Customers
LR
Luke Roberts
dormantluke.roberts18@example.com · +447586237962
- Source
- mailchimp
- Last contacted
- 21 Aug 2025
- Mortgage renewal
- 04 May 2026
- Loan value
- £556,000
- Region
- South East
- Added
- 27 Sept 2023
high-value
Activity
-
Email opened — "It's been a while"
21 Aug 2025
-
Enrolled in Dormant Reactivation
27 Sept 2023
-
Imported from mailchimp
27 Sept 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 93
Churn risk 65
What's driving likelihood to respond
Engagement history 96
Recency of contact 98
Source quality 84
Profile & loan fit 93
Renewal timing 91
What's driving churn risk
Time since engagement 78
Contact frequency 60
Channel responsiveness 71
Relationship tenure 61
Best send time
Wed 12:00pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.