Customers
LE
Liam Evans
dormantliam.evans1@example.com · +447342394689
- Source
- mailchimp
- Last contacted
- 10 Nov 2025
- Mortgage renewal
- —
- Loan value
- £607,000
- Region
- South East
- Added
- 05 Apr 2025
newsletter remortgage referral
Activity
-
Email opened — "It's been a while"
10 Nov 2025
-
Enrolled in Dormant Reactivation
05 Apr 2025
-
Imported from mailchimp
05 Apr 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 79
Churn risk 74
What's driving likelihood to respond
Engagement history 88
Recency of contact 91
Source quality 64
Profile & loan fit 85
Renewal timing 88
What's driving churn risk
Time since engagement 77
Contact frequency 88
Channel responsiveness 79
Relationship tenure 72
Best send time
Learning…
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.