Customers
CA
Charlie Allen
dormantcharlie.allen7@example.com · +447157198206
- Source
- smartr
- Last contacted
- 12 Dec 2024
- Mortgage renewal
- 03 Jul 2026
- Loan value
- £715,000
- Region
- London
- Added
- 01 Nov 2023
webinar-2025 renewal-soon no-reply-90d
Activity
-
Email opened — "It's been a while"
12 Dec 2024
-
Enrolled in Dormant Reactivation
01 Nov 2023
-
Imported from smartr
01 Nov 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 75
Churn risk 22
What's driving likelihood to respond
Engagement history 66
Recency of contact 85
Source quality 81
Profile & loan fit 71
Renewal timing 66
What's driving churn risk
Time since engagement 15
Contact frequency 34
Channel responsiveness 23
Relationship tenure 37
Best send time
Wed 12:00pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.