Customers
NA
Noah Ali
activenoah.ali80@example.com
- Source
- mailchimp
- Last contacted
- 23 Feb 2026
- Mortgage renewal
- —
- Loan value
- £579,000
- Region
- London
- Added
- 27 Sept 2022
no-reply-90d remortgage
Activity
-
Email opened — "It's been a while"
23 Feb 2026
-
Enrolled in Dormant Reactivation
27 Sept 2022
-
Imported from mailchimp
27 Sept 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 94
Churn risk 18
What's driving likelihood to respond
Engagement history 84
Recency of contact 100
Source quality 100
Profile & loan fit 100
Renewal timing 100
What's driving churn risk
Time since engagement 6
Contact frequency 17
Channel responsiveness 7
Relationship tenure 14
Best send time
Learning…
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.