Customers
DC
David Cooper
dormantdavid.cooper82@example.com · +447436949144
- Source
- smartr
- Last contacted
- 22 Aug 2025
- Mortgage renewal
- 08 Nov 2027
- Loan value
- £668,000
- Region
- London
- Added
- 10 Apr 2024
buy-to-let
Activity
-
Email opened — "It's been a while"
22 Aug 2025
-
Enrolled in Dormant Reactivation
10 Apr 2024
-
Imported from smartr
10 Apr 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 91
Churn risk 23
What's driving likelihood to respond
Engagement history 84
Recency of contact 87
Source quality 100
Profile & loan fit 84
Renewal timing 84
What's driving churn risk
Time since engagement 28
Contact frequency 28
Channel responsiveness 15
Relationship tenure 22
Best send time
Thu 7:00pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.