Reduce cart abandonment by fixing checkout, not by discounting
Omniconvert Explore tests the fixes that keep shoppers moving. Omniconvert Commander shows who abandons and why.
Placeholder values below. Replace them with yours.
carts × share abandoned × order value
See how Explore and Omniconvert Commander find the fixable part of this ↓
Simple arithmetic on the numbers you enter. It is a scenario, not a benchmark or a forecast. For context, the Baymard Institute puts the global average abandonment rate at 70.22 percent across 50 studies [Baymard Institute, 2026].
Built on data from 2,500+ eCommerce brands







In shortPrevent cart abandonment instead of chasing it. Omniconvert Explore tests the checkout friction that drives shoppers away, and Omniconvert Commander shows which segments abandon and why.
How many of these leaks are open in your checkout?
Tick what is true today. Be honest, nobody is watching.
Abandonment has specific causes, and many sit at the checkout
Surprise extra costs at checkout are the single biggest cause of abandonment, ahead of forced account creation and long checkout forms [Baymard Institute, 2026]. Prevention beats recovery, so the work starts at the checkout, not in the follow-up inbox.
Funnel shape is illustrative, not a benchmark. Statistics: Baymard Institute, 2026.
How to reduce cart abandonment before it happens
Prevention beats recovery, so the work starts at the checkout, not in the follow-up inbox.
Omniconvert Explore tests the checkout fixes on real orders
- Show shipping and taxes earlier, enable guest checkout, cut form fields
- Measure each fix on real orders instead of guessing
- Surprise extra costs are the biggest cause, ahead of forced account creation and long checkout forms [Baymard Institute, 2026]
Your team still: chooses which fix to test first and which version ships.
Omniconvert Commander shows which segments abandon most, and why
- New visitors, returning customers and high-value buyers each drop off at different points
- The fixes you test are aimed at the shoppers actually leaving
- Not a blended average that hides the real problem
Your team still: decides which segment to fix first.
Explore tests exit-intent overlays and their messaging
- The right reassurance can hold the sale without cutting price for everyone
- Overlays and messaging are tested like any other experiment
- Recovery is measured and targeted, not a discount on every cart
Your team still: decides the message and who sees it.
Your checkout work, untested vs with Explore and Omniconvert Commander
| Task | Untested checkout | With Explore and Omniconvert Commander |
|---|---|---|
| Finding the cause | Assumptions about the cause | Test each fix on real orders in Explore |
| Surprise extra costs | Cost reveal not tested | Showing shipping and taxes earlier is tested in Explore |
| Who abandons | One blended rate, no segments | Which segments abandon, and why, from Omniconvert Commander |
| Recovering a hesitant shopper | A blanket discount code | Targeted overlays, tested like any experiment |
| Proof a fix worked | No measured result | Measured on real orders |
PRISM+ ran a cart-page test focused on removing checkout friction rather than discounting, and shipped the version that lifted both conversion and revenue.
Omniconvert, PRISM+ cart page case study
Two things worth knowing upfront
Isn't a discount the fastest fix?
A discount is fast, but it trains shoppers to abandon on purpose and wait for the next code, and it comes straight out of your margin. Fixing the friction that made them hesitate takes more setup and lasts far longer.
Doesn't cart abandonment email recovery already solve this?
Recovery emails only reach people after they have already decided to leave, and only the ones you can identify. This page is about not losing shoppers at checkout in the first place, which is where the larger, un-emailable share of abandonment happens.
Common questions
What causes shopping cart abandonment?
Cart abandonment is when a shopper adds items to their cart but leaves without completing the purchase. The single biggest cause is surprise extra costs at checkout, such as shipping, taxes and fees, which drive 48 percent of abandonments, followed by forced account creation, long or complex checkout, and payment security concerns [Baymard Institute, 2026].
What is the average cart abandonment rate?
The global average is 70.22 percent across 50 studies, and it has held near 70 percent for more than a decade. Mobile abandonment runs higher at roughly 80 percent while desktop sits nearer 66 percent, which suggests the figure reflects structural checkout friction rather than random variation [Baymard Institute, 2026].
How do I reduce cart abandonment?
Start with the biggest cause: show shipping and taxes early so there are no surprises at checkout. Then enable guest checkout, reduce the number of form fields, and add trust signals near the payment step. Only once those foundational fixes are in place should you layer on recovery tactics like exit-intent overlays.
Is it better to prevent or recover cart abandonment?
Prevention addresses the larger share of the problem, because it works on every abandoning shopper at the moment of friction. Recovery only reaches the ones you can identify and contact, and only after they have already left, so it is a supplement to a well-designed checkout rather than a substitute for one.
Do discounts reduce cart abandonment?
A discount can lift completions in the short term, but used as the main fix it trains shoppers to abandon deliberately and wait for a code, and it reduces margin on customers who would have paid full price. Fixing checkout friction is the more durable lever; discounts are best reserved for targeted, tested recovery.
How do Omniconvert Explore and Omniconvert Commander reduce cart abandonment?
Omniconvert Explore tests the checkout changes that remove friction, such as upfront shipping costs, guest checkout and shorter forms, and measures each on real orders. Omniconvert Commander identifies which customer segments abandon most and why, so the tests you run are aimed at the shoppers actually leaving.
Related solutions
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