Customers
EG
Ethan Green
dormantethan.green72@example.com
- Source
- smartr
- Last contacted
- 27 Oct 2024
- Mortgage renewal
- —
- Loan value
- £700,000
- Region
- North West
- Added
- 22 May 2024
renewal-soon buy-to-let
Activity
-
Email opened — "It's been a while"
27 Oct 2024
-
Enrolled in Dormant Reactivation
22 May 2024
-
Imported from smartr
22 May 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 84
Churn risk 31
What's driving likelihood to respond
Engagement history 76
Recency of contact 76
Source quality 76
Profile & loan fit 89
Renewal timing 84
What's driving churn risk
Time since engagement 36
Contact frequency 39
Channel responsiveness 17
Relationship tenure 46
Best send time
Tue 9:00am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.