GLG's Matching Myths: Why Size Doesn't Guarantee the Right Industry Fit

In the world of primary research, the promise of large expert networks like GLG (Gerson Lehrman Group) is seductive: access to thousands of professionals across virtually every industry. The pitch is compelling - with over 1 million experts, surely finding the perfect match for your research is guaranteed, right? Yet many research teams discover a frustrating reality: size doesn't necessarily translate to quality connections or industry-specific expertise.

The Myth of the Perfect Match Through Scale

GLG and similar traditional expert networks operate on a fundamental premise: the larger the pool of experts, the better the match for any research need. This premise creates several expectations:

• A vast database means immediate access to ideal experts
• Scale ensures deep coverage across all industries
• Size guarantees speed in connecting with the right people

Yet many researchers encounter a different reality. Despite impressive network size, the quality of matches often falls short of expectations, particularly when seeking specialized industry knowledge.

Why Bigger Isn't Always Better for Industry Expertise

The Dilution Effect

Large expert networks face an inherent challenge: as they grow, maintaining quality becomes increasingly difficult. According to research from Primary Research Group, only about 25-30% of experts in large networks are actively engaged at any given time. The remainder may be:

• Outdated contacts with changed roles or industries
• Infrequent participants who rarely accept consultations
• Generalists rather than specialists in niche areas

The Rental Model Problem

Traditional firms like GLG operate on what's essentially a rental model - they own the supply and rent access back to you. This creates several structural problems:

1. Misaligned incentives: The broker sits between you and the expert, optimizing for their margin rather than your perfect match
2. Limited relationship building: The connections remain owned by the broker, preventing lasting relationships
3. Commoditized expertise: Experts become interchangeable resources rather than valued connections

According to a 2022 survey by Deloitte, 64% of research professionals reported that the rental model significantly limited their ability to build lasting relationships with industry experts.

The Hidden Costs of Size Without Precision

The pursuit of scale brings several unexpected costs:

Time Waste in Filtering

Larger networks often require more time to filter through potential matches. Research from Harvard Business Review suggests that research teams spend an average of 12 hours per project managing expert relationships through traditional networks.

Premium Pricing Without Premium Value

The broker layer adds substantial cost. Traditional expert networks charge premiums of 30-50% over the direct cost of expert time. This markup funds the massive infrastructure needed to maintain these networks, but doesn't necessarily translate to better industry fits.

The Lost Opportunity of Relationship Building

Perhaps most significant is the opportunity cost. When you rent access through GLG, you forego building your own research asset. The connections you make don't stay with you, preventing the cumulative advantage of a growing, personal network of industry experts.

The Alternative: Owning Your Research Network

The emerging alternative to large, rented networks is building and owning your own research connections. This approach flips the traditional model:

Direct Outreach Versus Pool Dependence

Rather than relying on who's already in a pool, direct outreach focuses on finding exactly who you need. This target-first approach is particularly valuable for strict criteria where the perfect expert might not be in any existing database.

Building an Asset, Not Paying Rent

When you connect directly with experts through your own channels, those relationships become an asset that grows in value over time. According to research from McKinsey, organizations that build proprietary expert relationships report 40% faster insights generation on subsequent research initiatives.

Quality Through Precision, Not Quantity

The emphasis shifts from "how many experts" to "the right experts." A focused network of 50 highly-relevant connections often delivers more value than access to thousands of tangentially-related professionals.

Making the Shift: From Rented Access to Owned Networks

Transitioning from traditional expert networks to an ownership model requires new approaches:

1. Leveraging existing professional connections: Pooling your team's LinkedIn networks creates an immediate foundation
2. Implementing outreach technology: Tools that enable scaled, direct communication with potential experts
3. Building systematic recruiting processes: Creating repeatable methods for finding and engaging the right people

The Future of Expert Access: Networks You Own

The primary research landscape is shifting from rented access to owned networks. As budgets tighten and the need for faster insights grows, the inefficiencies of traditional models become harder to justify.

The most forward-thinking research teams are now building their own expert networks - not as massive as GLG's, but precisely tailored to their specific industry needs. They're finding that 100 owned connections deliver more value than 1,000 rented ones.

Conclusion: Beyond the Size Myth

GLG's size is impressive, but size alone doesn't guarantee the right industry fit. The future belongs to targeted, owned networks that prioritize relevance over scale and relationship-building over transactional access.

As you consider your research strategy, ask not "How many experts can I access?" but rather "How can I build direct relationships with exactly the right experts?" The answer may lead you away from traditional networks and toward a more valuable research asset: a network you own.