Jackson Analytics, LLC
Investment Management Data Marketing

Investment Management Data Marketing

Jackson Analytics Data Marketing and Distribution helps investment management firms effectively market the only thing they actually produce: data. Using our proprietary Data Vault, investment mangers have a bridge to access all the major investment databases.


Investment Management Data Marketing:

Helping Future Clients Find You Today

Why are Investment Databases an Essential Tool?

Because Data is the Catalyst for Sales & Marketing Success

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Want to Market Your Portfolio?
Then Market Your Data.

Data has become the underappreciated catalyst for the investment management sales & marketing process.

Investment management data marketing is strategically using your firm’s data to add clients and grow AUM.

Data is the only tangible evidence substantiating your firm’s narrative. In days past, relationships between manager and investor drove the investor to look at the data.

Because the top responsibility consultants now have is to search for and assess data, it’s the data that drives the investor to the relationship.

So it follows that investment managers need to actively market their data.

Investment management data marketing is a 5-step methodology that helps managers to tell its story; one that effectively conveys their practical, real-world value to clients and prospects.



Data is Your Secret Weapon

Before we begin, understand that investment management firms produce exactly one thing, and one thing only:


The data your firm generates is the meaningful evidence of who you are, what you do, and how effective you are as a portfolio manager.

Data can answer many of the important questions investment managers have about their business, competitive position, and marketing strategy. Answering these kinds of questions requires a strategy for managing data in a way that enables a tactical approach to investment management marketing:

  • Where should we be distributing our data?

  • Does product AUM substantiate our firm’s AUM?

  • How do we compare to our benchmarks and peer group?

  • Which of our products are growing by new sales and by client retention?

  • Which data points should we be emphasizing, based on our narrative?

  • How should we display and promote our data, with compliance in mind?

  • Are databases the only place where our data can work for us?

  • When we underperform, does data help or hurt our marketing efforts?

Firms who can answer these questions know themselves very well, and are thus well on their way to data marketing success.

Investment management data marketing entails five essential components which enable your firm to employ data to its best effect:


Assembly | Warehousing | Reconciliation | Digital Distribution | Collateral Distribution

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  1. Assembly

Investment managers should have a reliable, repeatable process for generating and organizing quantitative and qualitative data sets.

The important data sets include:

  • Performance track record

  • Portfolio holdings & characteristics

  • Accurate AUM

  • Personnel

  • Business profiles to show that you’re qualified, accredited, & solvent

  • Narratives for both your firm and its products & vehicles

For most firms, raw data is transmitted by their custodian directly to the investment manager’s servers. But upon delivery, there is often a great deal of inconsistency in the ways in which that data is then handled.

What’s important to understand is that in the Assembly phase, all investment managers must have easy access to each and every one of these data sets if they hope to position themselves for sales & marketing success.


Best Practices:

Data acquisition must be thorough and follow a consistent procedure

Data should be formatted for distribution immediately. Don’t let it sit.



2. Warehousing

Firms should have set procedures in place which ensure that the portfolio data is compiled and stored on a regular monthly & quarterly basis.

A typical procedure often looks something like this:

  1. Data is obtained from the custodian,

  2. Is exportable from a web-based system into individual excel spreadsheets,

  3. These spreadsheets are then stored on a firm’s common drive,

  4. Qualitative data (firm and product/vehicle narratives, for example) is nothing more than a collection of word documents saved in a separate folder.

In essence, the data warehousing system for most investment managers are file folders with a collection of documents that have to be opened separately, and viewed individually.

Under such a system, many managers find it difficult to immediately understand exactly where the firm stands, and whether or not the narratives actually reflect the firm’s current strategy and/or process.

Managers could invest in a costly SQL database to house their data, but many instead choose to simply upload their data to one of the public industry databases and use that as their default data warehouse.

But in the long run, warehousing data on a public database is a terrible practice that does serious damage to your topline marketing effort because:

  1. Storing private, proprietary, confidential data on a publicly-available database compromises your competitiveness against your peers;

  2. Databases aren’t connected to each other. Siloing your data in one database severely curtails access to your data by prospective investors;

  3. If you (rightfully) want to upload your data to other databases, it requires a data download, insertion into new templates, and re-uploading to the other databases; a process fraught with opportunity for error.


Best Practices:

Automation and a streamlined process from custodian to warehouse is highly recommended.

Centralize your portfolio data either in-house or with a trusted partner that can easily connect your data to a broad range of industry databases.

Responsibility for managing your data should shared within the firm, and not tasked to one data liaison.

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3. Reconciliation

Data warehousing and reconciliation go hand-hand.

After all, most managers can relate to the frustration of trying to reconcile:

  • 30 data points

  • Across 9 open spreadsheets

  • For the 3 individual months in a quarter

  • Across multiple quarters.

So unless the data is stored in a way that’s orderly, logical, and facilitates reconciliation, managers can easily find themselves with a dataset that’s incorrect and thus unrepresentative of the firm’s performance.

For even the smallest of firms, the job of reconciling a portfolio or two can be an extremely intimidating endeavor. But not doing so isn’t an option. Data must be reconciled.

For larger firms, with the custodian delivering raw data sets for multiple portfolios across several time periods, the complexity and the opportunity for error grows exponentially.

Because of the complexity and detail involved in a professional data reconciliation system, it is helpful for smaller firms (and vital for larger ones) to ensure the data is well-organized and easily managed.

Jackson Analytics Best Practices

Best Practices:

Create a manual clearly spelling out in detail how raw data is to be handled upon receipt.

Where human interaction is unavoidable (i.e.: no automation), make sure data is reviewed by multiple team members to minimize human error - fresh eyes are essential.


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4. Database Distribution

Data marketing is the least expensive, most cost-effective, and efficient marketing channel available to investment managers.

Here’s where the rubber hits the road: your data has been received, warehoused, and reconciled. You then need timely distribution to the relevant investment databases.

For the vast majority of managers who choose to handle data distribution internally, the reconciled data for each product or vehicle has to be hand-entered into each individual field, or input into each database’s individual template.

So if a firm has:

50 vehicles,
in 5 industry databases,
Each with a minimum of 2,000 fields:

It requires at least 15 million individual mouse clicks to maintain a complete set of database profiles every quarter.

Once the data is uploaded, it has to be reconciled again, across each profile, to ensure the data transfer occurred without incident. If your data is not consistent across every database profile you have, consultants will notice.

And if the quality of your data is questionable, consultants can’t work with you. Period.

Don’t forget about the qualitative data sets that industry databases request, either.

Because product and firm narratives tend to be bland and largely evergreen, they are often uploaded then forgotten. Understand that qualitative data isn’t optional. The fields need to be fully completed and reviewed no less than annually.


Best Practices

Know where your ideal clients are conducting manager searches & make sure your profiles can be found easily

Automate as much as the process as possible - the more human interaction there is with your data, the greater the chance for error

Complete qualitative fields and review annually



5. Collateral Distribution

Marketing collateral is not just a tool; it’s the tool, you use to sell your firm, so ensure all your collateral has been updated with the most recent data.

Data-driven marketing collateral are what enables the transition from marketing to sales. It’s all about positioning.

Sales meetings are what data marketing is designed to produce: success in the digital realm creating opportunity in the real world.

From a topline marketing perspective, investment managers can only maintain credibility when the data it creates substantiates their marketing narratives.

For this reason, data consistency and reliability is a deeply important credibility issue for investment management firms. Your must ensure all data, qualitative and quantitative, is consistent across every platform in which your firm is represented.

It’s of central importance in the manager selection process, as data has become, far and away, the most important component of manager selection. Why?

The broad availability of quantitative data, coupled with rigid investment policy statements have displaced traditional relationship-based marketing.

Relationships used to drive the marketing and sales process; now its the data that does so.

The sales cycle has lengthened considerably (now encompassing 6-10 meetings over a 12-18 month period) as consultants, institutional investors, and professional investors of all stripes now devote the bulk of their time assessing investment data.

This new sales cycle now means that managers can no longer use the same pitch book or fact sheet for a year and a half and expect a consultant to engage with renewed interest every meeting. You now need a diverse library of collateral to keep each encounter fresh and interesting.


Best Practices

Immediately update & send collateral to existing clients & prospects

If compliance allows, put collateral on the website & update immediately

Position data to highlight favorable areas of comparison

Ensure collateral design puts your firm in the best possible light

Ready to learn more about how Jackson Analytics helps clients to market their data and grow AUM?

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