Expert Networks: The Complete Guide for Investment Professionals

Expert networks connect investment professionals with industry specialists who can provide insights on markets, companies, and sectors. They've become standard infrastructure in institutional investing, processing over 45 million consultations globally in 2025.

This guide breaks down how expert networks work, what they cost, and how to use them without wasting time or money on the middleman model that dominates the industry.

What Expert Networks Actually Are

An expert network is a service that connects investors with people who have specific industry knowledge. You submit a request describing what you need to know, and the network finds someone who can answer your questions.

The model is straightforward: you pay the network, they pay the expert a portion of that fee, and you get access to a phone call or written consultation.

The product is access, not answers.

You still need to vet the expert, prepare questions, conduct the interview, take notes, verify claims, and synthesise the information into something you can use in an investment decision. The expert network handles introductions and scheduling. Everything else sits with your team.

Who Uses Expert Networks

Expert networks started with hedge funds in the late 1990s, but adoption has spread across the entire investment industry.

Primary users include:

• Hedge funds and asset managers conducting sector research and trade diligence
• Private equity firms running commercial due diligence on acquisition targets
• Venture capital teams validating market size and competitive dynamics
• Investment banks supporting M&A and capital markets transactions
• Strategy consultants building industry analyses for clients
• Corporate development teams researching markets and competitors

About 4,500 firms use expert networks regularly. Seventy percent of industry revenues now come from outside public equity, with private equity and consulting representing the fastest-growing segments.

The shift reflects how primary research has moved from a hedge fund tool to standard practice across institutional capital allocation.

How Expert Networks Evolved

The modern expert network industry began in 1998 when GLG launched in New York. The model was simple: build a database of former executives and industry specialists, then charge investors for phone access.

Early networks were all founded by people with buyside backgrounds:

• GLG (1998)
• Vista Research (2001)
• Coleman Research (2003)
• Guidepoint (2003)
• Primary Insight (2005)

These firms built proprietary rolodexes offline, screening and categorising experts manually. The process was labour-intensive, but the value proposition was clear: investors needed industry insight, and networks could deliver it faster than hiring consultants or running their own outreach.

The 2008 financial crisis changed the industry in two ways.

First, LinkedIn exploded, making it easier to identify and recruit specialists without maintaining expensive proprietary databases. Networks shifted from subscription models to custom recruiting for each project.

Second, insider trading prosecutions involving expert networks forced the industry to implement compliance infrastructure. Since August 2009, at least 70 people have been charged with insider trading by the Manhattan U.S. Attorney's office, with several cases leading directly to expert network firms.

The scandals didn't kill the industry. They professionalised it.

Today's expert networks run compliance checks, record calls, and maintain blacklists to reduce the risk of material non-public information (MNPI) breaches. Expert networks facilitate over a million client calls per year, and compliance violations are rare when proper procedures are followed.

The Business Model: How Expert Networks Make Money

Expert networks use two revenue models: pay-per-use and subscription.

Pay-per-use dominates the market. You pay per hour of consultation, with rates determined by the expert's seniority and the network's "credit" pricing structure. The network keeps 50-70% of what you pay and passes the rest to the expert.

Typical pricing includes:

• $700-$900 per hour for senior executives and former VPs
• $900-$1,200 per hour for C-suite executives
• $1,200-$1,800+ per hour for prominent CEOs and industry leaders

Average fees start at $1,000 per hour, though rates can reach $5,000 per hour for premium experts. Meanwhile, the experts themselves receive consulting rates starting at $100 per hour.

The gap between what you pay and what the expert receives is the middleman margin.

Subscription models offer unlimited or bundled consultations for a fixed annual fee, but most networks have moved away from this structure because pay-per-use generates higher margins and scales better with client demand.

Networks have also expanded beyond one-on-one calls. Surveys, transcripts of previous consultations, and market research reports now represent significant revenue streams. Some firms promote research capabilities more heavily than telephone consultations, reflecting how the product has evolved from pure access to something closer to finished intelligence.

The problem is that most of the work still sits with the client.

How to Use Expert Networks Effectively

Expert networks work best when you treat them as a sourcing tool, not a research product. You're buying access to a person, not a verified answer.

Here's how to get value without wasting time or money:

1. Write a Tight Brief

Your brief determines the quality of the expert you'll speak with. Vague requests produce generic experts. Specific requests produce specialists who can actually move your thinking.

Include:

• The exact question you need answered
• The context for your decision (trade thesis, deal diligence, market entry)
• The profile of the ideal expert (role, company type, geography, time period)
• What you already know and what gaps remain

The network will use this to search their database and recruit new experts if needed. The more precise your brief, the less time you'll waste on mismatched calls.

2. Vet the Expert Before the Call

Expert networks provide a CV or profile, but you need to verify it matches your needs. Check LinkedIn, confirm the person held the role they claim, and make sure their experience aligns with your timeline.

About 40% of expert calls turn out to be useless because the expert is off-target, vague, or recycled from a shared database. Vetting reduces that waste.

3. Prepare Structured Questions

You have 60 minutes. Don't waste time on background you can find in a 10-K or on the company website.

Focus on:

• Information you can't get elsewhere
• Verification of hypotheses you're testing
• Specific data points that change conviction, sizing, or timing

Write your questions in advance. Structure them to build from broad context to specific claims you can verify later.

4. Record and Verify Everything

Most networks offer call recording and transcription. Use it. You'll miss details in real time, and you'll need the transcript to verify claims before putting them in a memo or model.

Cross-reference key claims with other sources. If an expert says a competitor is losing share, find data that confirms or contradicts it. If they cite a number, check whether it's public, estimated, or based on their direct experience.

Investment-grade research requires verification. Access calls don't come with it built in.

5. Track Your True Cost Per Useful Insight

The sticker price is $1,000-$1,200 per call. The real cost includes analyst time spent vetting, scheduling, interviewing, note-taking, and verifying.

If 40% of calls are useless, and each useful call requires 2-3 hours of analyst time beyond the interview itself, your cost per useful insight is closer to $2,000.

Track this. It will show you where the middleman tax is highest and where you should consider alternatives.

The Problems with the Expert Network Model

Expert networks solve a real problem: investors need industry insight, and networks can find specialists faster than most teams can on their own.

But the model has structural issues that quietly tax returns.

1. Recycled Experts

Networks claim to offer "custom" recruiting, but many experts appear across multiple databases. You're often speaking with the same people your competitors have already called, which limits the edge you can extract.

The incentive structure encourages this. Networks get paid per call, so reusing experts who are already vetted and willing to take calls is more profitable than recruiting fresh specialists for each project.

2. Misaligned Incentives

Expert networks optimise for volume, not accuracy. They make money when you book calls, regardless of whether those calls produce useful insight.

This creates predictable problems: experts who sound good on paper but can't answer your specific questions, calls that drift into generic industry commentary, and a steady stream of "maybes" that don't move conviction.

3. The Admin Burden

Analysts spend roughly 14 hours per month on expert network logistics: writing briefs, reviewing profiles, scheduling calls, conducting interviews, chasing transcripts, and synthesising notes.

That's time not spent on analysis, modelling, or making investment decisions. It's also time you're paying for twice: once in salary, once in the opportunity cost of what else that analyst could be doing.

4. Compliance Risk

You carry the compliance exposure. Networks provide guardrails, but you're the one on the call, and you're responsible for ensuring no MNPI changes hands.

Most compliance breaches are avoidable, but the risk sits with the client, not the network. That's a feature of the access model, not a bug.

What Investment-Grade Primary Research Looks Like

Expert networks are infrastructure, not research. They connect you with people, but they don't deliver finished intelligence.

Investment-grade primary research requires:

• Fresh, correctly profiled experts recruited specifically for your question, not recycled from a shared database
• Structured interviews designed around your hypothesis, with every question tied to a decision you need to make
• Verification built into the process: ID checks, cross-referencing, and human validation so outputs can go straight into IC memos without caveats
• Finished intelligence that changes conviction, sizing, or timing, not raw transcripts you still need to interpret

Most expert networks don't deliver this because their business model depends on volume, not outcomes. They're optimised for introductions, not answers.

The alternative is to work with providers who own the full research chain: brief to recruitment to interview to verification to final output. This eliminates the middleman tax and ensures every dollar and every hour moves a decision forward.

The Market Today

The expert network industry is worth between $2.28 billion and $4.19 billion, depending on which estimate you trust. Growth has slowed to roughly 1% annually, though more optimistic projections suggest 16% compound annual growth through 2034.

The discrepancy reflects uncertainty about how the industry will evolve as clients push back on pricing and demand more than access.

The largest players include:

• GLG: the oldest and one of the largest networks, founded in 1998, with 8% compound annual growth since 2015
• AlphaSights: tied with GLG as market leader, growing 15-30% annually
• Guidepoint: a major player with similar growth rates to AlphaSights
• Third Bridge: known for research capabilities beyond traditional phone consultations

The market remains fragmented, with dozens of smaller networks competing on niche expertise, regional coverage, or pricing.

Consolidation is likely as clients rationalise vendor relationships and demand better economics.

How to Evaluate Expert Networks

If you're choosing an expert network or reviewing your current provider, focus on outcomes, not features.

Ask:

• What percentage of calls turn out to be genuinely useful?
• How much analyst time does each project consume beyond the interview itself?
• What's the real cost per insight that moves a decision, not just the sticker price per call?
• Are you speaking with fresh experts or recycled names from a shared database?
• Does the network take responsibility for quality, or do you carry all the risk?

Most networks can't answer these questions because their model doesn't depend on them. They get paid when you book calls, not when you make better decisions.

The providers worth working with tie their economics to your outcomes. They put fees at risk, own the full research process, and deliver finished intelligence instead of access.

What Comes Next

Expert networks will remain part of the investment research infrastructure, but the model is under pressure.

Clients are realising that paying $1,200 per call for access whilst doing all the research work themselves is a mispricing. Analysts are tired of spending 14 hours a month on logistics. Compliance teams are pushing back on the risk exposure.

The industry will split into two camps: networks that continue selling access at high margins, and providers that deliver finished intelligence with skin in the game.

The former will serve clients who value speed and breadth over cost efficiency. The latter will serve investors who treat primary research as a competitive edge and refuse to pay a middleman tax for doing their own work.

You need to decide which side of that line you're on.

If you're paying for access and treating it as research, you're leaving money on the table. If you're buying finished intelligence from providers who own the full chain and put outcomes ahead of volume, you're positioned correctly.

The question is whether your current provider is built for the model you actually need.