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How to Increase Average Order Value on Shopify

Anurag Chandra9 min read

Your average order value went up four pounds last month. Nobody in the business can tell you why.

That is the normal state of this number. It moves for a dozen reasons at once, and most of them are not things you shipped. So before you go hunting for ways to increase average order value on Shopify, put the whole menu of levers on the table: what each costs to build, and how you will know afterwards whether it did anything.

Bundling is on that menu. It is one line, not the answer. Several levers above it take an afternoon and no app.

What is a good average order value, and why is the average misleading you?

There is no number to aim at. Any published category figure is a blend of stores with different products, margins and shipping costs, and tells you nothing about yours.

The bigger problem: the average is the product of two independent numbers and never tells you which one moved.

  • Items per order is a merchandising and journey outcome. Thresholds, cross-sells, bundles and cart design push it.
  • Average price per item is a pricing outcome. Price rises, mix shifts toward premium products, and whatever your ads point at push it.
  • One outlier order can move a monthly mean on its own. A single wholesale-sized order in a quiet month is not a trend.

Read three numbers instead of one: the median, the spread of order values in bands, and order count. If the mean rose while the median sat still, you had a big order, not a lift.

Which lever is cheapest to try before you build anything?

Price. It takes an afternoon, needs no app, and moves half the equation directly. Most merchants skip it because it feels risky, then spend three weeks building a bundle engine to recover the same money.

Work down this list before you install anything.

  1. Raise prices on products nobody cross-checks. Own-brand and made-to-order items first, never the item shoppers have open in three other tabs. Watch units sold for a fortnight before touching anything else.
  2. Fix the default sort on collection pages. Manual order that leads with your stronger-margin hero, rather than whatever the theme shipped.
  3. Sell the pack, not the unit. If a customer gets through three of something, make three the default variant and one the exception. That is a product change, not an app.
  4. Name the companion on the product page. One sentence saying what this is normally bought with, with a link, above the fold.
  5. Put a shipping progress line in the cart. Even before you commit to a threshold, it tells you whether shoppers read that area.

Every one of those is reversible in ten minutes. That matters more than the size of the effect, because a lever you can undo is one you can actually test.

How do you set a free shipping threshold that pays for itself?

A threshold turns a vague wish to save money into a specific task with a number on it. It fails when the number is out of reach, or when the delivery you give away costs more than the added item earns.

Set it against your median, not your average. The average is dragged upward by orders that were never the target.

  • Above the median, within one item of it. If your median order is £48 and a typical second item is £20, a £75 threshold is one decision. A £120 threshold is a shrug.
  • Check break-even before you publish it. The added margin has to cover the delivered shipping cost of the whole order, not just the increment.
  • Show the gap, not the policy. "£12 away from free delivery" beats a banner stating a rule, because it does the arithmetic for the shopper.
  • Never reveal the cost late. Extra costs at checkout are the most cited abandonment reason in Baymard's review of documented studies, at 40% Baymard cart abandonment research.

If your cart is where orders die rather than where they grow, fix that first. Cart abandonment has its own causes and no threshold touches them.

Do gift-with-purchase tiers beat handing over the same money as a discount?

Usually, and the reason is arithmetic rather than psychology. A discount leaves your margin at full retail value. A gift leaves it at cost.

  • A £20 discount costs you £20. Every penny.
  • A gift you retail at £20 costs what you paid for it, plus picking and weight. On own-brand margins that is a fraction of the discount, for an offer the shopper reads as the same size.
  • It protects your price list. Repeated discounting teaches people to wait for the next one. A rotating gift does not reset anyone's idea of what your products are worth.
  • It only works if the gift is wanted. Slow-moving stock picked because it is slow-moving reads as exactly that, and drags the offer down.

Two warnings. Gifts add weight, which breaks the shipping maths above. And a gift tier stacked on a shipping threshold gives one cart two competing goals, which normally performs worse than either alone.

Can post-purchase offers raise order value without touching conversion?

This is the one structural advantage on the list. An offer shown after payment cannot depress checkout completion, because checkout already completed. Every pre-purchase lever carries conversion risk. This one does not.

  • The order is banked. A declined offer leaves you exactly where you were.
  • No second payment step. The card is on file for that session, so accepting is a tap rather than another checkout.
  • It ships in the same parcel, so the added item carries almost no extra fulfilment cost.

The catch list is short and real.

  • Attention is at its lowest. People are done. One product, one price, one button, or nothing.
  • Returns behave differently. Impulse additions come back more often than considered ones, and a return can drag the original order into the conversation.
  • Support load. "Why are there two charges" is a predictable ticket. Say on the offer that it bills separately.

If you are not ready to install anything, the order status page and the confirmation email are free surfaces. Both convert worse because neither is one tap. Both tell you whether the offer has legs before you pay for the mechanism.

How much lift should you honestly expect from each lever?

Less than any app listing implies. There is no credible published figure for what a bundle or a threshold does to order value across stores. Any number presented that way is one merchant with one catalogue, and anyone quoting an average lift percentage is quoting marketing copy.

What you can plan around is effort, and which half of the equation each lever touches.

LeverEffortMovesMain risk
Price rise on non-compared itemsAn afternoonPrice per itemUnits fall further than price rose
Collection sort and merchandisingAn afternoonPrice per itemLittle worth naming
Pack sizes as the default variantA dayItems per orderShelf price optics
Free shipping thresholdA dayItems per orderShipping cost exceeds added margin
Cart cross-sellA few daysItems per orderDistraction at the decision point
Gift-with-purchase tiersA few daysItems per orderGift cost, weight, inventory drag
Product bundlesA week or moreBothDiscount depth eats the gain
Post-purchase offerA week or moreOrder totalReturns and support load

Read that as an order of operations, not a ranking of size. The cheap levers go first because they answer quickly, and their result gives you the baseline a slower build has to beat.

How do you separate a real lift from a seasonal or channel-mix one?

Most reported AOV wins are traffic changes wearing a costume. A week heavy on email traffic out-earns a week heavy on cold paid social, and nothing you built caused it. Test like this.

  1. Compare the same weeks last year, not last month. Month over month through Q4 measures Q4.
  2. Split by channel and campaign before looking at the total. An aggregate number is a weighted average of audiences that behave nothing alike.
  3. Hold your ad mix still for the window. Shifting spend mid-test changes the mix and the result at once, and you will never untangle them.
  4. Read the median and the bands, not the mean. If the £60 to £90 band grew and the median moved with it, that is a real behaviour change.
  5. Put order count beside order value. Both should hold or rise together.
  6. Give it four weeks. Order value is noisy and moves slowly at normal volumes.

Where does Edge Bundles fit in an AOV plan?

About where the table puts it. Bundling is a structural lever near the bottom of the effort list, worth building once the afternoon-sized changes have given you a stable baseline. Reach for it when your catalogue genuinely pairs and shoppers are still leaving with one item. Start with the product bundles guide rather than an app listing.

Edge Bundles is our own app and it is new, so there is no review history to point at. It has a free plan. If you want a bundle app with years of merchant feedback behind it, these are the honest alternatives.

AppRatingReviewsEntry pricing
Bundler4.92,537Free plan with no order or revenue limits; Premium $9.99/mo
Fast Bundle5.03,027Free for development stores; $19/mo up to $1,000 monthly bundle sales
Edge BundlesNo reviews yet0Free plan

Pricing and features checked on 22 August 2026. App Store listings change without notice, so verify on the listing before you commit to a plan.

If you are on a tight budget and want a free tier with no order ceiling, Bundler is the safer pick today. If your bundle revenue is small and you want pricing that scales with it, Fast Bundle's tiers are built that way. Pick on fit, then go back to the top of the list, because the price rise you have been putting off is still the cheapest thing on it.

Questions people ask next

What counts as a good average order value on Shopify?

There is no benchmark worth chasing. A store selling a monthly consumable and a store selling sofas are both healthy at wildly different numbers, and any published category average blends stores that have nothing to do with yours. The only honest comparison is your own trailing figure for the same weeks last year, split by sales channel.

Should I raise prices or build bundles first?

Prices, almost always. A price change takes an afternoon, needs no app, and moves half the equation directly. A bundle needs product selection, pricing decisions and inventory thinking before it earns a penny. Raise prices on products shoppers do not cross-check elsewhere, watch units sold for a fortnight, then spend build time on the structural levers.

Where should I set a free shipping threshold?

Above your median order value and within one item of it, so a shopper can close the gap with a single decision. Then check the maths, because if the added margin does not cover your delivered shipping cost the threshold loses money on every order it converts. Extra costs are the most cited checkout abandonment reason at 40%.

Source
Does a higher average order value always mean more profit?

No. Discount-led levers lift the number while shrinking what you keep, and heavier baskets cost more to ship. The figure also rises when small orders simply stop happening, which is a conversion problem wearing a merchandising costume. Always read order count beside order value. If count fell while value rose, something broke.

How long before I judge whether a lever worked?

Four weeks minimum, and longer if your traffic is seasonal or campaign driven. A fortnight will happily show you a lift that one large order created. Compare inside each channel rather than in aggregate, hold your ad mix still for the window, and read the median alongside the mean so outliers cannot fake a result.

Anurag Chandra

Founder, Edgecoms

Anurag runs Edgecoms, a studio of Shopify apps. He spends most of his week inside merchant stores working out why a number is lower than it should be.

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