Ecommerce Manager Got 80% Open Rates and 500 Purchases From Lapsed Customers - Smart Marketer

Case Study

Ecommerce Manager Got 80% Open Rates and 500 Purchases From Lapsed Customers

An ecommerce manager used Smart Pixel to re-identify lapsed customers who returned to the site anonymously — triggering personalized win-back emails based on exactly what each customer came back to view.


The Situation

An ecommerce manager had a segment of 12,000 customers who had bought once but never returned. Standard re-engagement emails were averaging 11% open rates and almost no conversions. The emails were generic — there was no signal about what each person was currently interested in.

80%
Open rate on triggered win-back emails
500
Purchases from the win-back campaign

How It Was Done — Step by Step

1

Installed Smart Pixel to Re-Identify Anonymous Return Visitors

Smart Pixel was deployed to identify visitors coming to the site from the lapsed customer segment — even when they didn’t log in or add anything to a cart. When a lapsed customer returned, the pixel matched their device to their email address.

2

Triggered Emails Based on What Each Customer Viewed

Rather than sending a generic win-back offer, the system triggered a specific email based on which product category each returning customer had browsed. Someone who came back to look at kitchen products got an email about what was new in kitchen. Someone who browsed skincare got a skincare-specific email.

3

Personalized Subject Lines With Browse Data

Subject lines referenced the browsed product category directly — driving open rates to 80% among identified returners. Broad re-engagement emails to the same cohort were opening at 11%.

4

Sequenced Three Touches Over Seven Days

Customers who didn’t purchase after the first email received two follow-up emails over seven days — the second added a 10% loyalty discount, the third added urgency with a 48-hour expiry. All three emails maintained category relevance.

5

Suppressed Purchasers and Monitored Non-Converters

Anyone who purchased was immediately suppressed from the sequence. Non-converters were flagged for a second wave 30 days later if they returned to the site again — keeping the system self-refreshing without manual intervention.

The Result

500 purchases from a cohort that had been written off as permanently lapsed. The 80% open rate wasn’t magic — it was the result of sending an email about something each person had literally just been looking at. Behavioral relevance was the entire mechanic.

“The generic win-back email was doing nothing. The moment we triggered emails based on what someone actually came back to look at, everything changed. 80% open rates on a cold audience.”

Ecommerce Manager — Specialty Consumer Goods Brand

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