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Cart recovery

Recover abandoned carts with personalized offers

Cart abandonment software helps you win back shoppers who add products to their cart and leave. Skubl predicts abandonment risk from behavior signals while the shopper is still on your site, then responds with the right nudge: a reminder, a shipping offer or, only when it’s needed, a discount.

It’s the recovery layer of Skubl’s ecommerce personalization.

Get startedSee how it works

Illustrative example · sample store

The problem

Most abandoned cart tactics give margin away

The usual playbook is a discount code emailed to everyone who leaves. Shoppers learn to abandon on purpose, and you pay a discount to people who would have come back anyway.

  • 01

    Blanket discounts

    Every abandoner gets the same code, regardless of whether they needed it.

  • 02

    Too late

    Recovery starts after the shopper has gone, when the moment has passed.

  • 03

    One message for everyone

    A first-time browser and a loyal customer get the same reminder.

How Skubl solves it

How Skubl’s cart abandonment solutions work

  • 01

    Abandonment risk scoring

    Skubl’s predictive models score how likely each cart is to be abandoned, using behavior signals as they happen.

  • 02

    Onsite exit intent

    Respond before the shopper leaves with a reminder, reassurance or offer.

  • 03

    Discounts only when needed

    Offer incentives only to shoppers who are at high risk and unlikely to return on their own, so you protect margin.

  • 04

    Recovery emails

    Follow up with emails that show the current cart, stock and price at the moment of open.

Cart abandonment behavior signals that predict who will leave

Signals an ecommerce store can use to spot abandonment risk early.

Shipping and total surprises
Long pauses or repeated visits after shipping costs appear.
Coupon hunting
Clicking into the discount field, or leaving and returning shortly after.
Comparison behavior
Repeated switching between product pages, or leaving the tab during checkout.
History
A shopper’s past abandonment and purchase patterns, plus their predicted lifetime value.

A dynamic discount strategy for cart recovery

How to make cart recovery effective without training shoppers to wait for a code.

  1. 01

    Score the risk

    Not every cart is at risk. Start by predicting which ones are.

  2. 02

    Try free nudges first

    Reminders, stock alerts and delivery dates recover many carts at no cost.

  3. 03

    Offer the smallest incentive

    When an offer is needed, use the smallest one likely to work: free shipping before a percentage off.

  4. 04

    Measure recovered margin

    Track revenue recovered minus discounts given, against a holdout. See ecommerce A/B testing.

Abandoned cart recovery in practice

Illustrative scenarios, not customer results.

  • Shipping hesitation

    A high-risk shopper pausing on shipping costs sees a free-shipping offer; a low-risk one sees a delivery date instead.

  • Abandoned cart email

    The follow-up email shows the cart as it is at the moment of open, including stock and price changes.

  • Back in their size

    A shopper who left because their size was gone is told when it returns.

What cart abandonment software should move

We’ll add verified customer results here.

  • Metric to watch

    Recovered revenue

    Revenue from carts that would otherwise have been lost.

  • Metric to watch

    Checkout completion rate

    The share of checkouts started that end in an order.

  • Metric to watch

    Discount cost per recovered order

    Proof that recovery isn’t just paying shoppers to come back.

Connects your store and your inbox

Cart and order data come from the native Shopify connector. Recovery emails can run through your email platform.

All integrations
  • ShopifyNative Shopify connector for products, customers and orders. The data foundation for every prediction and personalized experience.Available
  • KlaviyoUse Skubl predictions and recommendations inside Klaviyo emails, and Klaviyo engagement as a shopper signal.Planned

Cart abandonment FAQ

What is cart abandonment rate?

Cart abandonment rate is the share of shopping carts that are created but not turned into orders. Calculate it as 1 minus (completed orders ÷ carts created), shown as a percentage.

How do you reduce cart abandonment?

Show total costs early, offer guest checkout, keep checkout short, show delivery dates and returns information, and respond to hesitation before the shopper leaves. Personalize recovery so incentives go only to shoppers who need them, and follow up with emails that reflect the current cart.

What is the difference between cart abandonment and checkout abandonment?

Cart abandonment is when a shopper adds products to their cart but never starts checkout. Checkout abandonment is when they start checkout but don’t finish. The causes differ: cart abandonment is often about browsing or comparison, and checkout abandonment is often about cost, trust or friction.

Keep exploring

Recover more carts and give away less margin

Connect your store to see abandonment risk scoring on your store’s traffic.

Get startedSee pricing

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