Customers
TW
Thomas Wright
dormantthomas.wright82@example.com · +447678243541
- Source
- smartr
- Last contacted
- 16 Nov 2025
- Mortgage renewal
- —
- Loan value
- £543,000
- Region
- North West
- Added
- 04 Apr 2023
Activity
-
Email opened — "It's been a while"
16 Nov 2025
-
Enrolled in Dormant Reactivation
04 Apr 2023
-
Imported from smartr
04 Apr 2023
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 10
What's driving likelihood to respond
Engagement history 89
Recency of contact 93
Source quality 87
Profile & loan fit 100
Renewal timing 87
What's driving churn risk
Time since engagement 6
Contact frequency 23
Channel responsiveness 20
Relationship tenure 6
Best send time
Wed 12:00pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.