Supply-side churn is killing demand-side activation. Successful matches are going off-platform. Seasonal demand patterns are masking structural retention problems. GMV growing while take rate falls is a signal — not a success metric.

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The two-sided analytics problem.

Marketplaces have two user types, two activation funnels, and two completely different retention curves — almost always tracked in a single dashboard that hides the real story. Supply-side churn kills demand-side activation before it registers in your aggregate metrics. By the time you see the problem, you've already lost the liquidity that attracted buyers in the first place.

And disintermediation is the hardest problem to measure: successful matches that move off-platform look like retained users right up until they don't renew.

Marketplace liquidity not measured by category or geography — supply-side churn in a specific segment kills demand-side activation long before aggregate metrics show it

Double-sided activation not tracked separately — buyer and seller each need to reach a distinct "first successful match" event, and both funnels are completely different

Disintermediation risk invisible — no signal for when matched users start transacting off-platform, which looks like normal churn until take rate starts falling

Seasonal demand patterns mask structural retention problems — a healthy-looking GMV quarter can hide a cohort of buyers who won't return after the peak season

What we've seen in marketplaces.

Growth problems unique to two-sided platforms.

B2B Services Marketplace — Series A

Supply-side onboarding had a 50% drop-off at profile completion — not because providers weren't interested, but because the step required portfolio uploads and credentials they didn't have ready. The activation funnel treated both sides identically. One resequence eliminated the drop-off.

Talent Marketplace — Series B

Demand-side churn was 2.5× supply-side churn — but aggregate churn metrics hid the imbalance. Buyers were leaving because match quality was poor in 3 categories where supply was thin. Nobody knew until we built category-level liquidity dashboards.

Freelance Platform

First transaction within 14 days predicted 4× higher 12-month retention. But no activation event existed for "first successful match." The platform tracked signups and first project posts — not the moment that actually created value for both sides.

The fix.

We build separate analytics for each side of your marketplace. Supply-side activation. Demand-side retention. Category-level liquidity. Match quality scoring. Churn prediction that tells you which side is at risk — and why.

START HERE

Analytics Audit

$3,497 · 10 days

Full audit of your marketplace analytics. Supply and demand funnels separated. Liquidity gaps identified.

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FULL SYSTEM

The Foundation

$15K–$25K · 4–6 weeks

Analytics, experimentation, churn prediction, competitive intelligence — built and operational for both sides.

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The metrics that reveal marketplace health.

Three marketplace-specific signals that GMV growth will never surface.

LIQUIDITY SIGNAL

Buyer-to-seller ratio by category

Aggregate buyer-to-seller ratio is meaningless. Category-level and geography-level liquidity is what predicts demand-side activation. Thin supply in key segments is a churn risk that looks like a product problem until you measure it.

RETENTION SIGNAL

Repeat transaction rate

The share of buyers who return for a second transaction is the clearest signal that your marketplace created genuine value — not just a match. A declining repeat rate is the earliest leading indicator of disintermediation risk before it shows up in take rate.

ACTIVATION METRIC

Time-to-first-match (both sides)

Not registration. Not profile completion. The moment both a buyer and a seller reach a successful transaction outcome — defined separately for each side — is the double-sided activation event that predicts 12-month retention on the platform.

CASE STUDY

2.5×

Demand-side churn advantage found after separating supply and demand funnels

Talent marketplace. Category-level liquidity dashboards built. Demand-side churn was hidden inside aggregate churn metrics for 12+ months. See case studies →

Find out if your take rate problem is a measurement problem.

10 days. Supply-side and demand-side activation funnels separated. Category-level liquidity mapped. Disintermediation signals instrumented. If the audit doesn't find meaningful gaps, you get a full refund.

Marketplace growth requires understanding both sides independently. The audit shows you where your aggregate GMV metric is hiding the real story about take rate, retention, and platform dependency.

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