Use cases
One platform, five different decisions.
Retention, CRM, marketing, customer experience and leadership teams use Churnico for different questions. All of them work from the same data foundation and the same language of risk.
Who will leave in the coming period?
- Problem
- The churn rate is known, but not which customers will leave; intervention always comes too late.
- With Churnico
- The whole active portfolio is scored; high-tier customers surface together with their main reasons.
Which segment is the problem growing in?
- Problem
- The portfolio average looks fine; deterioration in specific segments gets lost inside it.
- With Churnico
- Risk is compared across segment, product, region and customer age; diverging segments are flagged.
0-6 mo6-12 mo1-2 yrs2-4 yrs4+ yrs
Consumer0.420.330.240.160.12
SME0.710.580.390.270.18
Enterprise0.280.220.170.120.08
Public sector0.190.150.110.090.06
Low riskHigh risk
Why are customers leaving?
- Problem
- Exit surveys are few and shallow; the real reasons are scattered across records.
- With Churnico
- Risk drivers are broken into reason codes; price, service, contract and usage-driven loss are tracked separately.
Contribution to score
- Time to contract end+0.34
- Deviation from personal usage baseline+0.27
- Support requests, last 60 days+0.18
- Payment channel change+0.12
- Past campaign response+0.09
Limited capacity: who first?
- Problem
- The retention team can't reach everyone; the list is worked at random or by value alone.
- With Churnico
- Risk, value and urgency are weighed together; the list is cut to the team's weekly capacity.
| Customer | Risk | Main reason | Recommended action |
|---|---|---|---|
| 7F3A…C21 | 0.82High | Contract ending | Renewal offer |
| B10E…94D | 0.77High | Price sensitivity | Tariff recommendation |
| 24C8…1AF | 0.71High | Service experience | Senior agent outreach |
| E95D…07B | 0.66Medium | Usage decline | Account manager visit |
Which intervention, for which customer?
- Problem
- Everyone gets the same discount; budget goes to customers who'd stay anyway while leavers aren't convinced.
- With Churnico
- Interventions are matched to reasons; campaign audiences are defined by risk and reason combined.
Customer A · frequent userDeviation alert
Today
Customer B · occasional userNormal
Today
Normal rangeCurrent silence
See your churn risk in your own data.
Let's talk through your data in a short call and assess together which signals Churnico can read in your customer base.