Customers
LW
Lily Walker
engagedlily.walker21@example.com · +447358815733
- Source
- mailchimp
- Last contacted
- 13 Jun 2026
- Mortgage renewal
- 10 Sept 2026
- Loan value
- £492,000
- Region
- North West
- Added
- 05 Feb 2025
high-value remortgage
Activity
-
Email opened — "It's been a while"
13 Jun 2026
-
Enrolled in Dormant Reactivation
05 Feb 2025
-
Imported from mailchimp
05 Feb 2025
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 90
Churn risk 9
What's driving likelihood to respond
Engagement history 77
Recency of contact 100
Source quality 100
Profile & loan fit 78
Renewal timing 90
What's driving churn risk
Time since engagement 6
Contact frequency 13
Channel responsiveness 9
Relationship tenure 7
Best send time
Thu 9:30am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.