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MARKETPLACE LIQUIDITY MODEL · Two-sided marketplace · Google + Meta

CAC cut 33% while active-both-sides grew 2.1×.

Two-sided services marketplace over-buying supply in saturated cities and under-buying demand in supply-rich cities. Rebuilt against liquidity gates, not vanity signups.

-33%
Blended CAC · Illustrative
2.1×
Active-both-sides · Illustrative
60d
Attribution window · Illustrative
22%
Geo-lift savings · Illustrative
CONFIDENTIALITYIllustrative. Figures show the shape of a typical engagement, not a named client result.
DIAGNOSIS

Why the account was underperforming.

Signups optimized as one funnel. Cities with supply oversupply still receiving supply-side ads. Signup ≠ active - 60% of signups never transacted. No cohort MMM.

OPERATING CHANGES

What actually changed.

MOVE 01

Split budget by side

Two-sided campaign split with independent budget allocators. Buyer vs seller / rider vs driver as separate P&Ls.

MOVE 02

Liquidity dashboards feed bidding

Real-time supply–demand ratios by city drive bid modifiers. Kill switch on when imbalance exceeds thresholds.

MOVE 03

Held out supply in over-saturated geos

Supply-side campaigns paused in 22 cities. Match rate improved; CAC dropped.

MOVE 04

60-day active as the event

Rebuilt attribution around 60-day active rather than signup. Networks optimizing to real users.

MOVE 05

Cohort MMM by city

MMM run per-city with population + density controls. Budget reallocated quarterly against caused-active rate.

OUTCOME

What the account looked like after.

Blended CAC cut 33%. Active-both-sides users grew 2.1× on the same total budget. Contribution margin per active user up 27%. Geo-lift tests saved 22% of programmatic budget on autopilot renewals.

SegmentAmplitudeSnowflakeHexCustom liquidity dashboard
ONBOARD THIS OPERATING PATTERN DEPTH

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