Customers
AR
Ava Roberts
dormantava.roberts81@example.com · +447200839024
- Source
- smartr
- Last contacted
- 14 Dec 2025
- Mortgage renewal
- 21 Jan 2027
- Loan value
- £606,000
- Region
- London
- Added
- 21 Aug 2024
Activity
-
Email opened — "It's been a while"
14 Dec 2025
-
Enrolled in Dormant Reactivation
21 Aug 2024
-
Imported from smartr
21 Aug 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 97
Churn risk 83
What's driving likelihood to respond
Engagement history 86
Recency of contact 90
Source quality 100
Profile & loan fit 100
Renewal timing 86
What's driving churn risk
Time since engagement 85
Contact frequency 69
Channel responsiveness 95
Relationship tenure 91
Best send time
Tue 9:00am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.