Marketplace · Growth
Dynamic pricing analysis
Understanding how price changes affect demand and booking rates.
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All use cases
Demand by price change, indexed
- Cleaning
- Plumbing
-10%-5%0%+5%+10%
Finding
A 10% price rise cuts cleaning demand by 14% but plumbing demand by only 6%.
Who it's for
Growth teams optimizing marketplace pricing strategies.
What it solves
Find the optimal pricing strategy to maximize GMV and provider earnings.
Questions it answers
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Price elasticity?
10% price increase reduces demand by 14% for cleaning, but only 6% for plumbing.
Optimal price?
$85/hour cleaning converts 2.4x better than $110 in suburban markets.
Surge impact?
Surge pricing over 1.5x reduces repeat booking probability by 23%.
- What's the optimal price point by category?
- How does price elasticity vary by service?
- Does surge pricing affect repeat bookings?
- What's the commission impact on supply?
The impact
- Increase GMV by 20%
- Optimize take rate
- Improve provider earnings
The data it needs
- Price history
- Demand data by price point
- Booking conversion rates
- Provider earnings data
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Dynamic pricing analysis: frequently asked questions
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