Customers
GW
Grace Wright
dormantgrace.wright22@example.com · +447600120110
- Source
- mailchimp
- Last contacted
- 06 Jun 2025
- Mortgage renewal
- 23 Apr 2027
- Loan value
- £640,000
- Region
- Midlands
- Added
- 26 Jun 2025
newsletter webinar-2025
Activity
-
Email opened — "It's been a while"
06 Jun 2025
-
Enrolled in Dormant Reactivation
26 Jun 2025
-
Imported from mailchimp
26 Jun 2025
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 31
What's driving likelihood to respond
Engagement history 100
Recency of contact 100
Source quality 100
Profile & loan fit 82
Renewal timing 100
What's driving churn risk
Time since engagement 46
Contact frequency 31
Channel responsiveness 16
Relationship tenure 43
Best send time
Learning…
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.