How to Segment Allocators by Mandate: A Practical Guide for Alternative Asset Managers

Why Sorting by AUM Is Not Segmentation

When most alternative asset managers build a target list, they start with two variables: AUM and geography. They filter for RIAs above a certain AUM threshold within a set of target states, export the list, and call it a segment.

This is better than nothing. But it misses the question that actually drives capital formation: does this allocator have a mandate that aligns with your fund?

A $2 billion RIA that allocates 0% to alternatives is not a prospect for your private credit fund — regardless of how large they are or how close their office is to yours. A $400 million family office that allocates 25% to alternatives and has made two private credit commitments in the past 18 months is a high-probability target — even if they are three time zones away.

AUM tells you the size of the institution. Mandate tells you whether they will consider your fund. Segmentation without mandate alignment is just a big list with a filter applied.

The Five Segmentation Dimensions That Actually Matter

Effective allocator segmentation uses at least five dimensions. AUM and geography are two of them, but they are the least predictive. The dimensions that correlate most strongly with capital deployment are mandate-related.

AUM and geography still matter — but as filters, not as segments. You filter out allocators below your minimum AUM threshold and outside your serviceable geography. Then you segment the remaining universe by the five dimensions above.

How to Build Mandate-Based Segments

Here is a practical workflow for building allocator segments that reflect mandate alignment rather than just size and location.

Step 1: Define your fund's allocator profile

Before you segment allocators, you need to define what a good allocator looks like for your specific fund. This is the mirror image of a customer persona in SaaS — except the "customer" is an institution making a capital commitment, not a user buying a software license.

Your allocator profile should specify:

• ›Minimum alternatives allocation: What percentage of AUM in alternatives makes an allocator viable? For most alternative fund managers, 5% is the floor. Below that, the allocator is unlikely to have a process for evaluating your fund.
• ›Strategy match: Which specific strategies does your fund compete in? Private credit, PE buyout, growth equity, venture, real estate, hedge fund — be specific. "Alternatives" is too broad.
• ›Ticket size range: What is the minimum and target commitment size? This determines the AUM threshold — an allocator needs enough AUM that your target ticket size represents a reasonable allocation.
• ›Acceptable allocator types: Which institution types are you equipped to serve? RIAs and family offices have different diligence processes than endowments and pensions. Be honest about where your IR team has the relationships and materials to succeed.

Step 2: Source the data

Allocator segmentation is only as good as the data behind it. The strongest foundation is SEC Form ADV because it provides verified alternatives allocation percentages, client type breakdowns, fee structures, and custodian relationships — all filed under penalty of false statement.

Form ADV alone is not sufficient for full segmentation. You will likely supplement it with:

• ›Proprietary databases (AdvizorPro, FINTRX, Dakota) for contact intelligence, engagement signals, and family office depth
• ›Conference and event data for deployment readiness signals
• ›CRM activity data for engagement scoring on allocators already in your pipeline
• ›Public announcements for recent commitment activity

The key principle: regulatory data for firmographics, proprietary data for enrichment, CRM data for engagement. No single source covers all five segmentation dimensions.

Step 3: Build the segments

With your allocator profile defined and data sourced, build three to five segments based on mandate alignment. Here is a framework that works for most alternative fund managers:

The specific criteria will vary by fund strategy and AUM. The principle stays the same: segments should reflect mandate alignment, not just firmographic characteristics.

Step 4: Install segments into your CRM

Segments are useless if they live in a spreadsheet. They need to be installed into your CRM as a structured property on every allocator record — so that pipeline views, dashboards, sequences, and rep assignments can all be filtered by segment.

In HubSpot or Salesforce, this means:

• ›A custom property (e.g., "Allocator Segment") with values matching your tier definitions
• ›Automated assignment rules based on scoring inputs (alternatives allocation %, strategy match, AUM)
• ›Pipeline views filtered by segment so reps see their Tier 1 allocators first
• ›Reporting that breaks down pipeline value and conversion rates by segment
• ›Sequence enrollment rules that match outreach cadence to segment priority

If your CRM does not support this level of segmentation, the architecture needs to be upgraded before segmentation can be operationalized. This is exactly what a purpose-built CRM architecture is designed to enable.

Where Most Segmentation Efforts Break Down

Even firms that attempt mandate-based segmentation often fail at one of three points:

Segmentation and Scoring Work Together

Segmentation and scoring are not the same thing, and one does not replace the other.

Segmentation is a classification exercise. It groups allocators into tiers based on mandate alignment and firmographic fit. It determines which pool an allocator belongs to.

Scoring is a prioritization exercise. It ranks allocators within a segment based on a combination of fit, engagement, and deployment readiness. It determines where within the pool to focus attention right now.

A Tier 1 allocator with a Probability Score of 85 is your highest-priority relationship. A Tier 1 allocator with a Probability Score of 40 is still a good fit but may not be ready to deploy — the mandate aligns, but engagement or timing signals are weak. Both are in the same segment. The score tells you to allocate senior bandwidth to the first and structured nurture to the second.

This is why CRM architecture matters. A CRM that supports both segment-level filtering and score-level prioritization gives your team the complete operating picture. One without the other creates blind spots.

Getting Started

If your current allocator list is segmented by AUM and geography alone, here is the fastest path to mandate-based segmentation:

• ›Pull alternatives allocation percentages from Form ADV. This single data point will immediately reveal which allocators on your list actually invest in alternatives — and which are zero-allocation firms that will never consider your fund.
• ›Define your allocator profile. Be specific about strategy match, ticket size range, and acceptable allocator types. Write it down. Share it with the team.
• ›Build three tiers. Start simple: High Fit, Moderate Fit, and Nurture. You can add complexity later. The first version does not need to be perfect — it needs to be operational.
• ›Install the segments in your CRM. Create the property, assign the values, filter your pipeline views. If your CRM cannot support segment-level filtering, that is the infrastructure gap to fix first.

The goal is not to build the perfect segmentation model on day one. The goal is to stop treating every allocator on your list as equally likely to deploy — because they are not, and your team's time is the most constrained resource in the fundraise.