Customers
DS
David Smith
dormantdavid.smith87@example.com · +447885775738
- Source
- manual
- Last contacted
- 14 Nov 2025
- Mortgage renewal
- 12 Nov 2027
- Loan value
- £641,000
- Region
- Midlands
- Added
- 22 Jul 2024
no-reply-90d
Activity
-
Email opened — "It's been a while"
14 Nov 2025
-
Enrolled in Dormant Reactivation
22 Jul 2024
-
Imported from manual
22 Jul 2024
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 93
Churn risk 91
What's driving likelihood to respond
Engagement history 78
Recency of contact 86
Source quality 83
Profile & loan fit 100
Renewal timing 95
What's driving churn risk
Time since engagement 100
Contact frequency 82
Channel responsiveness 80
Relationship tenure 99
Best send time
Sat 10:00am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.