Customers
JL
James Lewis
dormantjames.lewis77@example.com · +447346205888
- Source
- mailchimp
- Last contacted
- 24 Nov 2025
- Mortgage renewal
- 21 May 2026
- Loan value
- £661,000
- Region
- London
- Added
- 03 Jun 2024
renewal-soon
Activity
-
Email opened — "It's been a while"
24 Nov 2025
-
Enrolled in Dormant Reactivation
03 Jun 2024
-
Imported from mailchimp
03 Jun 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 83
Churn risk 66
What's driving likelihood to respond
Engagement history 98
Recency of contact 70
Source quality 87
Profile & loan fit 71
Renewal timing 75
What's driving churn risk
Time since engagement 53
Contact frequency 52
Channel responsiveness 69
Relationship tenure 58
Best send time
Thu 9:30am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.