The £2.5 Billion Coordination Tax: Why Expert Networks Profit From Your Inefficiency

The expert network industry reached £2.5 billion globally in 2024. That number tells you something important about how primary research works today.

Investors are paying billions for access. The actual research work happens after the invoice arrives.

Mark Pacitti spent years on the buyside at Goldman Sachs and Citadel watching this pattern repeat. Analysts would pay £1,200 per expert call. Then they would spend hours scheduling, vetting profiles, conducting interviews, taking notes, and synthesising findings.

The expert network collected its fee for the introduction. The analyst did the research.

This is not a service delivery problem. It is a structural feature of how expert networks make money.

The Revenue Model That Requires Your Time

Expert networks operate on a pay-per-use model. They bill clients per hour of expert consultation, then pay the expert a portion of that fee.

The economics are revealing. Industry gross margins average 70%. Some networks report margins between 70-80%.

Those margins exist because expert networks sell introductions, not intelligence. The infrastructure stops at the phone call. Everything else—verification, synthesis, quality control—happens on the client's side.

You pay research prices for access infrastructure.

The model creates a specific incentive structure. Expert networks profit when you conduct more calls. They do not profit when you get better answers faster. Volume drives revenue. Efficiency threatens it.

Pacitti saw this firsthand when building Woozle Research. The traditional model could not be fixed with better technology or faster matching. The business model itself required clients to do the heavy lifting.

Where Your Analyst Time Actually Goes

The visible cost is the £1,200 per call. The hidden cost is what happens before and after that call.

Before the call, analysts spend hours vetting expert profiles. They review CVs, check LinkedIn, and try to determine whether someone genuinely knows the answer or just works in the right industry.

Expert networks provide profiles. They do not verify expertise against your specific question.

During the call, analysts conduct the interview, take notes, and try to separate signal from noise. They carry compliance risk. They decide what to ask and how to interpret vague or contradictory answers.

After the call, the real work begins. Analysts transcribe notes, cross-reference claims, and try to build a coherent picture from multiple conversations. They clean data. They reconcile inconsistencies. They write up findings.

The expert network is not involved in any of this. Their product ends when the call ends.

Pacitti estimates this coordination work consumes roughly 14 hours per month for active research teams. That time does not move conviction on a trade. It maintains the infrastructure that expert networks profit from.

The Fragmentation Problem Gets Worse With Scale

When you run one expert call, the coordination tax is annoying. When you run ten calls across a quarter, it becomes a structural drag on decision quality.

Project managers spend significant time reconciling data from multiple experts. Each call produces notes in a different format. Each expert uses different terminology. Each conversation covers slightly different ground.

You end up with a pile of transcripts and a synthesis problem.

New analysts joining a project face an even worse situation. They inherit scattered information with no clear context. They do not know which experts were credible, which claims were verified, or how the pieces fit together.

They spend days reconstructing what the team already learned.

This fragmentation is not a bug in the expert network model. It is a feature. When information stays scattered across multiple calls and formats, clients need more calls to build confidence. More calls mean more revenue.

The system is working exactly as designed. Just not for you.

Why Technology Does Not Fix the Core Problem

Expert networks have responded to client frustration with technology. They offer digital platforms, AI-powered matching, and enterprise integrations.

These tools make scheduling faster. They do not change what you are buying.

Digitising access is still access. The bottleneck has shifted to verification and synthesis. Adding AI to schedule calls faster does not change the fact that clients still do the actual research work.

You can book an expert in three clicks instead of three emails. You still spend hours preparing for the call, conducting the interview, and making sense of the output.

The pricing has not adjusted to reflect this reality. Expert networks still charge as if they are delivering research. They are delivering coordination.

Pacitti built Woozle Research around a different premise. If investors pay research prices, they should receive research outputs. Not access to people who might have answers.

The Industry Is Growing Because the Model Works for Providers

The expert network industry has grown at 16% annually over the last decade. Over 45 million expert consultations were conducted globally in 2025.

That growth tells you the model is sustainable. For expert networks.

Clients keep paying because they need primary research and no credible alternative has existed. Expert networks have optimised their infrastructure for margin protection, not decision quality.

The shift is starting. Consulting firms now represent 46% of expert network clients, up from a smaller share historically. Private equity has grown as a segment.

This diversification shows that the coordination tax affects more than hedge funds. Any decision-maker who needs verified answers faces the same problem.

The question is not whether expert networks provide value. They do. The question is whether the value matches the price once you account for your time.

What an Integrated Model Actually Looks Like

Pacitti designed Woozle Research to eliminate the coordination tax entirely. The product is finished intelligence, not introductions.

Clients submit a 10-minute brief. Woozle recruits the right experts, conducts structured interviews, verifies claims, and delivers decision-ready outputs.

No scheduling. No calls. No note-taking. No data cleaning.

The economics work because verification, synthesis, and quality control happen inside a single system. There is no handoff where the client takes over. The infrastructure is designed around analyst time as the scarce resource.

Woozle ties fees to outcomes with performance-based pricing. If the research does not genuinely enhance decisions, clients do not pay. That structure only works when your business model is built on delivering answers, not access.

This is not a marginal improvement on expert networks. It is a different category. One designed from the investor's seat, not the middleman's P&L.

The Real Cost Per Useful Insight

Expert networks advertise £1,200 per call. That number is incomplete.

When 40% of calls turn out to be useless—wrong expert, vague answers, or information you already had—the cost per useful call rises to roughly £2,000.

Add the analyst time: 14 hours per month at a loaded cost of £150 per hour equals £2,100 in coordination overhead.

The true cost per useful insight is not £1,200. It is closer to £2,000 in call fees plus £2,100 in analyst time, spread across the number of genuinely valuable conversations you had that month.

Pacitti's clients report cutting this cost in half by switching to finished intelligence. Not because Woozle charges less per project, but because the total cost—cash plus time—drops when you stop paying for coordination.

The Model Cannot Be Reformed

Some investors try to optimise expert network usage. They write better briefs. They vet profiles more carefully. They push back on useless experts.

These tactics reduce waste at the margin. They do not change the underlying economics.

Expert networks need volume to hit revenue targets. Their margins depend on keeping the infrastructure light. Adding verification, synthesis, and quality control would compress margins and require a different pricing model.

They are not going to build the thing that replaces them.

The expert network model made sense when the alternative was cold-calling industry contacts or flying analysts to meet sources in person. It was better than nothing.

Now the alternative is integrated research infrastructure where verification and synthesis happen before the output reaches your desk. The old model is not competing with itself. It is competing with a different approach to the same problem.

What This Means for HowThe expert network industry reached £2.5 billion globally in 2024. That number tells you something important about how primary research works today.

Investors are paying billions for access. The actual research work happens after the invoice arrives.

Mark Pacitti spent years on the buyside at Goldman Sachs and Citadel watching this pattern repeat. Analysts would pay £1,200 per expert call. Then they would spend hours scheduling, vetting profiles, conducting interviews, taking notes, and synthesising findings.

The expert network collected its fee for the introduction. The analyst did the research.

This is not a service delivery problem. It is a structural feature of how expert networks make money.

The Revenue Model That Requires Your Time

Expert networks operate on a pay-per-use model. They bill clients per hour of expert consultation, then pay the expert a portion of that fee.

The economics are revealing. Industry gross margins average 70%. Some networks report margins between 70-80%.

Those margins exist because expert networks sell introductions, not intelligence. The infrastructure stops at the phone call. Everything else—verification, synthesis, quality control—happens on the client's side.

You pay research prices for access infrastructure.

The model creates a specific incentive structure. Expert networks profit when you conduct more calls. They do not profit when you get better answers faster. Volume drives revenue. Efficiency threatens it.

Pacitti saw this firsthand when building Woozle Research. The traditional model could not be fixed with better technology or faster matching. The business model itself required clients to do the heavy lifting.

Where Your Analyst Time Actually Goes

The visible cost is the £1,200 per call. The hidden cost is what happens before and after that call.

Before the call, analysts spend hours vetting expert profiles. They review CVs, check LinkedIn, and try to determine whether someone genuinely knows the answer or just works in the right industry.

Expert networks provide profiles. They do not verify expertise against your specific question.

During the call, analysts conduct the interview, take notes, and try to separate signal from noise. They carry compliance risk. They decide what to ask and how to interpret vague or contradictory answers.

After the call, the real work begins. Analysts transcribe notes, cross-reference claims, and try to build a coherent picture from multiple conversations. They clean data. They reconcile inconsistencies. They write up findings.

The expert network is not involved in any of this. Their product ends when the call ends.

Pacitti estimates this coordination work consumes roughly 14 hours per month for active research teams. That time does not move conviction on a trade. It maintains the infrastructure that expert networks profit from.

The Fragmentation Problem Gets Worse With Scale

When you run one expert call, the coordination tax is annoying. When you run ten calls across a quarter, it becomes a structural drag on decision quality.

Project managers spend significant time reconciling data from multiple experts. Each call produces notes in a different format. Each expert uses different terminology. Each conversation covers slightly different ground.

You end up with a pile of transcripts and a synthesis problem.

New analysts joining a project face an even worse situation. They inherit scattered information with no clear context. They do not know which experts were credible, which claims were verified, or how the pieces fit together.

They spend days reconstructing what the team already learned.

This fragmentation is not a bug in the expert network model. It is a feature. When information stays scattered across multiple calls and formats, clients need more calls to build confidence. More calls mean more revenue.

The system is working exactly as designed. Just not for you.

Why Technology Does Not Fix the Core Problem

Expert networks have responded to client frustration with technology. They offer digital platforms, AI-powered matching, and enterprise integrations.

These tools make scheduling faster. They do not change what you are buying.

Digitising access is still access. The bottleneck has shifted to verification and synthesis. Adding AI to schedule calls faster does not change the fact that clients still do the actual research work.

You can book an expert in three clicks instead of three emails. You still spend hours preparing for the call, conducting the interview, and making sense of the output.

The pricing has not adjusted to reflect this reality. Expert networks still charge as if they are delivering research. They are delivering coordination.

Pacitti built Woozle Research around a different premise. If investors pay research prices, they should receive research outputs. Not access to people who might have answers.

The Industry Is Growing Because the Model Works for Providers

The expert network industry has grown at 16% annually over the last decade. Over 45 million expert consultations were conducted globally in 2025.

That growth tells you the model is sustainable. For expert networks.

Clients keep paying because they need primary research and no credible alternative has existed. Expert networks have optimised their infrastructure for margin protection, not decision quality.

The shift is starting. Consulting firms now represent 46% of expert network clients, up from a smaller share historically. Private equity has grown as a segment.

This diversification shows that the coordination tax affects more than hedge funds. Any decision-maker who needs verified answers faces the same problem.

The question is not whether expert networks provide value. They do. The question is whether the value matches the price once you account for your time.

What an Integrated Model Actually Looks Like

Pacitti designed Woozle Research to eliminate the coordination tax entirely. The product is finished intelligence, not introductions.

Clients submit a 10-minute brief. Woozle recruits the right experts, conducts structured interviews, verifies claims, and delivers decision-ready outputs.

No scheduling. No calls. No note-taking. No data cleaning.

The economics work because verification, synthesis, and quality control happen inside a single system. There is no handoff where the client takes over. The infrastructure is designed around analyst time as the scarce resource.

Woozle ties fees to outcomes with performance-based pricing. If the research does not genuinely enhance decisions, clients do not pay. That structure only works when your business model is built on delivering answers, not access.

This is not a marginal improvement on expert networks. It is a different category. One designed from the investor's seat, not the middleman's P&L.

The Real Cost Per Useful Insight

Expert networks advertise £1,200 per call. That number is incomplete.

When 40% of calls turn out to be useless—wrong expert, vague answers, or information you already had—the cost per useful call rises to roughly £2,000.

Add the analyst time: 14 hours per month at a loaded cost of £150 per hour equals £2,100 in coordination overhead.

The true cost per useful insight is not £1,200. It is closer to £2,000 in call fees plus £2,100 in analyst time, spread across the number of genuinely valuable conversations you had that month.

Pacitti's clients report cutting this cost in half by switching to finished intelligence. Not because Woozle charges less per project, but because the total cost—cash plus time—drops when you stop paying for coordination.

The Model Cannot Be Reformed

Some investors try to optimise expert network usage. They write better briefs. They vet profiles more carefully. They push back on useless experts.

These tactics reduce waste at the margin. They do not change the underlying economics.

Expert networks need volume to hit revenue targets. Their margins depend on keeping the infrastructure light. Adding verification, synthesis, and quality control would compress margins and require a different pricing model.

They are not going to build the thing that replaces them.

The expert network model made sense when the alternative was cold-calling industry contacts or flying analysts to meet sources in person. It was better than nothing.

Now the alternative is integrated research infrastructure where verification and synthesis happen before the output reaches your desk. The old model is not competing with itself. It is competing with a different approach to the same problem.

What This Means for How You Buy Research

If you currently use expert networks, calculate your true cost per useful insight. Include call fees, analyst time, and the opportunity cost of fragmented information.

Then ask whether you are buying research or buying access plus a to-do list.

The expert network industry will keep growing as long as clients accept the coordination tax as normal. It is not normal. It is a structural feature of a business model designed around margin extraction, not decision quality.

Pacitti built Woozle Research because he watched smart investors waste time and capital on a model that could not be fixed. The solution was not better expert networks. It was replacing the category entirely.

You can keep paying for access and doing the research yourself. Or you can start buying finished intelligence from providers who put skin in the game on outcomes.

The £2.5 billion industry exists because the first option has been the only option. That is changing. You Buy Research

If you currently use expert networks, calculate your true cost per useful insight. Include call fees, analyst time, and the opportunity cost of fragmented information.

Then ask whether you are buying research or buying access plus a to-do list.

The expert network industry will keep growing as long as clients accept the coordination tax as normal. It is not normal. It is a structural feature of a business model designed around margin extraction, not decision quality.

Pacitti built Woozle Research because he watched smart investors waste time and capital on a model that could not be fixed. The solution was not better expert networks. It was replacing the category entirely.

You can keep paying for access and doing the research yourself. Or you can start buying finished intelligence from providers who put skin in the game on outcomes.

The £2.5 billion industry exists because the first option has been the only option. That is changing.