EV Calls for Data-driven Two-step Approach to FCA’s Targeted Support to Deliver Better Consumer Outcomes
By Dominic Sow · 31 August 2025

Following the close of the Financial Conduct Authority (FCA) consultation period on Targeted Support, EV today released its formal response, highlighting the critical role of data-driven tools in delivering effective, personalised support for consumers. The response builds on EV's long-held position that Targeted Support has the potential to significantly benefit consumers, provided it is implemented through a robust, two-step process that combines sophisticated segmentation with a comprehensive guidance framework.
The path to better outcomes: A two-step approach
In its response to the earlier CP24/27, EV emphasised two key conclusions that have guided its development of Targeted Support solutions:
- The data dilemma: Ensuring that "ready-made" suggestions lead to better consumer outcomes requires a multitude of data points. This presents a dilemma, as collecting more consumer data creates smaller, more specific segments.
- A two-step process: Targeted support is most effective when delivered as a two-step process involving robust consumer segmentation followed by the provision of a comprehensive modeller and guidance tools.
- Current age and retirement age
- Fund value
- Client’s risk profile
- Marital status (single or couple)
- Location (e.g., inside or outside London)
- Housing status (renter or non-renter)
- Other income sources (e.g. DB pension, state pension)
- Existing savings (e.g. cash or ISA)
- Proactive support: Firms can run the API on their entire book of business to identify customers who may be off-track in their plan. For example, a firm could identify all customers over the age of 50 whose current contributions and fund value are not projected to provide a sustainable retirement income vs Retirement Living Standards. This allows for proactive intervention before problems arise.
- Reactive support: EV’s solution also supports a reactive approach. When a customer takes a specific action, such as taking tax-free cash at age 55 without realising the full implications for their retirement, a firm can use the API to provide targeted, outcome-based guidance. The system can provide real-world insights, such as "people in your circumstances left their cash in their pension and this is what happened," enabling a more powerful, outcome-focused conversation.
Companies in this story: EV
People in this story: Chet Velani