How to Prepare Your Advice Firm for Targeted Support Implementation

Financial advice firms preparing for targeted support implementation need clear planning covering technology, processes, staff capability and compliance frameworks. Preparation should begin now with final FCA rules expected in early 2026.

Implementation Timeline Planning

Firms should structure targeted support preparation in phases aligned with regulatory timelines.

Pre-consultation phase allows firms to assess current capabilities, identify gaps and develop preliminary plans. This groundwork positions organisations to respond quickly when final rules publish.

Policy statement review period follows FCA publication of final rules in early 2026. Firms analyse requirements, compare against consultation proposals and refine implementation plans.

Technology development takes 3 to 6 months covering system selection, integration with existing platforms, testing and staff training. Firms should allow adequate time for thorough development.

Process design and documentation requires 2 to 3 months establishing customer segmentation methodology, suggestion frameworks, quality assurance procedures and compliance oversight.

Staff training needs 4 to 8 weeks ensuring teams understand targeted support requirements, can operate new systems and recognise when customers need escalation to regulated advice.

Pilot testing with limited customer groups validates processes before full launch. Pilots typically run 4 to 8 weeks allowing firms to identify and resolve issues whilst exposure is limited.

Full deployment occurs after successful pilots with phased rollout across customer segments and geographical regions managing implementation risk.

Most firms should plan 9 to 12 months from final rule publication to full operational capability. Early preparation reduces this timeline.

Technology Requirements Assessment

Understanding technology needs forms the foundation of targeted support implementation.

Customer data infrastructure must support segmentation based on characteristics, needs and circumstances. Firms need robust data collection, storage and analysis capabilities.

Segmentation algorithms assign customers to appropriate groups based on defined criteria. These systems may use rules-based logic, machine learning or hybrid approaches.

Decision support systems guide staff through suggestion processes ensuring consistency and compliance. Technology presents appropriate options based on customer segments.

Integration with existing platforms including CRM, back-office systems and document management ensures seamless workflows. Targeted support processes should access necessary information automatically.

Compliance monitoring technology tracks that suggestions remain appropriate, documentation meets standards and outcomes are satisfactory for customer groups.

AI-powered automation can enhance efficiency through automated data extraction, segment assignment and suggestion generation. Purpose-built financial services AI delivers better results than generic tools.

One mid-sized advice firm calculated technology investment of ÂŁ80,000 to ÂŁ120,000 for targeted support capability depending on whether they build custom systems or procure vendor solutions.

Build vs Buy vs Partner Decisions

Firms face strategic choices about how to obtain required technology capabilities.

Building custom systems offers maximum control and tailored functionality but requires significant development resources, technical expertise and ongoing maintenance. Large firms with substantial IT capabilities may build proprietary solutions.

Buying vendor solutions provides faster implementation and proven technology but limits customisation and creates vendor dependencies. Purpose-built targeted support platforms will emerge as the market matures.

Partnering with technology providers offers middle ground where vendors deliver core capabilities whilst firms maintain control of customer relationships and final decisions. Many firms will choose this approach.

Hybrid strategies combine elements using purchased solutions for core functionality with custom development for firm-specific requirements.

Evaluation criteria for vendor solutions include regulatory alignment with FCA targeted support requirements, UK financial services experience, integration capabilities with existing systems, scalability to support growth, support quality and references from current clients.

Customer Segmentation Methodology

Effective targeted support depends on sound customer segmentation approaches.

Segmentation criteria might include age and life stage, investment amount and financial position, goals and objectives, risk tolerance and capacity, product needs and complexity, and geographic location.

Statistical clustering uses data analysis to identify natural customer groups with similar characteristics. This approach discovers segments that may not be obvious through manual analysis.

Rules-based segmentation applies defined logic assigning customers to predetermined groups. Firms establish criteria and create decision trees for segment assignment.

Hybrid approaches combine statistical analysis with business rules leveraging data whilst incorporating regulatory requirements and practical considerations.

Segment validation ensures groups are meaningful, internally consistent and produce good outcomes. Firms test that suggestions appropriate for segments actually meet customer needs.

One wealth manager created eight primary customer segments based on age, assets and goals. Within each segment, they developed standard suggestion frameworks addressing common needs.

Suggestion Development Process

Creating appropriate suggestions for customer segments requires systematic approaches balancing standardisation with flexibility.

Needs analysis identifies common requirements within each segment. Firms research what customers in groups typically need and what outcomes they seek.

Product evaluation assesses which solutions meet segment needs appropriately. Firms consider features, costs, risks and benefits ensuring suggestions are suitable.

Regulatory compliance verification confirms suggestions meet FCA requirements for the product types and customer segments involved. Compliance teams review all suggestion frameworks.

Documentation standards establish how suggestions are presented, what information is included and what disclosures appear. Consistency aids compliance and customer understanding.

Suggestion frameworks provide structure whilst allowing appropriate personalisation. Staff can adapt suggestions based on customer-specific information within segment parameters.

Review and update processes ensure suggestions remain appropriate as products, markets and regulations evolve. Quarterly reviews keep suggestion frameworks current.

Staff Training Requirements

Comprehensive training prepares teams to deliver targeted support effectively.

Regulatory knowledge covers AGBR framework, targeted support requirements and how these differ from regulated advice. Staff must understand what they can and cannot do.

Customer segmentation training teaches how to assess customer information, apply segmentation criteria and assign individuals to appropriate groups accurately.

Suggestion framework familiarity ensures staff understand available options for each segment, can explain suggestions clearly and recognise when customisation is appropriate.

Technology skills enable staff to operate segmentation systems, decision support tools and documentation platforms efficiently.

Escalation recognition helps staff identify when customer situations exceed targeted support scope and require referral to regulated advice. This protects both customers and firms.

Role-playing and scenarios provide practical experience applying targeted support processes to realistic customer situations before live deployment.

Ongoing coaching and development maintain skills as processes evolve and new capabilities emerge.

One firm invested 30 hours per staff member in targeted support training covering regulatory requirements, systems operation and customer interaction skills.

Compliance Framework Development

Robust compliance ensures targeted support meets FCA expectations whilst managing firm risk.

Governance structure defines who approves suggestion frameworks, monitors outcomes and makes decisions about targeted support offerings. Clear accountability prevents compliance gaps.

Quality assurance processes verify that customer segmentation is appropriate, suggestions suit segments and documentation meets standards. Regular sampling identifies issues early.

Outcome monitoring tracks whether customers receiving targeted support achieve satisfactory results. Firms measure satisfaction, complaints and whether suggestions meet needs.

Documentation standards establish what records firms must maintain for segment assignment, suggestions provided and customer outcomes. Comprehensive records support regulatory reviews.

Complaint handling procedures address targeted support complaints fairly and extract learning for process improvement.

Consumer Duty evidence demonstrates that targeted support delivers good outcomes, provides fair value and meets customer needs appropriately for mass market segments.

Regulatory reporting capabilities allow firms to provide information the FCA requests about targeted support activities, outcomes and any issues.

Risk Management Considerations

Implementing targeted support introduces risks requiring management attention.

Mis-segmentation risk occurs when customers are assigned to inappropriate groups. Robust segmentation methodology and quality assurance reduce this risk.

Suggestion inappropriateness happens when recommendations do not suit all customers within segments. Regular outcome monitoring and complaint analysis identify problems.

Technology failures could disrupt targeted support delivery. Business continuity planning and backup processes maintain capability during technical issues.

Regulatory compliance risk emerges if firms misunderstand requirements or implement processes incorrectly. Legal review and compliance expertise mitigate this exposure.

Reputational risk follows from poor customer outcomes or regulatory issues. Strong governance and quality assurance protect firm reputation.

Professional indemnity insurance should cover targeted support activities. Firms should confirm coverage with insurers as this new service category develops.

Business Model Development

Firms must develop viable business models for targeted support that serve customers whilst generating acceptable returns.

Market sizing estimates how many customers firms can reach through targeted support. Analysis considers current customer base, local demographics and competitive landscape.

Pricing strategy balances affordability for mass market consumers with firm profitability. Options include standalone fees, product-embedded charges or subscription models.

Revenue projections model expected income based on market size, conversion rates and pricing. Conservative assumptions manage expectations.

Cost structure covers technology investment, staff time, compliance overhead and ongoing system maintenance. Accurate cost understanding prevents underpricing.

Profitability analysis determines whether targeted support business models are sustainable. Firms need clear understanding of per-customer economics.

Customer acquisition plans identify how firms will reach target audiences. Marketing, partnerships and digital channels attract customers to targeted support services.

One advice network projected break-even at 2,000 targeted support customers with profitability improving as volume grows beyond 3,000 customers annually.

Integration with Existing Services

Targeted support should complement rather than compete with existing advice offerings.

Service tier definition clarifies how targeted support, basic advice and regulated advice serve different customer needs. Clear distinctions prevent confusion.

Referral pathways allow customer movement between service levels as needs evolve. Targeted support customers may transition to regulated advice as circumstances become more complex.

Pricing consistency ensures customers understand value propositions across service tiers. Pricing should reflect different service levels appropriately.

Brand positioning communicates that firms offer comprehensive support meeting various customer needs rather than focusing exclusively on high net worth advice.

Cross-selling opportunities allow firms to introduce additional services appropriately as customer relationships develop and needs expand.

Operational efficiency improves when targeted support and advice use shared infrastructure, data and compliance frameworks where appropriate.

Pilot Programme Design

Testing targeted support with limited scope validates approaches before full deployment.

Pilot scope might include specific customer segments, geographic regions or product types. Limited scope manages risk whilst providing meaningful testing.

Success metrics define what good performance looks like. Firms should establish clear targets for customer satisfaction, outcome quality, efficiency and compliance.

Feedback mechanisms gather input from customers, staff and compliance teams. This information guides refinement before full launch.

Issue resolution processes address problems discovered during pilots. Firms should expect to adjust segmentation, suggestions or processes based on pilot learnings.

Documentation captures pilot results, lessons learned and recommendations for full deployment. This provides evidence for decision making.

Duration of 4 to 8 weeks provides sufficient time to process meaningful customer volumes whilst allowing relatively quick progression to full launch.

Marketing and Customer Communication

Effective communication helps customers understand targeted support and its benefits.

Service explanation clearly describes what targeted support offers, how it differs from regulated advice and what customers can expect. Plain language prevents confusion.

Customer eligibility criteria help individuals understand whether targeted support suits their needs or whether other service levels are more appropriate.

Value proposition emphasises benefits including lower cost, accessibility and appropriate support for straightforward needs.

Expectation management ensures customers understand targeted support limitations and when situations require regulated advice.

Digital marketing reaches mass market audiences cost-effectively through social media, search advertising and content marketing.

Educational content helps consumers understand different support options and make informed choices about appropriate services.

Frequently Asked Questions

How long does targeted support implementation take? Most firms need 9 to 12 months from final rule publication to full operational capability including technology development, process design and staff training.

What does targeted support technology cost? Mid-sized firms should budget ÂŁ80,000 to ÂŁ120,000 for initial technology implementation with ongoing costs of ÂŁ20,000 to ÂŁ40,000 annually.

Can small advice firms offer targeted support? Yes, though technology investment may be proportionally higher. Vendor solutions reduce barriers compared to building custom systems.

How many customers do we need for targeted support to be profitable? Break-even typically occurs at 2,000 to 3,000 customers annually depending on pricing, costs and service scope.

Discover how Aveni enables cost-effective targeted support implementation for advice firms →

Share with your community!

In this article

Related Articles

Aveni AI Logo