Customers
ZH
Zara Hall
dormantzara.hall99@example.com · +447329834989
- Source
- mailchimp
- Last contacted
- 28 Jul 2024
- Mortgage renewal
- —
- Loan value
- £683,000
- Region
- Midlands
- Added
- 18 Mar 2024
self-employed high-value first-time-buyer
Activity
-
Email opened — "It's been a while"
28 Jul 2024
-
Enrolled in Dormant Reactivation
18 Mar 2024
-
Imported from mailchimp
18 Mar 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 86
Churn risk 68
What's driving likelihood to respond
Engagement history 80
Recency of contact 75
Source quality 71
Profile & loan fit 76
Renewal timing 79
What's driving churn risk
Time since engagement 83
Contact frequency 74
Channel responsiveness 55
Relationship tenure 77
Best send time
Tue 9:00am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.