Customers
EK
Emily Khan
dormantemily.khan42@example.com · +447216704568
- Source
- mailchimp
- Last contacted
- 12 Nov 2024
- Mortgage renewal
- 23 May 2026
- Loan value
- £718,000
- Region
- North West
- Added
- 02 May 2025
renewal-soon
Activity
-
Email opened — "It's been a while"
12 Nov 2024
-
Enrolled in Dormant Reactivation
02 May 2025
-
Imported from mailchimp
02 May 2025
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 80
Churn risk 41
What's driving likelihood to respond
Engagement history 74
Recency of contact 69
Source quality 83
Profile & loan fit 84
Renewal timing 93
What's driving churn risk
Time since engagement 50
Contact frequency 31
Channel responsiveness 44
Relationship tenure 30
Best send time
Learning…
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.