You know customer retention matters. You just can't see it clearly.
Niblin segments every customer by recency, frequency, and spend, then tracks how they move between segments over time. When your Champions go quiet or your At-Risk count starts climbing, it shows up in your daily briefing.
RFM Segmentation
Know exactly who your Champions, Loyalists, and At-Risk customers are — today
RFM analysis that updates continuously, not quarterly. Every customer is scored on Recency, Frequency, and Monetary value and placed into actionable segments. When segment sizes shift, Niblin alerts you with the exact count, direction, and severity.
- Automated RFM scoring across your entire customer base, updated daily
- Segment size tracking: Champions, Loyal, Promising, At Risk, Lost — with period-over-period changes
- Segment count anomaly alerts when Champions drops 22% or At-Risk spikes 15%
- No manual exports, no pivot tables, no quarterly "customer health reviews" that are already stale
Segment Transitions
See customers moving between segments before the damage is done
The most dangerous metric in D2C is the one you can't see: customers silently downgrading. Niblin tracks every transition — 8 customers moved from Champions to At Risk in the last 14 days, 12 moved from Promising to Hibernating. Each transition is scored for business impact.
- Real-time transition tracking between every RFM segment pair
- Direction-aware alerts: positive transitions (win-backs) get green flags, negative transitions (churn signals) get amber
- Business impact narratives: "In the last 14 days, 8 customers transitioned from Champions to At Risk"
- Transition volume trends so you can tell if churn is accelerating or stabilizing
Retention & Cohorts
Which acquisition month is actually producing repeat buyers?
Your January cohort had 2,400 new customers. By month 3, only 180 came back. Was that good? Bad? Niblin shows cohort retention curves so you can compare acquisition quality across months, channels, and campaigns — and stop celebrating new customer counts that never repurchase.
- Monthly cohort retention curves with automatic benchmarking against your own historical performance
- Repeat purchase rate tracking: what percentage of first-time buyers become second-time buyers?
- Time-to-second-purchase distribution — see if your repeat window is 30 days or 90 days
- Cohort revenue contribution: which acquisition months are still generating revenue today?
Customer Profiles & LTV
Open any customer and see their whole story
Every customer gets a profile: orders, spend, segment history, and returns in one place. Cohort 12-month LTV shows what an acquisition month is really worth, and audience filters let you pull the exact customers you need, including serial returners and failed deliveries.
- Customer profile page with orders, spend, and lifecycle transitions over time
- Cohort 12-month LTV in the marketing workspace, next to what you spent to acquire them
- Audience builder with returns and NDR (failed delivery) filters
- At-risk segments surfaced early, so win-back starts before a customer is lost
Your customers are telling you something. Start listening.
Connect Shopify in 15 minutes. See which customer segments are growing, which are shrinking, and which customers are sliding toward At Risk.