Customers
AA
Aisha Allen
dormantaisha.allen27@example.com · +447550264853
- Source
- mailchimp
- Last contacted
- 09 Mar 2025
- Mortgage renewal
- —
- Loan value
- £605,000
- Region
- North West
- Added
- 21 Jan 2023
Activity
-
Email opened — "It's been a while"
09 Mar 2025
-
Enrolled in Dormant Reactivation
21 Jan 2023
-
Imported from mailchimp
21 Jan 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 91
Churn risk 67
What's driving likelihood to respond
Engagement history 98
Recency of contact 78
Source quality 92
Profile & loan fit 100
Renewal timing 86
What's driving churn risk
Time since engagement 80
Contact frequency 76
Channel responsiveness 81
Relationship tenure 73
Best send time
Mon 8:00am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.