Customers
JE
Jack Evans
engagedjack.evans97@example.com · +447175414250
- Source
- mailchimp
- Last contacted
- 26 May 2026
- Mortgage renewal
- 10 Nov 2026
- Loan value
- £481,000
- Region
- North West
- Added
- 06 Oct 2022
high-value remortgage renewal-soon
Activity
-
Email opened — "It's been a while"
26 May 2026
-
Enrolled in Dormant Reactivation
06 Oct 2022
-
Imported from mailchimp
06 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 96
Churn risk 10
What's driving likelihood to respond
Engagement history 82
Recency of contact 89
Source quality 100
Profile & loan fit 84
Renewal timing 82
What's driving churn risk
Time since engagement 17
Contact frequency 6
Channel responsiveness 6
Relationship tenure 6
Best send time
Tue 9:00am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.