Customers
MG
Mia Green
dormantmia.green80@example.com · +447164259943
- Source
- mailchimp
- Last contacted
- 05 Jul 2025
- Mortgage renewal
- 17 Sept 2026
- Loan value
- £610,000
- Region
- Scotland
- Added
- 23 May 2024
buy-to-let
Activity
-
Email opened — "It's been a while"
05 Jul 2025
-
Enrolled in Dormant Reactivation
23 May 2024
-
Imported from mailchimp
23 May 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 87
Churn risk 67
What's driving likelihood to respond
Engagement history 72
Recency of contact 98
Source quality 99
Profile & loan fit 84
Renewal timing 96
What's driving churn risk
Time since engagement 59
Contact frequency 59
Channel responsiveness 57
Relationship tenure 80
Best send time
Sat 10:00am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.