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, you see it the day it happens.
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 this week, 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?
LTV Intelligence
Stop guessing what a customer is worth — know it
Your Meta CPA target depends on knowing your LTV. But most D2C brands use a single average LTV number that hides massive variation. Niblin breaks LTV down by segment, channel, and product — so your $18 CPA target for Champions makes sense even if your blended LTV says $45.
- Segment-level LTV: Champions at $320 vs Promising at $48 changes your entire acquisition strategy
- LTV:CAC ratio tracking by channel — is Google producing $4:1 customers or $1.2:1 customers?
- CAC payback period by segment: how many months until each customer type becomes profitable?
- Historical LTV trends so you can see if customer quality is improving or eroding over time
Your customers are telling you something. Start listening.
Connect Shopify in 15 minutes. Tomorrow, you'll know exactly which customer segments are growing, shrinking, and churning — and what to do about it.