Customers
GB
Grace Begum
dormantgrace.begum92@example.com · +447701555022
- Source
- mailchimp
- Last contacted
- 20 Mar 2025
- Mortgage renewal
- —
- Loan value
- £427,000
- Region
- Scotland
- Added
- 11 Aug 2024
remortgage no-reply-90d first-time-buyer
Activity
-
Email opened — "It's been a while"
20 Mar 2025
-
Enrolled in Dormant Reactivation
11 Aug 2024
-
Imported from mailchimp
11 Aug 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 84
Churn risk 17
What's driving likelihood to respond
Engagement history 88
Recency of contact 71
Source quality 73
Profile & loan fit 84
Renewal timing 88
What's driving churn risk
Time since engagement 18
Contact frequency 25
Channel responsiveness 26
Relationship tenure 14
Best send time
Thu 9:30am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.