E-commerce & DTC Brands

Reactivate lapsed customers you already paid to acquire

We build a win-back system that identifies churn signals before customers go dark and sends personalised reactivation sequences timed to when they are most likely to return.

Hire Us on Upwork

The problem

Sound familiar?

Your lapsed customer list grows every month with no reactivation plan

You know who bought six months ago and never came back. You have no automated system to chase them. They sit in a segment that never receives a campaign.

You wait until customers are fully lapsed before reaching out

Win-back emails sent 90 days after last purchase have under 5% open rates. The signal you need is at 45 days — when they are drifting, not gone.

One discount sent to every lapsed customer burns margin

A 20% off code sent to a customer who buys every 90 days by habit just gave away margin. Incentive logic needs to match the customer's actual churn risk.

No visibility into which product category lost them

A customer stopped buying your supplements but is still buying your apparel. Sending them a supplement win-back offer is noise. Without category-level churn analysis, the message is wrong.

The solution

What we actually do

We build a churn prediction model from your Shopify purchase data, identify customers at the 30-45 day drift window, and trigger personalised reactivation sequences with incentive logic matched to their churn risk score.

What you get

What's included

Churn prediction model built on your Shopify purchase history

Drift detection at 30 and 45 days post-last-purchase (before full lapse)

Tiered incentive logic — discount depth matched to churn risk score

Multi-channel sequences: email, SMS, and optional retargeting audience sync

Category-level personalisation so the right product category is featured

Reactivation revenue dashboard tracking lift vs. control group

The process

How it works

Model

We build a churn probability model from your purchase frequency, recency, and category data.

Segment

We define drift and lapsed thresholds specific to your repurchase cycle.

Sequence

We build reactivation email and SMS sequences with personalised offers per risk tier.

Measure

We track reactivation rate and revenue vs. control and report monthly.

Proof it works

The Meatery

AI Voice CRM, Shopify multi-tenant

Read the case study

The offer

From $2,000/mo

Model build included in month one. Ongoing optimisation and reporting included.

Common questions

Frequently asked

01How is this different from a standard win-back Klaviyo flow?

02What data do you need to build the model?

03Can we exclude customers who are already in an active campaign?

04Does it work for subscription brands?

05Is TechEmulsion based offshore?

Ready to get started?

Let's build your win-back automation system

Hire Us on Upwork