SNR Growth Blog Content

Disintermediation happens when buyers and sellers use your marketplace to find each other, then complete the transaction elsewhere.

The platform created the match. The platform captured none of the revenue.

Most operators treat this as a take-rate problem. It is usually bigger than that.

The Compounding Problem

Off-platform transactions do not only reduce immediate revenue. They weaken the data layer that makes the marketplace better over time.

GMV visibilityLess clarity into actual transaction volume.
Reviews and ratingsFewer completed transactions means fewer trust signals.
Provider reputation dataThe platform loses evidence of who performs well.
Matching accuracyRanking systems learn from incomplete behavior.
Retention signal qualityUsers may look inactive while transacting directly.
Network understandingThe marketplace gets worse at reading its own system.
That is the real risk.

Over time, the marketplace gets progressively worse at understanding its own network.


Why Users Leave the Platform

There are three structural reasons.

Price Incentives

A 15–20% take rate on a high-value contract gives both sides economic incentive to bypass the platform. Each side captures a portion of the saved fee.

This is most acute in recruiting, staffing, enterprise services, professional services, high-ticket freelance work, and renovation marketplaces.

Repeat Relationships

Leakage is highest in marketplaces where buyers want the same provider repeatedly.

Uber has relatively low leakage risk because riders usually get a different driver each time and the per-trip fee is small. Marketplaces like Rover, Care.com, or tutoring platforms behave differently.

Once a buyer and provider establish a working relationship, the platform has to keep justifying why the transaction should stay on it.

Weak Transaction Infrastructure

Some platforms create leakage by design.

If payments, scheduling, invoicing, and communication all happen outside the platform, users migrate off-platform because the operational workflow already lives elsewhere.

The marketplace becomes a discovery tool, not a transaction layer.


Why Leakage Gets Worse Over Time

A single off-platform transaction is a revenue miss. Structural leakage is a data and network problem.

Once a buyer and provider transact directly without incident, the next transaction is more likely to follow the same route.

Behavior reinforces itself.

The more users successfully transact outside the platform, the less reason they have to return for repeat work.

That reinforcement produces second-order effects:

  • fewer reviews written
  • weaker trust signals on the platform
  • less behavioral data for the matching algorithm
  • lower monetization visibility
  • degraded recommendation quality

Gu and Zhu, studying a large online freelance marketplace, found a direct relationship between platform trust mechanisms and disintermediation behavior: as trust between users increased sufficiently, so did the rate of off-platform transactions.

The platform’s own trust-building efforts created leakage pressure. That is not a paradox. It is a mechanics problem.


Which Marketplaces Are Most Exposed

Leakage pressure is not distributed evenly. High-risk categories share several characteristics.

Risk factor

High Transaction Value

The larger the transaction, the larger the fee, and the larger the incentive to route around it. A $30,000 recruiting placement fee creates meaningful motivation to connect directly after an introduction.

Risk factor

Repeat-Provider Preference

If buyers specifically want to keep working with the same supplier, leakage pressure rises substantially after the first match. The platform solved discovery. Now it has to justify the fee on every subsequent booking.

Risk factor

Offline Scope-Setting

Marketplaces where pricing or scope must be defined through direct communication lose leverage before the transaction is captured. The parties exchange information, build trust, and gain the means to transact directly.

Risk factor

In-Person Fulfillment

Digital work can be monitored and payment can be held until delivery is confirmed. In-person service marketplaces have weaker enforcement visibility. Fiverr has an easier time controlling this than TaskRabbit for structural reasons, not product quality.


What Actually Reduces Leakage

Platforms with low leakage rates provide infrastructure users do not want to lose. Restrictions alone do not solve it.

Payments and Escrow

Escrow changes the calculus for both sides. Buyers get delivery protection. Providers get payment certainty without chasing invoices.

This works because it adds genuine value to both parties, not just friction for one.

Reputation Systems With Real Stakes

Platform reputation suppresses leakage when it materially affects future earnings. Airbnb hosts with thousands of reviews have strong financial incentive to preserve that asset.

Fast and Frictionless Payouts

Providers move transactions off-platform partly because external payment methods are simpler or faster. Same-day or next-day payouts remove one of the cleaner arguments for going direct.

Workflow Ownership

The more operational workflow the platform controls, the harder it becomes to replicate that relationship externally.

Scheduling, communication, invoicing, compliance, and fulfillment all make the platform harder to replace.

Communication Monitoring

NLP tools can flag messages containing phone numbers, email addresses, external payment references, or explicit requests to transact outside the platform.

This works best as an intervention tool, not a punitive one. Blanket bans can remove high-value providers who are also your most active transactors.


What Operators Should Measure

Most growth-stage marketplaces do not have a direct leakage metric. The signal is usually indirect.

Signal

Contact-to-Transaction Gap

If introductions or quote requests are growing faster than completed on-platform transactions, activity is likely moving off-platform.

Signal

Repeat-Buyer Disappearance by Cohort

Users who complete one transaction and then go quiet may not have churned. They may have continued the relationship directly.

Signal

Provider-Side Inconsistencies

Providers receiving consistent inbound demand while completing fewer on-platform transactions are a direct signal. Compare match rates against transaction completion rates by provider.

Signal

Message Content Analysis

In-platform messaging is the earliest available signal. Monitor payment references, contact details, and off-platform booking language before the transaction is lost.


The First Hypothesis Worth Testing

Leakage tends not to appear directly in standard dashboards.

It shows up as suppressed GMV, flat take-rate expansion despite user growth, and retention data that does not match engagement signals.

If marketplace usage is growing but monetization quality is not, disintermediation is the first hypothesis worth testing.
Need to understand where marketplace leakage is happening?

SNR Growth works with growth-stage marketplaces on acquisition, retention, and the content and channel infrastructure that connects the two.

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Sources

  • Gu, G. & Zhu, F. (2021). Trust and Disintermediation: Evidence from an Online Freelance Marketplace. Management Science, 67(2), 794–807.
  • Hagiu, A. & Wright, J. (2024). Marketplace Leakage. Management Science, 70(3), 1529–1553.
  • Ladd, T. (2021). The Achilles Heel of the Platform Business Model: Disintermediation. Business Horizons, 65(3), 277–289.
  • Hagiu, A. & Wright, J. (2021). Platform Leakage. Platform Chronicles, Substack.

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