Customers
MR
Mia Roberts
dormantmia.roberts20@example.com · +447188659801
- Source
- mailchimp
- Last contacted
- 13 Jul 2024
- Mortgage renewal
- 06 Jun 2026
- Loan value
- £667,000
- Region
- Scotland
- Added
- 11 May 2025
Activity
-
Email opened — "It's been a while"
13 Jul 2024
-
Enrolled in Dormant Reactivation
11 May 2025
-
Imported from mailchimp
11 May 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 85
Churn risk 87
What's driving likelihood to respond
Engagement history 76
Recency of contact 93
Source quality 78
Profile & loan fit 86
Renewal timing 79
What's driving churn risk
Time since engagement 80
Contact frequency 100
Channel responsiveness 79
Relationship tenure 93
Best send time
Tue 6:30pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.