In your store
Popup: abandoned cart
Show a discount, free shipping, or one last offer when a shopper is about to leave with a cart.

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In BigCommerce, you can launch popups, forms, web push, and cart recovery scenarios in a way that helps the team measure faster which messages actually improve sales, returns to checkout, and order value.
See where to start and what will show fastest whether BigCommerce helps you get more from your traffic.
In a BigCommerce store, traffic alone is rarely enough. Shoppers view products, compare offers, return to categories, and still leave before buying. That is why BigCommerce popups, web push, and cart recovery scenarios matter most when they help the team measure faster what actually improves store performance. DropUI reacts to specific moments in the buying journey instead of showing the same message to every visitor.
In BigCommerce, launching the campaign is only part of the job. You also need a fast way to tell whether the scenario works. Instead of planning too many variants at once, it is better to start with one hypothesis and compare the result. DropUI builds campaigns around ecommerce context such as cart value, products in the cart, currency, URL, device, and language, so the message can match the real shopping situation.
For many BigCommerce stores, the best first scenario is an abandoned cart popup. A shopper has products in the cart but does not complete the order or starts leaving the store. At that moment, one focused message often works best: a cart reminder, a free shipping threshold, a small discount, or a stronger buying argument.
Popups work while the shopper is still on the site. Web push helps after they leave, as long as they already granted permission. In BigCommerce, this works well for cart reminders, short offers, product reminders, or a message about how close the shopper is to free shipping.
Cart recovery is only one part of the picture. In BigCommerce, increasing order value is just as important. A bar with the missing amount to free shipping, a threshold-based bonus, or a complementary product suggestion can improve performance on traffic the store already paid for.
Not every visitor is ready to buy on the first visit. That is why BigCommerce stores also benefit from lead capture scenarios such as newsletter forms, first-purchase codes, promotion access, or waitlists. This gives the store a lighter step between an anonymous visit and a purchase.
Views alone are not enough. Clicks, CTR, leads, returns to cart, and variant comparison matter more. DropUI helps you compare scenarios and check whether free shipping, a discount, a product reminder, or a simpler message works better in the BigCommerce store.
This integration matters most when the BigCommerce team needs a faster feedback loop on which sales scenarios recover more purchase decisions, improve order value, and make better use of the traffic the store already has.
DropUI gives you access to more than 80 ready-to-launch scenarios. If you are starting with BigCommerce, these three are the fastest way to see what actually lifts sales, leads, or cart value.
In your store
Show a discount, free shipping, or one last offer when a shopper is about to leave with a cart.

In your store
Show how much is left to free shipping and give shoppers a reason to add one more product.

After exit
Bring shoppers back for Black Friday, holidays, or payday with a web push sent after they leave the store.

This data helps you choose better timing, offers, and targeting for your campaign.
In BigCommerce, a faster scenario feedback loop and full ecommerce context both matter. DropUI lets you build campaigns and A/B tests around store data and shopper behavior closer to the purchase decision.
If you have doubts before connecting BigCommerce, start with these questions. They are the fastest way to understand how to begin and what to expect.
The best starting point is usually one scenario with a clear goal, such as cart recovery or higher order value. That gives you a faster feedback loop on what actually improves store performance.
Ready to launch
Connect BigCommerce, launch the first scenario, and measure faster what actually improves sales and order value.
Last content update: May 18, 2026