The Order To Work In When You Want More Ecommerce Sales

You already know how to increase ecommerce sales in theory. Your traffic's fine. Your product's fine.

Revenue's been flat for two quarters, and the list of things you could do about it runs longer than the quarter you've got to do them in. Knowing the options and choosing between them are different problems.

The second one is where I spend my working life.

I am John Butterworth and I run Mint SEO, a specialist Shopify and ecommerce SEO agency in Manchester. Most of my week goes on stores in that exact position, and the pattern rarely changes.

An owner doesn't need more tactics. They need to know which one to start on Monday.

This article closes that by ordering the work. Everything below runs by how fast each change pays back: six changes in the first group go live in days, and three more take a sprint.

A final group takes a quarter, and I will say plainly why it still earns a place so far down the order.

At the end there is one reading of your own numbers that tells you which group deserves that quarter. Two situations overturn the order completely, and both depend on your own store.

One thing is worth saying first. Every honest answer to how to increase ecommerce sales moves the same three numbers: how many people arrive, how many of them buy, and how much they spend when they do.

Ecommerce sales are those three multiplied together. Order matters because they do not cost the same to move.

Here is the order. The rest of the article takes each one in turn and says what it is worth.

• 1. Show the full delivered cost before the cart.
• 2. Turn off forced account creation.
• 3. Put the delivery date on the product page.
• 4. Send the recovery email inside the hour.
• 5. Set the free shipping threshold from your margin.
• 6. Run that threshold as a progress bar.
• 7. Cut the checkout to one mobile column.
• 8. Build the flows before you send another campaign.
• 9. Collect the first ten reviews on every bestseller.
• 10. Fix the product data before the content.
• 11. Publish what only you could publish.

Changes 1 to 6 go live in days, 7 to 9 need a sprint, and 10 and 11 are quarter-length work. One reading of your own numbers, set out near the end, decides how far down that list this quarter should take you.

What You Can Change This Week

Everything in this group recovers demand you have already paid for. Someone found you, chose the product and got as far as wanting it. Then something you control got in the way.

The scale is worth stating once, because it decides how much of your quarter this group deserves. Checkout research body Baymard Institute puts the average documented cart abandonment rate at 70.22%, drawn from 50 separate studies.

Baymard estimates a 35.26% average conversion-rate uplift is achievable from checkout design alone, in that same research. These six changes draw on that pool, and all of it already sits inside your store.

Show The Full Delivered Cost Before The Cart

Your shopper priced the product once, on the product page, and every later number is measured against that first one. In Baymard's reasons data, 40% of shoppers abandon because extra costs such as shipping, tax and fees pushed the total higher than expected, which outweighs forced account creation at 18% and a checkout that is too long or complicated at 17% put together.

Price is not really the mechanism, though. A shopper who priced the product on the product page, then meets a different total at payment, has been handed a reason to reopen a decision they had already closed.

Reopening it loses the sale. Put the delivered total where the decision gets made.

Show shipping on the product page for the customer's own region, then again in the cart. By checkout they have accepted the number twice.

Turn Off Forced Account Creation

Mandatory account creation drives 18% of abandonments in that same Baymard research. You fix it in a settings screen, which puts it at the cheap end of this list. Ask what the account gives your shopper at the moment you demand it. Nothing yet.

It reads as a toll on a purchase they'd already decided to make, charged by a brand they've never bought from.

Switch guest checkout on and move the account offer to the confirmation page, where order tracking gives it a point. You still collect the email either way.

Shopify's Spring 2026 Edition opened Shop Pay to brands not hosted on Shopify, putting 250 million buyer accounts with saved cards one tap away.

Put The Delivery Date On The Product Page

Cost is not the only surprise that lands too late. 20% of shoppers abandon because delivery was too slow, on that same Baymard research, and the objection turns up at checkout after five minutes of basket-building.

Delivery speed is part of what your customer is buying.

Withhold it until payment and a product decision becomes a checkout objection, at the most expensive possible moment. The practical version takes one line of template work. Show the date beside the price.

If fulfilment's genuinely slow, say so early and lose the sale cheaply, or go and fix fulfilment.

Hiding it's never made a parcel turn up sooner.

Send The Recovery Email Inside The Hour

Timing is the variable in a recovery email. A basket is abandoned mid-decision. Reach your shopper while it is still open and you are finishing a purchase; reach them next morning and you are advertising to someone who has moved on.

Across 1,000 brands studied by Rejoiner, 40% send their first abandonment email within an hour, and the same analysis finds that sending at 30 minutes usually nets the best conversion rates. Set the first message to fire inside that window before you write a second or a third.

In the stores I audit, a three-email sequence whose first send sits at twenty-four hours is the usual arrangement.

That whole sequence turns up after the thing it was built to interrupt has finished happening. For the wider picture on where a store loses the sale, the cart is only one of the places it goes.

Set The Free Shipping Threshold From Your Margin

Average order value is the second lever, and the free shipping threshold is the cheapest way into it.

The US average free shipping threshold now sits at $64, up around 23% since 2019, on 2026 threshold data. Carrier costs are what moved it, they are still moving, and a threshold set once and forgotten is now quietly eating the margin it was built to protect.

Deloitte's retail survey, reported alongside those benchmarks, found 67% of executives planning to raise theirs this year to defend margins against carrier increases.

Don't copy the average, though, because a threshold only changes behaviour when one more wanted item closes the shortfall to it.

Work it from contribution margin. 58% of consumers add extra items specifically to reach a free shipping threshold, on that same analysis, which sets the premium over your current AOV between 10% and 50% depending on gross margin.

Then check your arithmetic at the new basket size. A threshold that lifts order value while handing back more in shipping than it earns is a discount you have disguised from yourself.

Run The Threshold As A Progress Bar

Any threshold your shopper has to remember does nothing. Naming the exact remaining amount gives the shopper a task they can close.

Vendor data suggests dynamic progress bars outperform static threshold messaging by a meaningful margin, though the 2026 playbook is careful to call the specific lift figures vendor-stated and unverified. Treat the direction as reliable and the size of it as unproven.

Show the running shortfall in the cart and the mini-cart.

A bar counting down what is left to spend does work that a banner stating the threshold does not.

What You Can Change This Month

This group needs a sprint. Each item keeps paying after the work stops, which is what earns it the wait.

Cut The Checkout To One Mobile Column

Mobile carts abandon at a markedly higher rate than desktop: 76.6% on smartphone versus 65.7% on desktop, per a 2026 abandonment compilation. Nothing about the product changes between those two numbers, only the screen it is being bought on and the layout that screen receives.

That gap of roughly eleven points is the largest device-level difference in ecommerce, and mobile is where most of your traffic already is.

Shopify's Spring 2026 Edition shipped more than 150 platform changes, including a higher-converting redesigned checkout whose layout is tighter and whose pay button is larger. On Shopify, most of the single-column job is therefore already built, and switching it on is the whole task.

Part of this job has been done for you, for nothing, and most merchants I speak to have not adopted it. Collapse whatever is left into a single column: one field per row, no side-by-side inputs, and the pay button inside the thumb's reach.

Layout is only half of it, because speed fails the same shopper on the same device. Google and Deloitte's joint study, published as Milliseconds Make Millions, found every 0.1 seconds of load-time improvement increased retail conversions by 8%, a figure repeated across documented performance case studies.

Both halves of this job fail the same way, which is being judged on the wrong hardware. Test the result on a real phone on mobile data, never on your desk.

Build The Flows Before You Send Another Campaign

Email marketing is the highest-converting channel most stores own. Nearly all of that value sits in a handful of triggered messages, and the split against the newsletter is stark.

That split is worth seeing in numbers. Email flows generate close to 41% of total email revenue from just 5.3% of sends, on Klaviyo's 2026 benchmarks, which is a return on effort no campaign calendar matches.

Campaigns account for 94.7% of send volume in that same report, while flows deliver revenue per recipient nearly 18 times higher. Almost all the sending effort is going to the half that returns least.

Click rates run the same way in that research: 5.58% against 1.69%, with flows at thirteen times the placed-order rate. The gap is not a rounding difference.

Triggered messages go out because your customer just did something. That makes it relevant by construction, which no scheduled broadcast can claim.

Build the welcome, the abandoned cart and the post-purchase flows first. Campaigns can wait their turn.

Collect The First Ten Reviews On Every Bestseller

Reviews are the cheapest trust signal a product page can carry.

Customer reviews drive 74% higher conversion rates on ecommerce sites, on compiled user-generated-content research. That is a page-level effect, so it lands hardest on the products already getting traffic.

Product pages with nothing on them ask your shopper to be the first person to trust you. Ten real reviews remove that objection, and the tenth does far less work than the first.

That shape tells you where to stop. Run a post-purchase request against your bestsellers first, where the traffic already is, rather than spreading the ask across the whole catalogue.

What Takes A Quarter Or More

Organic search has the highest ceiling of anything in this article and the slowest, least controllable payback. Both halves of that sentence explain why it sits in the third group, and why it belongs in the article at all.

Fix The Product Data Before The Content

Structured data is now load-bearing for ecommerce visibility. According to one May 2026 ecommerce guide, the May 2026 core update, the AI Mode expansion and Universal Cart all rely heavily on structured markup to understand products, pricing, availability and business identity.

Surfaces that now sit between a shopper and your store read your markup, and your prose comes second. Stores with poor product data stay invisible, whatever they publish.

Shopify says product data syndicated through its new catalogue, which standardises and enriches listings so AI shopping agents can read them, drives twice the conversions of non-optimised listings.

Get the markup right before you commission a single article, because it gates everything after it.

Publish What Only You Could Publish

Provenance was the variable that decided 2026. Reviewing the March core update, ALM Corp put recognised brands and direct destinations among the winners, alongside specialist publishers and pages carrying original information.

Aggregators without real differentiation lost ground, as did thin affiliate pages and reference pages that had gone stale. Official and institutional sources gained in the same analysis.

Material a competitor cannot reproduce is what survives an update built to demote generated filler.

You already own some of it. Your customers' reviews are proprietary content nobody can copy, and so is anything you have measured about your own range. Both beat a content calendar as a starting point.

Expect A Longer Payback Than You Used To

Ranking well no longer means receiving traffic. Organic ecommerce traffic fell steeply through the first half of the year, on a June 2026 analysis, as AI Overviews answer product and how-to queries directly in the results and suppress clicks through to brand sites.

AI Overviews now appear on 14% of shopping queries in that same research, up 5.6x from late 2024.

That same analysis argues that overviews compress demand at the results page and reward a smaller set of authoritative pages, which is a change in who gets the click rather than in how many clicks exist.

Being in that smaller set beats giving up on search. Volatility is the other half of the story.

Twice in a single trading quarter this year, Google re-sorted the results underneath everybody. The March core update ran from 27 March to 8 April and produced substantially higher volatility than the December 2025 update, concentrated where visibility matters most.

Volatility on that scale is what you plan around. Any channel that re-sorts itself twice a quarter cannot be budgeted like a checkout change, and Google announces each update openly rather than leaving you to infer it.

None of that makes organic search a bad investment. It makes it a slower one, budgeted in quarters. Sequencing is the whole argument here.

How To Tell Which Of These You Need

Everything above is worth doing. Which group deserves your next quarter decides how to increase ecommerce sales for you specifically, and one reading of your own numbers settles it.

That reading is also the thing the rest of the field leaves out. On 5 August 2026 I fetched all 17 reachable pages ranking for "how to increase ecommerce sales", 8 from the top of the results and 9 from deeper down, and read each one for whether it gives you any basis for choosing what to do first.

Of the 17 pages we could fetch that rank for this keyword, 4 give any article-level rule for deciding what to do first, and only 1 of the 8 top-ranked pages does. Exactly 1 of the 17 changes its advice based on where the traffic came from.

Across the same 17 pages the tactic counts run from 5 to 40, with a median of 12 named tactics per article. The field is long on things to try and short on any way to choose between them, which is what the order above is meant to fix.

Split Your Conversion Rate By Channel

Stop looking at your blended conversion rate. It averages every traffic source into one number that behaves like none of them, and it rarely resembles the figure an owner quotes me on a call.

That split is the whole diagnostic, and a merchant on r/ecommerce put the point better than any analyst has.

Writing in r/ecommerce in June 2026, u/alloverated described one store running two conversion rates at once: "My website converts well, 1-3%, via traffic from curated channels: membership/loyalty programmes and a couple of niche marketplaces. Cold traffic from paid social/video ads is basically flat, barely converting at all."

Same store and same checkout. Their ads were performing on every metric an ad platform reports, and nothing on the store side explains the difference.

One store, two answers, and a single blended figure would have averaged them into a third describing neither. Channel benchmarks bear that out: Ruler Analytics puts paid search at 5.4% against 2.11% for paid social, so your mix sets your blended number before your checkout gets a say.

Until you split it you cannot say whether the constraint is your store or the traffic arriving at it. Nothing else is worth settling before you commit a quarter.

Split it. If your paid social converts at half your email rate, the store is not the whole problem for those visitors, and checkout work alone will not close it.

Benchmarks are worth even less unadjusted: Littledata puts the Shopify-wide blended rate at 1.4%, a figure that moves with order value, industry and device mix before it says anything about you.

Treat it as a diagnostic input, never a target. Where the split is not available to you yet, set conversion tracking up properly first.

It is also worth knowing which ecommerce metrics are worth reporting before you build any dashboard.

When Your Category Changes The Answer

Two readings overturn the order above, and both depend on your own numbers.

Start with how often your category repeats, because it decides whether this step is worth anything to you at all. Fashion retains around 24.4% of customers and fast fashion 31%, on 2026 retention benchmarks.

Luxury fashion retains just 9.9%, and the same research finds brands losing an average of $29 per newly acquired customer before repeat purchases are counted. Buy a customer once in that market and you are behind from the first order.

Average ecommerce retention sits around 30% while top performers reach 62%, on those same 2026 benchmarks.

Repeat buyers drive that difference: they deliver 65% of company revenue and spend 67% more than new ones in that same research.

That spread between average and best is the widest of any lever in this article.

Retention programmes can only harvest repeat demand your category generates. Sell one-off high-ticket items and the email work in group two is worth a fraction of what a repeat-purchase brand gets from it.

Where the category repeats poorly, the second reading matters more.

That second reading is about your paid traffic. If it already converts close to your search and email rates, you are not losing what this order assumes. In that case the traffic group deserves the quarter instead.

You've finished with a group when its named changes are live and the number that group moves has stopped responding. Not when it feels complete. Each group targets one number, so that number flattening is your signal to move on.

Where Mint SEO Fits In Your Quarter

Every audit I run opens with that channel reading, and almost no store's done it for itself. No article can read your channel split for you, and that's the one input deciding how to increase ecommerce sales at your store.

Most of what an audit is worth sits in the ordering decision, and very little of it in the list of findings.

Order the quarter correctly and it compounds; order it badly and it stalls. Running the retainer projects personally means I make that call on every client store, using the same sequence set out above.

Our biggest recorded lift in the client work we publish is a 9,392% increase in organic traffic for a homeware client, and it came from fixing the foundation before anyone wrote a word of content.

If you want your own order checked against your own numbers, book a free 30-minute call with me. You get a look at your current rankings, your biggest quick wins and a rough ninety-day direction. No jargon, no sales rep.

How To Increase Ecommerce Sales: FAQs

How do I increase ecommerce sales without spending more on ads?

The cheapest way to work out how to increase ecommerce sales without ad spend is the first group, because every change in it recovers demand you already bought.

Showing the delivered cost earlier and switching on guest checkout are the two that most often move the number inside a fortnight.

Why do I have traffic but no orders?

Usually because the traffic and the store are being judged as one thing. Split conversion by channel first, against the channel benchmarks above.

Converting well from email and poorly from paid social is a channel problem. Those get fixed in completely different places.

What is a good ecommerce conversion rate?

Blended figures are the wrong unit to answer this in. As shown above, paid search runs at more than twice the rate of paid social.

A store with a heavy social mix and a store living off email can report the same blended number while having nothing in common.

Work out the rate for your two largest channels and compare each against its own kind. That comparison tells you something; the single-figure benchmark does not.

Which change should I make first?

Show the full delivered cost before the cart. Unexpected extra costs are the largest stated reason shoppers abandon. The fix is a settings change, and it works whatever your channel split turns out to say.