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Measure which scenarios work in BigCommerce faster

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.

How DropUI works with BigCommerce

See where to start and what will show fastest whether BigCommerce helps you get more from your traffic.

BigCommerce: popups, web push, and cart recovery

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.

Abandoned cart popup in BigCommerce

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.

Web push in BigCommerce after the shopper leaves

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.

How to increase order value in BigCommerce

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.

Forms and lead capture in BigCommerce

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.

How to measure campaign performance in BigCommerce

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.

When this integration matters most

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.

3 scenarios that show results fastest

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

Popup: abandoned cart

Show a discount, free shipping, or one last offer when a shopper is about to leave with a cart.

Use this playbook
abandoned cart

In your store

Bar: free shipping threshold

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

Use this playbook
free shipping threshold

After exit

Web push: seasonal campaign return

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

Use this playbook
seasonal campaign return

What your campaign can build on

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.

  • Cart value
  • Products in the cart
  • Currency
  • User device and language
  • URL and stage of the buying journey
  • Lead captured from the campaign form

Questions before you start

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