E-commerce & DTC Brands
Reactivate lapsed customers you already paid to acquire
We spot churn signals before customers go dark, then send win-back messages when they are most likely to return.
The problem
Sound familiar?
Your lapsed list grows with no reactivation plan
You know who bought six months ago and never returned. Nothing chases them.
You wait until customers are fully lapsed
Win-back emails at 90 days get under 5% opens. The signal is at 45 days, while they are drifting.
One discount for every lapsed customer burns margin
A 20% code sent to someone who buys every 90 days anyway is wasted margin.
No visibility into which category lost them
A customer dropped your supplements but still buys apparel. A supplement offer is noise.
The solution
What we actually do
A churn model built from your Shopify purchase data flags customers in the 30-45 day drift window. Win-back sequences follow, with offers matched to churn risk.
What you get
What's included
Churn prediction model built on Shopify purchase history
Drift detection at 30 and 45 days post-purchase
Tiered incentives, discount depth matched to churn risk
Email, SMS, and optional retargeting audience sync
Category-level personalisation so the right products show
Reactivation revenue dashboard vs. control group
The process
How it works
Model
We build a churn model from frequency, recency, and category.
Segment
We set drift and lapsed thresholds for your repurchase cycle.
Sequence
We build email and SMS sequences with offers per risk tier.
Measure
We track reactivation and revenue vs. control monthly.
Proof it works
The offer
Model build included in month one. Tuning and reporting ongoing.
Keep exploring
More for E-commerce & DTC Brands
Smart Cart Recovery
Recover 3 to 5 times more abandoned carts than Klaviyo alone
AI Product Recommendations
Higher AOV on every session without adding ad spend
Subscription Optimization
Higher LTV and lower churn without manual retention outreach
AI Support Chatbot
Resolve 60% of support tickets before a human sees them
Order Status Voice Agent
Handle 80% of inbound WISMO calls without a support rep
Returns Automation
Cut returns processing time by 70% with a self-serve portal
Common questions
Frequently asked
01How is this different from a standard win-back Klaviyo flow?
A Klaviyo flow fires at a fixed time for everyone. Ours fires per customer, based on churn risk.
02What data do you need to build the model?
Shopify order history. Two years is ideal. Six months works.
03Can we exclude customers who are already in an active campaign?
Yes. Suppression logic handles it.
04Does it work for subscription brands?
Yes. For subscriptions we watch skips and pauses instead of purchase recency.
05Is TechEmulsion based offshore?
No. US entity in Wyoming. Our team works in your timezone.