Customers
AW
Aisha Williams
dormantaisha.williams10@example.com · +447336931696
- Source
- mailchimp
- Last contacted
- 09 Mar 2025
- Mortgage renewal
- 28 Nov 2026
- Loan value
- £567,000
- Region
- South East
- Added
- 10 Aug 2023
referral high-value self-employed
Activity
-
Email opened — "It's been a while"
09 Mar 2025
-
Enrolled in Dormant Reactivation
10 Aug 2023
-
Imported from mailchimp
10 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 77
Churn risk 37
What's driving likelihood to respond
Engagement history 72
Recency of contact 82
Source quality 78
Profile & loan fit 73
Renewal timing 62
What's driving churn risk
Time since engagement 32
Contact frequency 29
Channel responsiveness 38
Relationship tenure 29
Best send time
Mon 8:00am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.