How to increase Average Order Value on Shopify
A practical guide to raising Average Order Value on Shopify: where AOV is actually won, six tactics that work, and how to spot a real gain from a discount.

Johan Svartdal
Most Shopify stores are built around one number: conversion rate. It gets the split tests, the heatmaps and the redesigns. Average Order Value gets a line in a dashboard.
That is backwards for most stores, because the two numbers are not equally expensive to move. Raising conversion rate means persuading someone who was not going to buy. Raising Average Order Value means adding to the basket of someone who has already decided. The second is a far smaller ask, and it lands against costs you have already paid.
This guide covers what AOV actually is, where in a store it gets won, the tactics that reliably work, and — the part most articles skip — how to tell whether a lift was real or whether you simply handed out a discount.
What Average Order Value is, and how to calculate it
Average Order Value is total revenue divided by number of orders, over the same period.
Two details matter more than the formula:
- Use net revenue, not gross. Subtract discounts and returns first. Otherwise a month where you discounted heavily will read as a month where customers spent more.
- Segment by traffic source. Paid social, paid search, email and organic visitors almost never buy the same way. A blended AOV hides the fact that your most expensive traffic may be your cheapest basket.
Shopify reports AOV out of the box under Analytics, but the blended number there is a starting point, not an answer.
The arithmetic that makes AOV worth your time
Here is the case in one example. Say you sell at a 60 dollar AOV, convert 2 percent of visitors, and pay 30 dollars to acquire a customer. Your gross contribution per order, before cost of goods, is 30 dollars.
Now consider two projects, each a 20 percent improvement:
| Project | Result | Contribution per order |
|---|---|---|
| Conversion rate 2% → 2.4% | More orders, same basket | 30 dollars |
| AOV 60 → 72 dollars | Same orders, bigger basket | 42 dollars |
Both projects raise revenue. Only one raises the margin on every single order, because acquisition cost does not scale with basket size. The customer cost you 30 dollars whether they bought one item or three.
That is the whole argument: AOV is the only growth lever where the cost stays fixed while the return goes up.
Where AOV is actually won
There are four moments in a Shopify store where basket size changes. Each has a different constraint, and mixing them up is why most AOV efforts fail.
1. The product page — before the decision
The buyer is still deciding whether to buy at all. This is the right place for quantity tiers and bundle options, and the wrong place for anything that interrupts: pop-ups, countdown modals, forced upsell steps. Anything that adds a decision here costs you conversion rate.
2. The cart — after the decision, before payment
The buyer has decided. They are reviewing, not evaluating. This is the highest-value real estate in the store and the most commonly wasted: most carts are a receipt with a button.
An offer here works if it takes one tap and requires no thinking. Shipping protection, a warranty, a small complementary add-on. An offer here fails if it sends the buyer back into browsing.
3. Checkout — during payment
Shopify restricts what you can do here, and that restriction is a gift. Do not fight it.
4. Post-purchase — after payment, before the thank-you page
The customer has paid. Their card details are already captured, so an accepted offer is added to the order they just placed, with no second checkout. Declining costs you nothing, because the original order is already banked.
This is structurally the safest place in the entire funnel to make an offer, and it is the one most stores never use.
Six tactics that work
Quantity breaks and volume discounts
Give the same product a price ladder: one unit at full price, two at a small discount, three at a bigger one. The buyer who came for one is not being sold a different product — they are being shown a better deal on the one they already want.
This works because of how people read price. Shown alone, 24 dollars is just a number. Shown next to "3 for 60 — 20 dollars each", the single unit looks like the expensive option. You have not changed the product; you have changed what it is compared against.
We built Enthemed Bundles for exactly this: quantity ladders and bundle offers on the product page, with the tier maths handled for you.
Curated bundles and kits
Different from quantity breaks: here you combine different products into one purchase. A starter kit, a routine, a set. Bundles work best when the grouping does the thinking for the customer — "everything you need to start" beats "save 10 percent on these three items".
One-tick cart add-ons
The highest-yield offer in most stores is the smallest one: a single checkbox above the checkout button. Shipping protection, extended warranty, priority handling, gift wrap.
The mechanics matter more than the offer. It has to be one tap, visible without scrolling, and adjacent to the button the customer is already reaching for. That is what One Tick Upsell does — the offer sits directly above the checkout button, and accepting it never leaves the cart.
Post-purchase offers
Make an offer on Shopify's post-purchase page, after payment, before the thank-you page. The customer presses once and it joins the order they just paid for — no card re-entry, no second shipping fee, no new checkout to abandon.
Because the risk is zero on both sides, you can make a genuinely good offer here. Post Purchase Upsell handles this step.
A free shipping threshold set slightly above your AOV
If your AOV is 60 dollars, a free shipping threshold at 75 dollars gives a meaningful share of your customers a reason to add one more item. Set it at 50 and you are giving away shipping on orders that would have happened anyway. Set it at 150 and nobody moves.
The rule of thumb: 15 to 30 percent above current AOV. Recalculate it when AOV moves.
Relevant recommendations, not more recommendations
"You may also like" grids stuffed with bestsellers are noise. A recommendation only raises AOV when it is plausibly the next thing this specific buyer wants. That is a learning problem rather than a merchandising one, which is why we built AI Product Suggestion to learn from every accept and dismiss rather than following static rules.
How to tell a real lift from a discount
This is where most AOV programmes quietly lose money.
Every tactic above except the last two involves giving something away. A volume discount trades margin for units. A bundle trades margin for basket size. If you measure only AOV, both look like wins even when they destroy profit.
Track these four numbers together:
- AOV — is the basket bigger?
- Gross margin per order — after the discount, is there more money left?
- Take rate — what share of customers accepted the offer? A low take rate on a deep discount is the worst case: you gave away margin to the few people who would have bought anyway.
- Conversion rate — did the offer cost you buyers?
A tactic is working when margin per order goes up and conversion rate holds. AOV rising while margin per order falls is not a win. It is a sale you did not mean to run.
A sensible order to do this in
If you are starting from nothing, this is the sequence with the best return for the effort:
- Post-purchase offer. No conversion-rate risk at all, because the order is already paid.
- One-tick cart add-on. High take rate, no margin given away, one tap.
- Quantity breaks on your consumables and repeat-purchase products.
- Free shipping threshold, recalculated against your new AOV.
- Curated bundles for your best product combinations.
- Recommendations, once there is enough order history to learn from.
Do them one at a time and leave each running long enough to read. Stacking four changes in one week gives you a number you cannot attribute to anything.
The short version
AOV is the cheapest growth lever you have, because it works on customers you have already paid for. Win it after the buying decision rather than before it, measure margin rather than basket size, and change one thing at a time.
Frequently asked questions
What is a good Average Order Value on Shopify?
There is no universal benchmark, because AOV depends almost entirely on what you sell. A coffee brand and a furniture brand have nothing to compare. The only benchmark worth tracking is your own AOV over time, segmented by traffic source, because paid and organic visitors rarely buy the same way.
Does increasing AOV hurt conversion rate?
It can, if you interrupt the buyer. Offers placed before the purchase decision — pop-ups over the product page, interstitials on the way to checkout — trade conversion rate for AOV. Offers placed alongside or after the decision, such as quantity tiers on the product page or a post-purchase offer, generally do not.
How do I calculate Average Order Value?
Divide total revenue by the number of orders over the same period. Use net revenue after discounts and returns rather than gross revenue, otherwise a discount-heavy month will look like a strong one.
Is AOV more important than conversion rate?
Neither is more important, but AOV is usually cheaper to move. Conversion rate work means changing how people decide to buy at all. AOV work means changing what goes in the basket of people who have already decided — a much smaller ask, and one that compounds against a fixed cost per acquisition.

