Customers
GK
George Khan
dormantgeorge.khan94@example.com · +447445565632
- Source
- mailchimp
- Last contacted
- 26 Aug 2025
- Mortgage renewal
- 03 Aug 2026
- Loan value
- £488,000
- Region
- Midlands
- Added
- 08 Oct 2022
Activity
-
Email opened — "It's been a while"
26 Aug 2025
-
Enrolled in Dormant Reactivation
08 Oct 2022
-
Imported from mailchimp
08 Oct 2022
AI scoring How these are scored
The model scores each contact 0–100 from their engagement history, recency of last contact, source quality, and profile signals (loan value, renewal timing).
Likelihood to respond — higher is better. Churn risk — higher means more likely to go cold. Scores refresh as new activity arrives.
Likelihood to respond 90
Churn risk 10
What's driving likelihood to respond
Engagement history 93
Recency of contact 83
Source quality 86
Profile & loan fit 89
Renewal timing 100
What's driving churn risk
Time since engagement 20
Contact frequency 24
Channel responsiveness 6
Relationship tenure 9
Best send time
Learning…
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.