Customers
CD
Chloe Davies
dormantchloe.davies88@example.com · +447972314353
- Source
- mailchimp
- Last contacted
- 11 Aug 2025
- Mortgage renewal
- 06 Nov 2026
- Loan value
- £687,000
- Region
- Midlands
- Added
- 09 Nov 2024
self-employed first-time-buyer no-reply-90d
Activity
-
Email opened — "It's been a while"
11 Aug 2025
-
Enrolled in Dormant Reactivation
09 Nov 2024
-
Imported from mailchimp
09 Nov 2024
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 84
Churn risk 68
What's driving likelihood to respond
Engagement history 77
Recency of contact 99
Source quality 69
Profile & loan fit 98
Renewal timing 92
What's driving churn risk
Time since engagement 80
Contact frequency 71
Channel responsiveness 75
Relationship tenure 67
Best send time
Thu 7:00pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.