- Across 228 Shopify stores, the median free shipping threshold sits at 80% of the store's average order value. That is the most common setup, not the best-performing one.
- Median checkout conversion rate peaks among stores whose threshold falls at 50–70% of AOV (78.1%) and bottoms out among stores whose threshold exceeds their AOV (72.8%). Nearly 3 in 10 stores are in that second group.
- At the median store, only 51.5% of orders actually qualify for free shipping.
- 1 in 6 orders that miss the threshold miss it by less than 15%. Those shoppers convert at 75.6% versus 82.4% for shoppers who qualify.
- Of ~60 clean free shipping threshold A/B tests we've run since March 2024, only about 1 in 4 produced a statistically significant revenue lift. Among those winners, the median gain was +4.5% revenue per checkout.
What is a free shipping threshold?
A free shipping threshold is the minimum order value a shopper must reach to get free shipping. It works as a spending target: shoppers below it either pay for shipping, add items to qualify, or leave. The right number is the one that raises revenue per checkout for your specific cart distribution, not a universal dollar figure.
What this analysis draws on: 228 Shopify and Shopify Plus stores with an active free shipping threshold, 7.5M checkout sessions, and 5.78M US orders over the 60 days ending July 27, 2026, plus ~60 A/B tests run between March 2024 and July 2026. Cuts with fewer than 10 stores are labelled directional. Full methodology and limitations below.
Throughout, ARPC means average revenue per checkout: product plus shipping revenue divided by all checkout sessions, including the ones that abandoned. It's the one metric that captures conversion, order value, and shipping revenue together, which is why we judge threshold changes on it rather than on AOV.
Where merchants actually set their threshold
Across the 228 stores, the threshold clusters tightly as a share of AOV.
Half of all stores set their threshold between 61% and 102% of their average order value. The tail matters: roughly 29% of stores set a threshold above 100% of AOV, meaning the average customer cannot qualify without adding to their cart.
The threshold band that converts best is lower than most merchants think
Here is what happens when you group stores by where their threshold falls relative to their own AOV.
Median checkout conversion peaks at 78.1% among stores whose threshold sits at 50–70% of AOV, and falls to 72.8% among the 67 stores whose threshold exceeds their AOV. Vertical axis starts at 68% to make the 5.3-point spread legible.
The finding: median checkout conversion peaks at 78.1% in the 50–70% band and falls to 72.8% once the threshold exceeds AOV. That is a 5.3 percentage point spread between the best and worst bands, and both ends of the comparison rest on large samples (42 and 67 stores, 1.5M and 2.6M checkouts).
The caveat you should hold onto: this is a cross-sectional correlation, not a causal result. Low-AOV stores mechanically end up in the high-percentage bands, because a $75 threshold is 100% of a $75 AOV and 50% of a $150 one. The over-100% band has a median AOV of $76.60 versus $146.37 in the 50–70% band. Some of the conversion gap reflects the kind of store, not the threshold itself.
What the data supports is narrower and still useful: thresholds set above a store's own AOV are associated with the weakest conversion in the dataset, and they are the single most common configuration.
Only half of orders qualify at the median store
This is the number we'd look at first if we were auditing your checkout.
Grouping stores by qualification rate shows a clearer pattern than the AOV-ratio cut does.
Median revenue per checkout peaks at $116.21 among stores where 60–80% of orders qualify for free shipping, then falls to $93.42 once more than 80% qualify. The median store sits at 51.5%.
Stores where 60–80% of orders qualify post the highest median ARPC in the dataset at $116.21, and the highest median conversion rate at 77.7%. Stores where under 40% of orders qualify sit roughly 6 percentage points lower on conversion.
Composition explains part of this: the 60–80% band skews toward higher-AOV stores ($156 median). But the pattern survives a like-for-like check. Compare the 20–40% and 40–60% bands, which have similar median AOVs ($89.72 and $97.28): conversion is 71.4% against 76.9%. The higher-qualification band converts better at comparable cart value. A threshold most of your buyers can reach is associated with better checkout economics than one most of them can't.
Worth noting the curve isn't monotonic. The over-80% band ($93.42 ARPC, 76.2% CVR) underperforms the 60–80% band despite more customers qualifying — consistent with the idea that a threshold everyone clears has stopped doing any work.
The near-miss zone: 1 in 6 non-qualifying orders is within 15%
Across 5.78M orders, 43.1% landed below the free shipping threshold. We looked at where those orders sat relative to the cutoff.
Shoppers who qualify for free shipping convert at 82.4%. Shoppers who miss by less than 15% convert at 75.6% — a 6.8 point gap. 134,878 checkouts were abandoned in 60 days with a cart within 15% of qualifying.
Three numbers worth pulling out:
- 418,627 orders in 60 days landed within 15% of qualifying. That is 7.2% of all orders and 16.8% of every order that didn't qualify.
- Shoppers in that near-miss band convert at 75.6% against 82.4% for shoppers who qualify — a 6.8 percentage point gap at the boundary.
- 134,878 checkouts were abandoned in 60 days with a cart within 15% of qualifying, or 7.7% of all abandoned checkouts.
That last figure is the practical target. These are shoppers who reached checkout, were close enough to the threshold to be persuadable, and left anyway. Whether you close that gap by lowering the threshold, showing progress toward it, or surfacing a small itemhat bridges it is a testing question. The size of the pool is not.
We can't claim that lowering your threshold by 15% would recover that 6.8 point gap. Part of it is intent: smaller carts come from less committed shoppers. But the volume and the size of the gap make it the most defensible place to start.
Apparel dominates the dataset at 72 of 228 stores, and its $100 threshold on a $152 AOV sits close to the cross-vertical median.
Two verticals stand out. Cosmetics runs the lowest dollar threshold in the set at $50, roughly 70% of a $69 AOV, and still posts 77.9% conversion — near-identical to apparel at less than half the cart value. Health, Wellness & Fitness is the only vertical with 10 or more stores whose median threshold exceeds its own AOV, at 101.2%, and it posts the lowest conversion rate of that group at 74.4%, just below Food & Beverages at 74.6%.
What our A/B tests actually show
This is where we'd push back on most content about free shipping thresholds, including our own earlier version of this post.
We've run roughly 60 clean free shipping threshold experiments across 35 merchants since March 2024. Results:
The two measurement scopes disagree slightly and that gap is informative. Checkout-level tests only observe shoppers who already reached shipping selection, so they miss the basket-stretch behavior that happens earlier in the session. Cross-site tests capture the full effect and show a marginally negative median. Neither scope shows the reliable multi-point lift the category tends to promise.
Three honest conclusions:
Most threshold tests don't produce a clear winner. Roughly three in four came back inconclusive or flat. If you're expecting a guaranteed double-digit lift from moving your threshold, the data doesn't support it.
Neither raising nor lowering reliably wins. The dominant pattern is offset: raising the threshold lifts AOV and drags conversion; lowering it lifts conversion and drags AOV. Revenue per checkout often lands roughly where it started. This is exactly why ARPC is the metric to judge on — order count and AOV each tell you half the story.
Introducing a threshold where none existed is the highest-variance change. It produced our largest wins and some of our clearest losses. If you don't have a threshold today, that is the test worth running first.
Underpowered tests are part of the picture. Detecting a 1–5% ARPC effect at the user level typically needs 500K+ users for 80% power, and many of our tests ran below that. "Inconclusive" often means "not measurable at this volume," not "no effect."
How to set your free shipping threshold
- Pull your cart distribution, not just your AOV. Look at where order values actually cluster over the last 60–90 days, plus your median order value. AOV alone hides a bimodal distribution.
- Check your qualification rate. What share of orders currently clear your threshold? The median store sits at 51.5%. Stores in the 60–80% band show the strongest checkout economics in our data.
- Measure your near-miss volume. Count orders and abandoned checkouts landing at 85–100% of your threshold. Across our dataset that is 16.8% of non-qualifying orders and 7.7% of all abandons. If yours runs materially higher, your threshold is likely too high for your cart mix.
- Sanity-check against your own AOV. If your threshold exceeds 100% of your AOV, you're in the band with the weakest median conversion in our data. That's worth testing your way out of.
- Test nearby cutoffs, not distant ones. Our winning tests moved the threshold in increments, not leaps. Model a starting range with the free shipping threshold calculator, then test the points around it.
- Judge on revenue per checkout. Conversion rate and AOV will usually move in opposite directions. ARPC is the metric that tells you whether the change made you money.
- Give the test enough runway. Effects in the 1–5% range need real volume. Ending a test at two weeks because it "looks flat" is how most threshold learnings get lost.
A worked example
An apparel brand with a $152 AOV — the vertical median — currently runs a $175 threshold.
- Threshold as a share of AOV: 115%. That places it in the over-100% band, which posts the lowest median conversion in our dataset at 72.8%.
- Likely qualification rate: under 40% of orders. That band's median ARPC is $69.01 against $116.21 for the 60–80% band.
- Vertical benchmark: apparel's median threshold is $100, at 81% of AOV.
The move isn't to jump straight to $100. It's to test $175 against something in the $130–$150 range, watch ARPC rather than order count, and check whether near-miss abandons fall. If they do, test lower again.
What changed in this update {#what-changed}
This post was first published against a smaller sample. The July 2026 analysis covers 228 stores, 7.5M sessions, and roughly 60 A/B tests. Four figures moved enough to flag, so we're flagging them rather than swapping the numbers out quietly — if you set your threshold using the earlier version, this is the part to read.
One definitional note: ARPC means average revenue per checkout throughout this version.
Frequently asked questions
What is a good free shipping threshold?
There is no universal dollar amount. Across 228 PDQ merchant stores the median threshold sits at 80% of the store's AOV, but median checkout conversion is highest among stores in the 50–70% band. The more useful target is qualification rate: stores where 60–80% of orders clear the threshold show the strongest revenue per checkout in our data.
What percentage of AOV should my free shipping threshold be?
Most merchants land between 61% and 102% of AOV. If yours exceeds 100% of your AOV, you're in the band with the lowest median conversion rate in our dataset (72.8% against 78.1% for the 50–70% band), and roughly 29% of stores are in that position.
How many customers should qualify for free shipping?
At the median store, 51.5% of orders qualify. Stores where 60–80% of orders qualify post the highest median revenue per checkout ($116.21) and the highest median conversion rate (77.7%) in our data.
Does raising a free shipping threshold increase AOV?
Usually yes, and it usually costs conversion at the same time. Across our A/B tests the two effects tend to offset, leaving revenue per checkout close to flat. That's why revenue per checkout, not AOV, is the metric to judge a threshold change on.
How long should I run a free shipping threshold A/B test?
Longer than feels necessary. Threshold effects typically fall in the 1–5% range on revenue per checkout, and detecting that at the user level generally needs 500K+ users for 80% power. Many of our own tests returned "inconclusive" because they were underpowered rather than because nothing happened.
How do I know if my free shipping threshold is too high?
Two signals. First, compare it to your AOV — above 100% puts you in the weakest-converting band we measured. Second, count the orders and abandoned checkouts landing at 85–100% of your threshold. Across our dataset that near-miss zone accounts for 16.8% of non-qualifying orders and 7.7% of all abandoned checkouts. Materially more than that suggests your cutoff is out of step with your cart mix.
Should every customer see the same free shipping threshold?
Not necessarily. First-time buyers, returning customers, and carts with different margin profiles can respond to different cutoffs. Segment-level testing can find where a different threshold improves checkout performance.
Methodology and limitations {#methodology}
We'd rather you trust the numbers than be impressed by them, so here's what this analysis can't tell you.
The sample is PDQ merchants, not Shopify at large. Every store here already runs checkout optimization software, which means they skew toward brands that take checkout seriously and have the volume to justify the spend. Absolute conversion rates in this dataset will run higher than a random Shopify sample. Treat the relationships between threshold placement and performance as the finding, and the absolute levels as benchmarks among optimized stores rather than industry averages.
It's observational. The store-level cuts are cross-sectional correlations. We can show that stores whose thresholds exceed their AOV convert worse; we can't show that the threshold caused it.
Composition biases the bands. Low-AOV stores mechanically cluster in the high-percentage bands. Higher-AOV stores cluster in the high-qualification bands. Some of the ARPC differences between bands reflect the type of merchant rather than the threshold decision.
The near-miss gap isn't fully addressable. Smaller carts come from lower-intent shoppers. The 6.8 point conversion gap at the threshold boundary is partly intent, not purely friction.
US domestic only. International cart behavior and shipping economics differ.
Sixty days. The store-level window is a rolling 60 days ending July 27, 2026, so seasonal effects aren't averaged out. The A/B test analysis spans March 2024 to July 2026.
This analysis draws on PDQ's checkout dataset. For the full cross-merchant picture, see our Shopify Checkout Benchmarks covering 500+ merchants and 130M checkout sessions.
Roni Gertel Birger is Head of Growth at PrettyDamnQuick, where she leads go-to-market and product strategy for the checkout optimization platform behind 1B+ Shopify checkouts. She works with the dataset behind this analysis daily.
An earlier version of this post was written by Madeline Stone, formerly Editorial Lead at PrettyDamnQuick and a longtime e-commerce reporter at Business Insider. This version was rewritten in July 2026 against a larger dataset, and several of its conclusions differ from that original — see what changed above.
Want your own numbers? PDQ's Revenue Recvery Audit benchmarks your checkout against your industry and shows where your threshold sits relative to your cart distribution. Delivered in 3 business days.
Related reading: Free Shipping Threshold Calculator & Testing · Checkout Upsells · Checkout Abandonment · 12 Common Checkout Issues
We built Checkout Index to analyze your checkout and identify revenue leaks in seconds. Enter your brand URL and see how your checkout flow performs compared to industry benchmarks. Then get a personalized action plan so you can recover lost revenue. Try it out at CheckoutIndex.com.
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