Customers
PT
Priya Thomas
dormantpriya.thomas53@example.com · +447800414024
- Source
- mailchimp
- Last contacted
- 05 Apr 2025
- Mortgage renewal
- 19 Apr 2026
- Loan value
- £690,000
- Region
- South East
- Added
- 05 Jan 2026
webinar-2025 first-time-buyer
Activity
-
Email opened — "It's been a while"
05 Apr 2025
-
Enrolled in Dormant Reactivation
05 Jan 2026
-
Imported from mailchimp
05 Jan 2026
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 80
Churn risk 68
What's driving likelihood to respond
Engagement history 71
Recency of contact 91
Source quality 94
Profile & loan fit 66
Renewal timing 89
What's driving churn risk
Time since engagement 64
Contact frequency 59
Channel responsiveness 70
Relationship tenure 71
Best send time
Tue 9:00am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.