WHY ZEFIR
OFFICIAL META BUSINESS PARTNER · WHATSAPP BUSINESS SOLUTION PROVIDER · SHOPIFY PARTNER
Trusted by leading ecommerce brands
HOW IT COMPOUNDS
Zefir’s AI reads what each customer browses, buys, and replies to — then decides what to send, to whom, and when. Because it learns from every conversation across the platform, its timing and product decisions keep sharpening: replenishment reminders land the week a customer runs low, winbacks reference what they actually bought, and drops go to the customers who wanted them. That precision is why personalized messages convert where blasts get ignored — and why the revenue impact grows over time instead of fading.
Real campaigns from Zefir clients
The drop, sent to the customers who came back for it
A conversation that knows where each customer is in their journey
The reminder, timed to when they’d actually run out
The AI learns your products, customers, and order history before the first send — every message reflects what each customer actually does.
Send timing, channel choice, and product selection are decided per customer — not per segment, not per campaign.
Every order is linked to the exact message that made the sale. Revenue impact is visible in one dashboard, not inferred from spreadsheets.
THE SYSTEM
A store with 100,000 customers generates millions of signals — products browsed, orders placed, messages opened, replies sent. Acting on them individually would take a team of hundreds. Zefir’s AI processes those signals continuously and makes three decisions for every customer: what to send, when to send it, and on which channel. Each decision is informed by that customer’s own history and by patterns learned across millions of conversations on the platform.
Browsing behavior, purchase history, order cadence, and message engagement — synced from the store in real time, per customer.
The product to feature, the moment to send, and the channel to use — decided for each customer individually, on every flow and every campaign.
Every send returns a signal — opened, replied, purchased. Those outcomes feed the next decision, so precision increases with volume.
This is the difference between segmentation and personalization: segments group customers by similarity — Zefir treats every customer as a segment of one.
