Customers
AC
Amelia Clarke
engagedamelia.clarke58@example.com · +447954315967
- Source
- mailchimp
- Last contacted
- 20 Feb 2026
- Mortgage renewal
- 08 Aug 2026
- Loan value
- £510,000
- Region
- Midlands
- Added
- 19 Feb 2024
no-reply-90d self-employed newsletter
Activity
-
Email opened — "It's been a while"
20 Feb 2026
-
Enrolled in Dormant Reactivation
19 Feb 2024
-
Imported from mailchimp
19 Feb 2024
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 92
Churn risk 15
What's driving likelihood to respond
Engagement history 99
Recency of contact 100
Source quality 100
Profile & loan fit 91
Renewal timing 80
What's driving churn risk
Time since engagement 13
Contact frequency 15
Channel responsiveness 29
Relationship tenure 27
Best send time
Tue 6:30pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.