When meeting and consulting with clients, most investment data specialists refer to 5 datasets managers need to populate in their investment database profiles:

Performance, AUM, Holdings, Characteristics, and Personnel. These are the quantitative datasets. And yes, they are each very important.

However, we at APX Stream believe there are, in fact, 7-9 datasets for which managers need to account. These additional datasets include the qualitative narrative sets: Firm & Product Narratives, Firm & Product Personnel.

But it’s not simply a matter of checking these items off a list every quarter – to successfully execute a professional investment data marketing strategy, managers need to understand, not only the range of data points contained within each set, and account for them accordingly, but how they all work together to create a cohesive, data-driven story for your firm.

All the pieces must fit, and do so in a way that entices database subscribers (i.e. your future clients & investors) to pick up the phone or dash off an email inquiring about your portfolio management services.

So how should these pieces fit together and what are some ideas managers can employ to help improve their data marketing execution?

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