Most shoppers tell you they're about to leave — they hesitate, re-read, bounce between products, drift toward the back button. CustomFit reads those signals live and answers with one well-timed nudge, not a wall of popups. AI scores intent live and picks the one nudge worth showing.
Scroll depth, dwell, repeat views, idle-in-cart, and exit motion roll up into a live intent score you can trigger on.
Timing is the whole game. Nudges fire on the behavior that signals the moment — not on a blunt 5-second timer.
Frequency caps, cool-downs, and one-nudge-per-session rules keep the experience helpful — never spammy.
Shoppers broadcast hesitation constantly. CustomFit captures the behavioral tells in real time and rolls them into intent tiers — browsing, considering, hesitating, abandoning — each with its own nudge strategy.
Pull from a library of conversion nudges — exit offers, free-shipping meters, urgency, social proof, coupon reveals, bundle upsells — or build your own. Each is a branded widget you can drop in and target with a single rule.
A nudge that recovers a cart but trains shoppers to wait for a coupon isn't a win. Every nudge runs with a holdout so you see recovered revenue, AOV impact, and discount cost — with refund rate as a guardrail.
We replaced our always-on popup with intent-gated nudges. Fewer interruptions, and recovered revenue actually went up.
Buyer-intent nudges read behavioral signals in real time — scroll depth, dwell, repeat views, idle carts, exit motion — to gauge how likely a visitor is to buy, then respond with one well-timed nudge instead of a wall of popups. The right message at the right second recovers carts without annoying shoppers.
Shoppers signal doubt before they leave — nudges answer it in the moment.
Intent-gating means one helpful nudge, not a barrage of popups.
Holdouts ensure a nudge adds revenue after discount cost — not just recovers it.
Recover more carts without hurting brand experience.
Replace blunt always-on popups with measured, gated nudges.
Lift revenue per visitor with tasteful, on-brand prompts.
Buyer-intent nudges read behavioral signals in real time — scroll depth, dwell time, repeat product views, idle-in-cart, and exit motion — to gauge how likely a visitor is to buy, then respond with one well-timed nudge instead of a wall of popups. The right message at the right second recovers carts and lifts revenue without annoying shoppers.
Most shoppers broadcast hesitation before they leave. CustomFit rolls these signals into a live intent score and tiers — browsing, considering, hesitating, abandoning — each with its own nudge strategy, from surfacing reviews to an exit-intent offer with a save-cart email capture.
Because nudges are gated on real intent and capped by frequency, shoppers see at most one helpful prompt per session. And every nudge runs with a holdout, so you measure recovered carts, AOV impact, and net revenue per visitor — with refund rate as a guardrail — to be sure the nudge truly pays for itself.
Buyer-intent nudges are real-time, behavior-triggered prompts (offers, urgency, social proof, exit offers) shown to shoppers based on a live intent score, designed to recover carts and lift conversion without spamming visitors.
Only if they fire indiscriminately. CustomFit gates every nudge on real intent plus frequency caps and cool-downs, so a shopper sees at most one well-timed nudge.
Every nudge runs with a holdout group, so you see recovered carts, AOV impact, and net revenue per visitor — not just raw recovery rate.
CustomFit watches behavior in real time — scroll depth, dwell, repeat product views, add-to-cart then idle, rapid product back-and-forth, exit motion, cart value, and session count. Combine these into intent tiers and attach a nudge to each.
Yes. Every nudge is an experiment by default — hold out a control group and measure recovered carts, AOV, and net revenue per visitor, with refund rate as a guardrail.
Yes, with mobile-native triggers — back-button intent, tab-blur, and scroll-stall — plus layouts tuned so a nudge never covers the buy button.
No. Marketers build experiments and personalized experiences in a no-code visual editor; developers can use the API and SDKs when they want deeper control.
Launch your first intent-gated nudge this week — free to start, live in 4 minutes.