off — cart, shipping info, payment — because the fix for each stage is different. I also look hard for surprise costs. Shipping fees that only appear at the very last step are one of the most reliable ways to lose a sale you'd already basically won.
Quick wins: Show shipping thresholds and estimated costs earlier — ideally on the product page or cart, not checkout. Add trust badges near the buy button, not just the footer. Turn on abandoned cart email flows if they aren't already running.
Long-term improvements: A cart drawer that actually functions as a decision-support tool — recommended add-ons, a progress bar toward free shipping, clear return policy messaging.
These are customers who already said yes once. Recovering them costs far less than acquiring a new one, which is why even a small reduction in abandonment moves revenue meaningfully. This is reclaiming money already spent, not spending more to make more.
Site search is one of the most underrated levers in ecommerce, mostly because merchants assume Shopify's default search is "good enough." It's functional. It's rarely good.
Here's the part that gets missed: people who use site search convert at a meaningfully higher rate than people who don't, because searching is a strong buying signal — they already know roughly what they want. If your search fails them, you've lost one of your highest-intent visitors on the store.
I replaced a default search setup with Algolia on one store and cleaned up the underlying product merchandising at the same time. Search conversion went from around 2% to just over 7% — not because the products changed, but because customers could finally find what they'd already decided to buy. If your search is broken, I honestly don't care how good your homepage looks. The homepage was never going to be the problem for that customer.
I check what happens when someone searches a misspelled term, a synonym, or a product by a name customers use that doesn't match the internal SKU naming. I also check whether search results can be merchandised — pinned, reordered, filtered — or whether it's just a raw, unranked list.
Quick wins: Set up synonym mapping for common misspellings and alternate product names. Add a "no results" fallback that surfaces best-sellers instead of a dead end.
Long-term improvements: A dedicated search app with predictive suggestions, visual results, and merchandising controls, if the catalog is large enough to justify it.
This is a smaller-effort fix with an outsized return, precisely because you're not creating new intent. You're just stopping yourself from wasting the intent that already walked in the door.
For any store selling something consumable, replaceable, or naturally recurring, this is usually where I find the most left on the table — not because subscriptions are hard to set up, but because they're often set up once and never touched again.
What I look for is whether the subscription offer is visible where the buying decision actually happens — the product page — instead of buried in an account settings page nobody visits until after they've already bought once. The most common failures I see are a discount too small to change anyone's mind, no flexibility to skip or swap (which drives cancellations more than price ever does), and no account portal that makes managing a subscription actually easy.
Quick wins: Surface the subscribe option clearly on the product page with the discount stated plainly. Add skip/swap/pause functionality if it isn't there already.
Long-term improvements: A real retention flow — win-back offers for people who cancel, loyalty perks for long-term subscribers, bundling logic that makes upgrading feel like a discovery instead of an upsell.
On one store, simply moving the subscribe option from a buried settings page onto the product page itself, with the discount stated plainly, took subscription attach rate from under 4% to nearly 12% within two months. This one changes the economics of every future order, not just the current one. Repeat customers are cheaper to keep than new customers are to acquire, and that gap matters more every year acquisition costs keep climbing.
Shopify's checkout is already good. That's not an excuse to leave it alone — it's a reason to focus your effort on the parts you actually control.
I look at the number of required fields, whether express payment options (Shop Pay, Apple Pay, PayPal) are enabled and prominent, and whether account creation is optional or a hard gate before purchase. Forcing an account before checkout is still one of the more common self-inflicted wounds I find, along with asking for information that isn't actually needed to complete the order.
Quick wins: Enable and prominently place express payment options. Make account creation optional, offered after purchase instead of required before it.
Long-term improvements: Custom checkout extensions, available on Shopify Plus, that tailor the flow to your specific customer base — loyalty point redemption at checkout, gift messaging, delivery date selection.
Checkout is the last mile. Every point of friction removed here converts a customer who already decided to buy — there's no more persuading left to do at this stage, just no more getting in the way.
This one isn't customer-facing, but it belongs on this list because it changes everything that comes after it.
I once had a team preparing for a full homepage redesign because conversion had slipped over the previous quarter. Twenty minutes inside GA4 showed the homepage wasn't the problem at all. Their mobile product page template had quietly broken after an app update, and nearly 30% of mobile visitors were never making it to the cart. They were about to spend five figures solving the wrong problem entirely, and the actual fix took an afternoon.
That's the story behind almost every store that skips this step. Not that the instinct to improve something is wrong — it's that without funnel visibility, that instinct gets pointed at whatever's most visible, instead of whatever's actually broken.
What I look for: Funnel visibility beyond Shopify's default analytics — where people actually drop off, not just aggregate conversion rate. Whether events are tracked consistently across GA4, Meta, and any other ad platform, so decisions aren't being made on incomplete or contradictory numbers.
Quick wins: Audit existing tracking for gaps and duplication. Set up basic funnel visualization — landing page to product page to cart to checkout to purchase.
Long-term improvements: A proper analytics stack with cohort analysis, customer lifetime value tracking, and attribution that isn't entirely dependent on last-click.
This is the optimization that makes every other item on this list more effective. It replaces guesswork with a map.
The sale isn't the finish line, but a lot of stores build like it is. Everything after "Order Confirmed" gets treated as an afterthought — a generic confirmation email, a tracking page that looks nothing like the brand, no clear path back to the store.
What a customer sees in the days between placing an order and it arriving is an enormous, mostly wasted opportunity to build trust and set up the next purchase. Unbranded transactional emails, no proactive communication about delays, and returns processes buried three pages deep in a help center are the most common ways stores waste that window — and that last one generates support tickets a self-serve flow could have avoided entirely.
Quick wins: Rebrand transactional emails so they actually look like they came from you. Add a clear, easy-to-find returns and exchanges process.
Long-term improvements: A branded order tracking page that includes product recommendations. Automated post-delivery flows requesting reviews or offering a next-purchase incentive at the moment satisfaction is highest.
It's inexpensive to fix and it compounds. Every improvement here pays out over the entire lifetime of the relationship, not just the current order — and it's where repeat purchase rate and review volume are quietly won or lost.
If you only have ten minutes today, check these five things:
If two or more of those made you hesitate, that's probably where I'd start.
Every store I've worked on has a running list somewhere — a spreadsheet, a Notion doc, a pile of sticky notes — of forty, fifty, sometimes a hundred things that could theoretically be improved. Almost none of them need all of it.
More traffic is almost never my first recommendation. Most stores don't need more features, either. They need fewer moving parts and a clearer sense of which of those parts is actually holding revenue back.
Every store is different. A subscription brand and a fashion retailer aren't chasing the same bottleneck, and I wouldn't hand them the same priority order. But after working on enough Shopify stores, you start to notice the same handful of bottlenecks appearing over and over. That's what this list represents — not a universal formula, but a strong starting point built from pattern recognition.
Fixing checkout friction on a store that's losing most of its traffic to a three-second load time doesn't move much. Rebuilding search on a store where the real problem is that shipping costs are a surprise at the last step doesn't move much either. The gains come from matching the fix to the actual bottleneck, not from working down a generic list top to bottom.
Anyone can hand you a list of a hundred things that could make your Shopify store better. The value isn't making the list. The value is knowing which three deserve your attention this quarter.
That's where meaningful growth usually starts.
I've yet to see a Shopify store that was "finished." Every store has room to improve — that part's never in question.
The difference between average operators and great ones isn't that they find more opportunities. It's that they know which opportunities actually matter, right now, for this store.
That's how I approach every audit.
Related reading: [Why Every Ecommerce Team Needs an Operating System], Product Launch Checklist, Shopify Search Optimization, Shopify Subscription Best Practices, Product Page Optimization Guide.
