Building Society Acquisition Intelligence System
The Challenge
FinBridge was operating blind to 90% of market opportunities, missing 8.7 million in potential revenue over 18 months due to a 100% referral dependency.
They had zero visibility into which building societies were evaluating technology options and often identified opportunities 6-12 months later than competitors.
This resulted in an unpredictable pipeline where sales forecasts were essentially 'hope for more referrals'.
The Solution
I designed a comprehensive AI-powered platform to systematically monitor, identify, and engage building societies. The system collects intelligence from 15+ sources including job postings, news, and Companies House data. It uses a 34-signal intent prediction model to identify prospects in buying windows and automates multi-channel outreach via HubSpot.
Key Architecture Components
Full Case Study
Download the detailed PDF report including architecture diagrams and full data.
Download PDFBusiness Impact
- 10x increase in prospect pipeline (25-35 qualified prospects/quarter)
- 3.6M - 6.0M additional annual recurring revenue projected
- 680% ROI over 24 months
- 50% reduction in sales cycle length