Customers
DJ
David Jones
activedavid.jones1@example.com · +447873392690
- Source
- mailchimp
- Last contacted
- 01 Apr 2026
- Mortgage renewal
- —
- Loan value
- £506,000
- Region
- Scotland
- Added
- 11 Nov 2023
high-value
Activity
-
Email opened — "It's been a while"
01 Apr 2026
-
Enrolled in Dormant Reactivation
11 Nov 2023
-
Imported from mailchimp
11 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 92
Churn risk 79
What's driving likelihood to respond
Engagement history 80
Recency of contact 80
Source quality 82
Profile & loan fit 91
Renewal timing 80
What's driving churn risk
Time since engagement 85
Contact frequency 91
Channel responsiveness 94
Relationship tenure 75
Best send time
Wed 12:00pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.