Customers
LJ
Liam Jones
activeliam.jones78@example.com · +447262102863
- Source
- mailchimp
- Last contacted
- 11 Apr 2026
- Mortgage renewal
- 05 Sept 2026
- Loan value
- £599,000
- Region
- Midlands
- Added
- 08 Oct 2022
Activity
-
Email opened — "It's been a while"
11 Apr 2026
-
Enrolled in Dormant Reactivation
08 Oct 2022
-
Imported from mailchimp
08 Oct 2022
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 81
Churn risk 60
What's driving likelihood to respond
Engagement history 81
Recency of contact 90
Source quality 96
Profile & loan fit 74
Renewal timing 83
What's driving churn risk
Time since engagement 58
Contact frequency 62
Channel responsiveness 66
Relationship tenure 52
Best send time
Wed 12:00pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.