Customers
CD
Charlie Davies
activecharlie.davies51@example.com
- Source
- mailchimp
- Last contacted
- 19 Mar 2026
- Mortgage renewal
- 22 May 2026
- Loan value
- £491,000
- Region
- Scotland
- Added
- 12 Nov 2022
buy-to-let
Activity
-
Email opened — "It's been a while"
19 Mar 2026
-
Enrolled in Dormant Reactivation
12 Nov 2022
-
Imported from mailchimp
12 Nov 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 91
Churn risk 64
What's driving likelihood to respond
Engagement history 94
Recency of contact 83
Source quality 76
Profile & loan fit 100
Renewal timing 77
What's driving churn risk
Time since engagement 64
Contact frequency 66
Channel responsiveness 75
Relationship tenure 55
Best send time
Sun 5:00pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.