Detect Churn-Risk Customers for Winback Targeting
Reach at-risk customers before they leave — not after they already have.
Most brands run win-back campaigns to customers who have already churned — but the best time to retain a customer is before they've made the mental decision to leave. PayHelm's weekly churn risk task uses each customer's individual purchase cadence and engagement behavior to predict who is approaching churn risk right now — not 90 days from now — and surfaces them for targeted intervention via email, SMS, or paid retargeting before they're gone.
No credit card required · 14-day free trial
1 hr
Time saved per run
52 hrs
Annual hours saved
$1,786
Annual cost savings
Why automate this?
This task runs automatically every weekly — no dashboards to check, no manual analysis to run.
Individual cadence modeling
Uses each customer's own purchase frequency as the baseline — not a one-size-fits-all 60-day threshold.
Proactive intervention
Customers flagged before they've churned — intervention is 3–5x more effective at this stage.
Revenue at risk sizing
Each at-risk segment shows total revenue at risk if these customers don't return.
Intervention matching
Risk level and customer value used to match intervention intensity — VIP risk = proactive call; standard = email sequence.
How the agent runs this task
Every time this task runs, the agent executes these tools in sequence — connecting to your live data, analyzing it, and delivering results.
get_inventory_summaryPull customer purchase cadence and recency data
search_klaviyoAnalyze email engagement decline signals by customer
create_klaviyo_flowEnroll newly at-risk customers in proactive retention flows
export_to_emailDeliver churn risk report with segment breakdown
Example output
Here's what a real run of this task might produce — delivered to your inbox every weekly.
Churn Risk Report — Week of April 7 3 risk tiers: 🔴 High Risk (approaching 2x their avg purchase gap) — 284 customers Revenue at risk: $42,800 Recommendation: Launch 15% retention offer + personal email from founder 🟡 Medium Risk (1.5x avg gap) — 812 customers Revenue at risk: $62,000 Recommendation: Enroll in win-back flow with product recommendation 🟢 Low Risk (1.2x gap) — 1,840 customers Action: Monitor; enroll in engagement nurture
Set it up in minutes
No code. No configuration files. Just a conversation with the agent.
Chat: 'Which customers are showing signs of churn risk based on their purchase cadence?'
Review the risk tiers and confirm intervention strategies per tier
Save as task → Weekly on Monday at 7:00 AM
High-risk customers enrolled in Klaviyo retention flows automatically
Start automating your ecommerce store today
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