The Client Matching Challenge
Asset managers receive financial data from various third-party providers like transfer agents, platforms and distributors. In this data, AUM and Flow are reported on Financial Accounts, which are representations of the client, but they can vary significantly across providers and lack the structured information needed to set asset managers up for success. Unlike the clients in an asset manager's internal master data, these accounts don't provide helpful hierarchical structures for grouping branches and outlets, lack attribution to sales and client service personnel, and miss consistent segmentation attributes such as channel, tier and type.
Client matching bridges this gap by connecting these disparate financial accounts to the asset manager's internal client data, revealing the key organisations and contacts behind each investment decision. This attribution of AUM and Flow to the appropriate clients is crucial for critical business functions like sales compensation, marketing strategy and financial reporting, enabling better decisions across the business.
Client Matching Requires Team Collaboration
Achieving high-level client matching requires participation from multiple stakeholders, as different teams hold unique knowledge about client relationships. For instance, distribution data stewards understand the nuances of data sources, sales managers maintain direct client relationships, and client service teams handle day-to-day account management. Having clear team structures and well-defined responsibilities ensures that each stakeholder can contribute their expertise effectively to the matching process.
How Aiviq addresses the client matching problem
Designing Powerful User Workflows
Aiviq addresses these challenges through our portal interface, built on a global accounts data model that standardises and clarifies account information across different data sources and regions. This standardisation makes it easier for users to identify and match accounts accurately, regardless of their origin.
The platform's flexibility allows asset managers to customise workflows according to their specific needs and team structures. A clear two-step process makes client matching intuitive and accessible for all stakeholders across the organisation. First, users can search and filter accounts based on relevant criteria. Second, they can match their selected accounts to internal client records with confidence, supported by clear validation rules and audit trails.
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Modelling Multiple Client Roles Across the Value Chain
Importantly, Aiviq enables asset managers to match a single financial account to multiple organisations across the distribution value chain. This 'multi-matching' capability allows users to define specific roles for each organisation matched to an account, facilitating simultaneous AUM attribution to end-investors, advisors, platforms, custodians and other relevant parties.
Automating Contact & Organisation Matching Rules
To further streamline the matching process, Aiviq implements automated matching rules based on reliable identifiers. These rules can automatically match accounts where there is high confidence in the correlation, reducing manual effort while maintaining accuracy.
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Business value of client matching
Solving the client matching problem is crucial for modern asset managers. When AUM, Flow and Revenue are properly attributed to known clients, organisations can align their distribution strategy with actual client behaviour, standardise financial reporting across all business units, and empower sales teams to take a more client-centric approach, leading to better-informed business decisions.
Through robust data quality controls, an intuitive matching workflow, and automated matching capabilities, Aiviq helps asset managers significantly reduce the time and effort required to solve their client matching challenges while maintaining the highest standards of accuracy.
