Ecommerce · Customer Intelligence
Know who's coming back, and when.
Pulse turns your order history into a clear read on which customers matter — who's loyal, who's drifting, and who's worth a nudge before they disappear for good.
The problem
Most stores treat every customer the same in emails, offers, and ads — a brand-new buyer and a five-year regular get identical treatment. That wastes marketing budget on people who were never going to buy again, and it lets your best customers feel unrecognized.
The information to fix this already sits in your order history. It just isn't organized into anything your team can act on without hours of manual spreadsheet work.
What Pulse tells you
Who your real regulars are
Not just "purchased twice" — customers grouped by how they actually buy, so loyalty offers reach people who'll use them.
Who's about to go quiet
Every product has its own natural rhythm between purchases. Pulse learns yours and flags customers who've gone past it.
Who's worth chasing
A one-time buyer isn't automatically a lost cause — Pulse separates the ones worth a "come back" nudge from the ones who won't respond.
How it fits your week
You connect an order export or store data feed. Pulse reads through it and sorts every customer into a clear group — loyal, at-risk, one-time, seasonal — updated on whatever schedule you want, weekly or in real time.
Your team opens the dashboard, sees exactly who needs attention today, and acts — a win-back email, a loyalty perk, or nothing at all for customers who were never going to return regardless of what you send them.
Try it
See Pulse running on sample store data.
This demo uses realistic synthetic order data — no real customer information. The live version connects directly to your store and updates automatically.
Live demo →More work