Customers
AB
Adam Brown
dormantadam.brown16@example.com · +447860770958
- Source
- mailchimp
- Last contacted
- 18 Aug 2025
- Mortgage renewal
- —
- Loan value
- £677,000
- Region
- North West
- Added
- 30 Oct 2025
Activity
-
Email opened — "It's been a while"
18 Aug 2025
-
Enrolled in Dormant Reactivation
30 Oct 2025
-
Imported from mailchimp
30 Oct 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 92
Churn risk 77
What's driving likelihood to respond
Engagement history 93
Recency of contact 85
Source quality 96
Profile & loan fit 100
Renewal timing 82
What's driving churn risk
Time since engagement 78
Contact frequency 79
Channel responsiveness 83
Relationship tenure 90
Best send time
Tue 6:30pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.