Customers
ZR
Zara Roberts
dormantzara.roberts69@example.com · +447696451299
- Source
- mailchimp
- Last contacted
- 21 Mar 2024
- Mortgage renewal
- 28 Jun 2026
- Loan value
- £445,000
- Region
- London
- Added
- 28 Feb 2023
no-reply-90d
Activity
-
Email opened — "It's been a while"
21 Mar 2024
-
Enrolled in Dormant Reactivation
28 Feb 2023
-
Imported from mailchimp
28 Feb 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 97
Churn risk 45
What's driving likelihood to respond
Engagement history 94
Recency of contact 90
Source quality 93
Profile & loan fit 95
Renewal timing 98
What's driving churn risk
Time since engagement 35
Contact frequency 44
Channel responsiveness 36
Relationship tenure 34
Best send time
Thu 7:00pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.