Customers
SA
Sarah Ali
dormantsarah.ali93@example.com · +447112586316
- Source
- mailchimp
- Last contacted
- 21 Sept 2025
- Mortgage renewal
- 28 Oct 2026
- Loan value
- £655,000
- Region
- South East
- Added
- 22 Apr 2024
buy-to-let no-reply-90d high-value
Activity
-
Email opened — "It's been a while"
21 Sept 2025
-
Enrolled in Dormant Reactivation
22 Apr 2024
-
Imported from mailchimp
22 Apr 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 70
What's driving likelihood to respond
Engagement history 99
Recency of contact 82
Source quality 100
Profile & loan fit 79
Renewal timing 79
What's driving churn risk
Time since engagement 69
Contact frequency 82
Channel responsiveness 85
Relationship tenure 74
Best send time
Sat 10:00am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.