Every customer record tracks:
- lifecycle timestamps (created, first order, last order, at-risk date, lapse date),
- opt-in status for email and SMS, and;
- basic profile information (gender, date of birth, country, location).
✅ You can ask about
- Customer counts
- Acquisition and lapse trends
- At-risk analysis
- Contactability (email/SMS opt-in rates),
- Repeat purchase and retention rates
- Cohort analysis
- Customer lifetime value
- ARPU (average revenue per user)
⚠️ Watch out for
- At-risk vs lapsed are distinct states: At-risk means a customer is flagged as disengaging but hasn't lapsed yet. Someone with both an at-risk date and a lapse date has progressed through to lapse. See also: Lifecycle stages in Ometria
- 12-month repeat rate is a specific cohort metric: of customers acquired in a given window, what percentage placed a second order within 52 weeks? Ometria's Deep Insights Agent uses a lookback that ensures every customer in the cohort has had a full year to repurchase.
- Lifecycle status exists as a field but isn't used for standard analysis. The timestamp-based lifecycle dates are more reliable and flexible.
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