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Intent Segmentation
Layered a proprietary Intent Scoring Algorithm to separate users into "ready-to-open" vs "research-stage," setting budgets explicitly based on user mindset.
Case Study
Discover how a mid-sized UK challenger bank doubled their customer base at half the investment through intent segmentation, zero-fee affiliate models, and real-time optimisation.
Customer Growth
Scale
Growth
Investment
The Challenge
A mid-sized UK challenger bank was struggling to grow its customer base cost-effectively. Their existing programmatic and affiliate marketing efforts were highly fragmented and expensive.
These generic solutions yielded low conversion rates, high network fees, and provided no real transparency or insight into what was actually driving performance, severely limiting scalable growth.
The Approach
Layered a proprietary Intent Scoring Algorithm to separate users into "ready-to-open" vs "research-stage," setting budgets explicitly based on user mindset.
Moved away from generic networks to build a curated, tiered affiliate network. Eliminated override fees by shifting to a pure pay-on-performance model.
Leveraged AI-powered retargeting to capture bounced traffic with real-time offers, while enabling transparent dashboards for rapid weekly A/B testing.
System Improvements
Ascendia Prime brings together data, media, technology, and customer experience to create a performance-led growth ecosystem designed for scale, clarity, and measurable outcomes.
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