Marketplace · Data

Buyer-seller match rate

Finding out how many searches lead to a successful booking.

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All use cases

Search to booking

01Searched

20,000 searches

100%

02Viewed a listing

63% of step 1

63%

03Contacted a seller

56% of step 2

36%

04Booked

69% of step 3

25%

Finding

24.6% of searches end in a booking. Home services match at 32%, professional services at 18%.

Who it's for

Data teams measuring marketplace liquidity and match efficiency.

What it solves

Improve the match rate between supply and demand to increase transactions.

Questions it answers

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  • Match rate?

    24.6% of searches result in a booking - opportunity to improve discovery.

  • By category?

    Home services match at 32% vs 18% for professional services.

  • Pricing impact?

    Listings priced within 20% of category average match 2.1x more often.

  • What percentage of searches lead to bookings?
  • Which categories have best match rates?
  • How does pricing affect matching?
  • What improves match success?

The impact

  • Increase match rate to 35%
  • Improve marketplace GMV by 40%
  • Reduce supply/demand imbalance

The data it needs

  • Search query events
  • Booking/purchase events
  • Listing view events
  • Category data

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Buyer-seller match rate: frequently asked questions

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