Customers
PE
Priya Evans
dormantpriya.evans40@example.com · +447761637635
- Source
- mailchimp
- Last contacted
- 08 Jul 2024
- Mortgage renewal
- 11 May 2026
- Loan value
- £592,000
- Region
- Midlands
- Added
- 18 Aug 2023
referral
Activity
-
Email opened — "It's been a while"
08 Jul 2024
-
Enrolled in Dormant Reactivation
18 Aug 2023
-
Imported from mailchimp
18 Aug 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 90
Churn risk 91
What's driving likelihood to respond
Engagement history 84
Recency of contact 77
Source quality 75
Profile & loan fit 80
Renewal timing 92
What's driving churn risk
Time since engagement 88
Contact frequency 97
Channel responsiveness 100
Relationship tenure 85
Best send time
Sat 10:00am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.