Customers
MA
Mia Allen
dormantmia.allen44@example.com · +447644560983
- Source
- mailchimp
- Last contacted
- 23 May 2024
- Mortgage renewal
- —
- Loan value
- £715,000
- Region
- Midlands
- Added
- 05 Jan 2026
Activity
-
Email opened — "It's been a while"
23 May 2024
-
Enrolled in Dormant Reactivation
05 Jan 2026
-
Imported from mailchimp
05 Jan 2026
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 93
Churn risk 68
What's driving likelihood to respond
Engagement history 93
Recency of contact 83
Source quality 100
Profile & loan fit 100
Renewal timing 79
What's driving churn risk
Time since engagement 63
Contact frequency 56
Channel responsiveness 66
Relationship tenure 76
Best send time
Learning…
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.