Customers
ML
Mia Lewis
dormantmia.lewis90@example.com
- Source
- mailchimp
- Last contacted
- 24 Feb 2025
- Mortgage renewal
- 21 Apr 2027
- Loan value
- £699,000
- Region
- South East
- Added
- 02 Feb 2023
buy-to-let remortgage newsletter
Activity
-
Email opened — "It's been a while"
24 Feb 2025
-
Enrolled in Dormant Reactivation
02 Feb 2023
-
Imported from mailchimp
02 Feb 2023
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 57
What's driving likelihood to respond
Engagement history 68
Recency of contact 67
Source quality 71
Profile & loan fit 71
Renewal timing 72
What's driving churn risk
Time since engagement 64
Contact frequency 49
Channel responsiveness 58
Relationship tenure 67
Best send time
Mon 8:00am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.