Customers
EW
Ethan Walker
dormantethan.walker34@example.com · +447867587130
- Source
- mailchimp
- Last contacted
- 14 Mar 2025
- Mortgage renewal
- 18 Sept 2026
- Loan value
- £595,000
- Region
- North West
- Added
- 17 Aug 2023
referral self-employed
Activity
-
Email opened — "It's been a while"
14 Mar 2025
-
Enrolled in Dormant Reactivation
17 Aug 2023
-
Imported from mailchimp
17 Aug 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 93
Churn risk 15
What's driving likelihood to respond
Engagement history 88
Recency of contact 94
Source quality 83
Profile & loan fit 100
Renewal timing 91
What's driving churn risk
Time since engagement 26
Contact frequency 6
Channel responsiveness 28
Relationship tenure 20
Best send time
Thu 9:30am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.