| Stage | Definition |
|---|---|
| Acquisition | Target D2C founders and Head of Growth at brands with 500–10,000 customers running on Shopify, WooCommerce, or custom stacks with no dedicated retention system |
| Activation | First intelligence scan completes successfully — all customers scored, stage distribution visible on dashboard, at least one customer flagged in Churn Countdown |
| Retention | Brand operators who receive an at-risk alert for a customer who then converts after the intervention continue using RetainIQ through month three |
| Revenue | Infrastructure cost under $0.05 per customer per month. At 1,000 customers, total monthly cost remains under $50 |
| Referral | A founder who sees a customer move from AT_RISK back to ACTIVE after an automated win-back email has an immediate story to tell their peer network |
| Metric | Target |
|---|---|
| Happiness | Brand operator satisfaction score ≥ 4.5/5 after first week of live monitoring |
| Engagement | Number of manual scans triggered per week; intervention emails opened by customers |
| Adoption | % of at-risk customers receiving automated intervention vs those missed |
| Retention | Operators active across 3+ consecutive months without manual re-engagement |
| Task Success | Stage transition detected and intervention email delivered within 60 seconds of scan completion |
| Metric | Target |
|---|---|
| Scoring Reliability | 100% — deterministic code-based calculation produces consistent output for identical inputs |
| Stage Classification Accuracy | Validated against 30 seed customers across all five lifecycle stages |
| Intervention Routing Accuracy | Correct intervention type triggered for 100% of stage transitions in testing |
| Workflow 1 End-to-End Latency | Under 3 seconds from webhook receipt to Supabase update |
| Workflow 2 Bulk Processing Time | Under 15 seconds for 26 customers including all PATCH operations |
| Email Delivery Rate | 100% on verified sender domain via Brevo transactional API |
Customers Saved × Days Before Churn
The system succeeds when customers who would have churned are retained, and when those customers are caught earlier in their drift — giving the brand more time to act. Both the count of recoveries and the earliness of detection must improve simultaneously.