Customers
DS
David Smith
dormantdavid.smith11@example.com · +447239605561
- Source
- mailchimp
- Last contacted
- 15 Feb 2024
- Mortgage renewal
- —
- Loan value
- £599,000
- Region
- North West
- Added
- 22 Oct 2025
self-employed no-reply-90d renewal-soon
Activity
-
Email opened — "It's been a while"
15 Feb 2024
-
Enrolled in Dormant Reactivation
22 Oct 2025
-
Imported from mailchimp
22 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 96
Churn risk 51
What's driving likelihood to respond
Engagement history 100
Recency of contact 85
Source quality 83
Profile & loan fit 100
Renewal timing 82
What's driving churn risk
Time since engagement 66
Contact frequency 40
Channel responsiveness 66
Relationship tenure 65
Best send time
Sun 5:00pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.