Customers
DH
Daniel Hughes
dormantdaniel.hughes9@example.com · +447982742657
- Source
- mailchimp
- Last contacted
- —
- Mortgage renewal
- 25 Aug 2026
- Loan value
- £654,000
- Region
- North West
- Added
- 07 Dec 2025
newsletter high-value renewal-soon
Activity
-
Email opened — "It's been a while"
—
-
Enrolled in Dormant Reactivation
07 Dec 2025
-
Imported from mailchimp
07 Dec 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 86
Churn risk 22
What's driving likelihood to respond
Engagement history 98
Recency of contact 87
Source quality 94
Profile & loan fit 78
Renewal timing 90
What's driving churn risk
Time since engagement 12
Contact frequency 10
Channel responsiveness 16
Relationship tenure 7
Best send time
Sun 5:00pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.