The free-shipping threshold is one of the most powerful — and most guessed-at — numbers in D2C. CustomFit tests thresholds, express upgrades, and shipping copy on live traffic, measures each on revenue and margin per visitor, and lets you set a different threshold per cohort.
Test free-shipping cutoffs against each other and let the data pick the number that maximizes revenue per visitor — not the one that feels safe.
Compare standard vs express framing, paid upgrades, and delivery-date promises to see what actually converts.
A threshold that works for metros may not fit tier-2 cities — set different shipping rules by region, device, or new vs returning.
Set it too low and you give away margin on orders that would have paid; set it too high and you suppress conversion. The optimal threshold also nudges basket size upward as shoppers add an item to qualify — but that sweet spot is specific to your catalog and only testing finds it.
A live progress bar (“You’re $5 from free shipping”), a delivery-date promise, and an express-upgrade option each move conversion in different ways. CustomFit lets you A/B the messaging and the mechanics together, measured on real orders.
We'd run $35 free shipping for years. Testing proved $49 made more per visitor and nudged AOV up — the qualify-to-free behavior paid for itself immediately.
From a threshold question to a margin-tested answer — no code.
Define the thresholds, upgrades, or shipping messages you want to compare.
Optionally split by region, device, or new vs returning visitors.
We report revenue and margin per visitor and the AOV effect, not just CVR.
Ship the winning threshold and message — globally or by segment.
Shipping A/B testing compares free-shipping thresholds, delivery-speed options, and shipping messaging on live traffic to find what maximizes revenue. Because the free-shipping cutoff is both a conversion lever and a margin dial — and often nudges basket size up — CustomFit measures each variant on revenue and margin per visitor and lets you set a different threshold per cohort.
Unexpected shipping cost is a top abandonment cause — the right threshold removes it.
A well-set threshold nudges shoppers to add an item to qualify, lifting basket size.
Metro and tier-2 shoppers behave differently; per-cohort thresholds respect that.
Turn the shipping threshold into a tested, profit-aware decision.
Balance free-shipping cost against the conversion and AOV it buys.
Pair shipping offers with campaigns and measure the real lift.
Shipping A/B testing compares free-shipping thresholds, delivery-speed options, and the way shipping is communicated — all on live traffic. The free-shipping cutoff in particular is one of the most consequential numbers in D2C: it sits right at the point of purchase and influences both whether a shopper converts and how much they spend.
The threshold is really a profit dial. Set it too low and you give away margin on orders that would have paid for delivery anyway; set it too high and you suppress conversion. The optimal point also tends to lift average order value, because shoppers add an item to qualify for free shipping — but that sweet spot depends on your catalog and margins, so only a real test reveals it.
Beyond the number, the message matters: a live progress bar, a delivery-date promise, and an express-upgrade option each pull differently. CustomFit lets you test the mechanics and the messaging together, scope different thresholds to different cohorts, and judge every variant on revenue and margin per visitor — so shipping becomes a deliberate lever rather than a number you inherited.
Free-shipping thresholds, flat-rate vs free, express/paid upgrades, delivery-date promises, and the wording of shipping messages like the progress bar.
A low threshold gives away margin on orders that would have paid for shipping, and misses the AOV lift from shoppers adding an item to qualify. Testing finds the point that maximizes revenue per visitor.
Yes. Thresholds and shipping rules can be scoped per cohort — region, device, or new vs returning — so each audience gets the offer that works for it.
Yes. CustomFit reports the AOV effect alongside conversion and margin, so you can see the qualify-to-free nudge, not just the conversion change.
No. Marketers configure shipping tests in a no-code editor; developers can use the API and SDKs when they want deeper control.
Test thresholds and shipping copy on real traffic this week — free to start.