Customer Retention
Retention intelligence
Churn prediction with explainable reason codes, RFM segmentation, and AI-generated win-back recommendations.
Active customers
487,2118.2%
Churn rate (30d)
2.7%0.4%
At-risk count
1,28414.2%
Retention rate (90d)
78.4%3.1%
RFM Segmentation
Recency × FrequencyRecency →
Lost
142
Hibernating
482
At risk
1,284
Cannot lose
824
Champions
2,840
Lost
318
About to sleep
1,284
At risk
1,842
Loyal
4,280
Champions
6,840
Lost
482
Hibernating
982
Need attention
2,840
Loyal
4,820
Loyal
8,420
New
1,842
Promising
2,480
Potential loyalist
3,280
Loyal
5,840
Loyal
7,240
New
2,840
New
4,280
Promising
3,840
Promising
4,280
Champions
5,240
Frequency →
Churn reason codes
AI-derived from at-risk cohort behavior
Messaging fatigue (>5 emails/week)high
142
Last deposit > 30 dayshigh
89
Drop in WhatsApp open ratemedium
67
Failed payment attemptshigh
24
Negative support sentimentmedium
18
Tier downgradelow
12
Churn rate · last 30 days
0.4%High-risk customers
3KM
Khaled Mansour
Bedouin FX
81
$22,300
YT
Yuki Tanaka
NeonMart
64
$0
OM
Olga Markova
StellaSpin Casino
41
$3,120