Short, evidence-led pieces drawn from the same behavioural data that powers our institutional reports. New analysis published most weeks.
Every financial services firm has the same problem: internal data shows what customers do with you, but nothing about what they do across the market. That blind spot is costing you in product design, retention, and growth.
Asset leakage is one of the most expensive problems in financial services — and one of the hardest to detect with internal data alone. Cross-provider behavioural intelligence gives retention teams the early warning system they need.
Product teams at financial services firms design using internal data — which only shows what existing customers do with them. Cross-provider demand signals reveal what the market actually wants.
The FCA's targeted support regime requires firms to evidence that their consumer segments are built on objective behavioural data — not internal sales patterns. External benchmarking provides the independent evidence base that makes segments defensible.
Our monthly reports give you provider rankings, segment shifts and the underlying tables behind every insight here.
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A practical guide to the external data providers that can support your PS25/22 targeted support compliance. We evaluate the key options by coverage, methodology, regulatory alignment, and actionability.
A practical walkthrough for compliance and product teams building targeted support segments under COBS 9B. From defining characteristics to validating with external data, here is how to build segments the FCA can challenge without finding fault.
A side-by-side comparison of segmentation approaches under COBS 9B. See exactly how segment design differs when built on internal data alone versus validated with cross-provider behavioural evidence.
The FCA's targeted support framework creates an implicit but unavoidable requirement for external benchmarking. Here is the regulatory logic that makes independent market data essential — not a nice-to-have.
Our latest ISA market intelligence reveals significant shifts in capital allocation across Cash and Stocks & Shares ISAs. Transfer intent has risen sharply among younger demographics, with provider switching accelerating ahead of the new tax year.
A detailed look at how Wealth Intelligence cross-provider behavioural data maps directly to the three core requirements of COBS 9B: segment design, segment validation, and outcome benchmarking.
Pension drawdown behaviour is shifting. Our data shows the 4% rule adoption declining as retirees opt for more flexible withdrawal strategies. Tax-free cash usage patterns reveal significant planning opportunities for advisers.
Targeted support is not just a compliance obligation — it is a commercial opportunity. Firms that build intelligent, evidence-based targeted support propositions will attract assets, reduce attrition, and deepen client relationships.
Understanding the full household wealth cycle is critical for advisory firms. Our combined ISA and pension data reveals how UK households are simultaneously building and drawing down wealth, and what this means for AUM protection.
Traditional market research tells you what happened. Behavioural market intelligence tells you what is about to happen. Here is why the distinction matters for wealth management firms competing for AUM in 2026.
Independent Financial Advisers face unique challenges in a consolidating market. Behavioural market intelligence provides the edge IFAs need to compete with larger firms on insight, not just scale.
A deep dive into UK ISA data covering Cash vs Stocks & Shares allocation, transfer patterns, provider market share, and demographic trends. Essential reading for anyone tracking UK retail investment flows.
UK wealth management firms are increasingly turning to behavioural market intelligence to gain competitive advantage. We examine how real-time consumer data is transforming client acquisition, retention, and proposition development across the advisory sector.
New behavioural data on UK household wealth reveals how families are balancing ISA accumulation with pension drawdown. These interconnected financial decisions create both risks and opportunities for wealth managers tracking capital flows.
Behavioural data from UK pension drawdown modelling tools reveals how retirees are actually planning retirement income. The gap between assumed behaviour and real behaviour creates significant advisory opportunities.
High net worth consumers leave distinct behavioural signatures in our data. Understanding these patterns helps wealth managers identify, engage, and retain HNW clients more effectively.