marketplace-liquidity_skill

Overview

This skill helps product teams build and manage marketplace liquidity so buyers reliably find sellers and sellers reliably find buyers. It focuses on diagnosing whether a marketplace is supply- or demand-constrained, defining clear liquidity metrics, and designing targeted interventions to improve match rates. The guidance is practical and event-driven: measure fill rate, find the bottleneck, and concentrate resources where they unblock matches fastest.

How this skill works

I first help you classify your marketplace type and fragmentation (geographic, category, or use-case). Then we diagnose the core constraint: supply, demand, or matching quality. Next we define one or two liquidity metrics (e.g., fill rate, time-to-match, local depth) and map interventions—supply acquisition, demand generation, pricing adjustments, or matching improvements—against those metrics. Finally we set short experiments and operational rules to rebalance attention and inventory dynamically.

When to use it

• You’re launching a two-sided marketplace and need a go-to plan for reaching critical mass
• Match rates are low or vary wildly across cities or categories
• You see strong seller churn or a ‘graduation problem’ where top suppliers leave
• You want to prioritize growth investments between supply and demand
• You need clear metrics and experiments to improve reliability for users

Best practices

• Measure liquidity as your north-star (fill rate or successful match rate) and track it by segment and geography
• Focus on the constrained side first—don’t grow both sides equally if one is the bottleneck
• Solve local density before national scale: build highly liquid pockets and then expand
• Rotate attention and inventory dynamically; expect to rebalance like whac-a-mole
• Design short, measurable experiments (e.g., targeted supply promos, demand incentives, matching rules) and iterate quickly

Example use cases

• Diagnose why a city has poor fulfillment despite healthy overall sign-ups
• Build a launch plan that prioritizes one neighborhood or vertical to reach local critical mass
• Reduce seller churn by routing demand toward new or graduating suppliers
• Improve match rates by testing alternative matching algorithms or visibility rules
• Decide whether to subsidize supply or run demand campaigns based on measured fill rates