Amazon Price Elasticity Testing
Find the price that maximizes profit. Not the one that feels right.
Most sellers set prices based on gut feel or competitor matching. Oracle runs controlled experiments to map your demand curve, measure real elasticity, and find the price point where margin is highest. Data, not guesswork.
Part of Dynamic Pricing Tool
Controlled experiments, not random price changes
Oracle does not just change prices and hope for the best. It designs controlled experiments with defined durations, price increments, and success criteria. Each test isolates the price variable as much as possible so you get clean data on how demand responds. The results tell you what happened and why, not just that revenue went up or down.
Demand curves reveal your real pricing power
Every product has a demand curve. At some prices, unit volume barely changes. At others, a small increase causes a sharp drop. Oracle maps this curve through systematic testing so you know exactly where the inflection points are. This is the difference between pricing by feel and pricing by evidence. Most sellers have never seen their own demand curve. Once you have, you do not go back to guessing.
Optimal price discovery for maximum margin
Revenue maximization and profit maximization are different objectives. Oracle optimizes for contribution margin, not top-line revenue. It finds the price where the combination of volume and margin per unit produces the most profit. Sometimes that means a higher price with fewer units. Sometimes it means a lower price with enough volume lift to more than offset the margin compression.
See what Oracle would do in your account
Start in read-only mode. Oracle analyzes your data and shows you what it would change before touching anything.
Proof
Real results from real Amazon brands
PF Harris
How Harris Scaled Profits With Profasee
Achieving a 24x ROI: How PF Harris amplified profits by $215,000 with Profasee's AI repricing.
Read case study →
Global Teck
22% profit growth and 5.3X ROI with AI-powered repricing
Profasee helped Global Teck increase pricing power and stabilize net profit trends while protecting rank and Buy Box share across the catalog.
Read case study →
MESS Brands
How Mess Brands Scaled Profits With Profasee
The Profasee impact on Mess Brands: how our AI repricer unlocked explosive profit growth for the Amazon seller.
Read case study →
Compare to alternatives
Evaluating amazon price elasticity testing tools?
See how Profasee compares head-to-head with tools sellers already use for this workflow.
Comparison
Profasee vs Trellis
Amazon pricing, advertising, and marketplace management suite
Compare Profasee vs Trellis→
Comparison
Profasee vs BQool
Rule-based Amazon repricer focused on Buy Box conditions
Compare Profasee vs BQool→
Comparison
Profasee vs Aura
Amazon repricer focused on Buy Box competition
Compare Profasee vs Aura→
From the Blog
Related reading
May 8, 2026
Pricing × PPC × Inventory: The Three-System Coordination Brief
Amazon brands run on three systems that constantly affect each other. Here is the operator brief for keeping pricing, PPC, and inventory in sync.
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May 6, 2026
When Repricing Should NOT Move: The Buy Box, Promo, and Inventory Triggers
The most underrated Amazon pricing skill is knowing when to do nothing. Here are the freeze rules, by trigger, that protect margin from over-active repricers.
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May 4, 2026
Velocity-Aware Pricing: Why Static Floors Cost You Q4
Static repricing floors and ceilings cost Amazon sellers margin in Q4. Velocity-aware pricing adjusts the band based on demand, inventory, and seasonality.
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Common Questions
Frequently asked questions
Typically 2-4 weeks per test, depending on sales volume. Products with higher daily sales produce statistically significant results faster. Oracle monitors confidence levels throughout and ends tests early when the data is conclusive.
Oracle uses controlled increments and monitors velocity throughout each test. If a price point causes unacceptable velocity drops, the test adjusts or stops. The goal is to find better prices, not to damage your position in the process.
When Oracle changes a price, Marko recalculates bid ceilings based on the new margin. If a test raises the price and improves margin, Marko can bid more aggressively. If a test lowers price and compresses margin, bids tighten. The two systems stay in sync automatically.
Oracle handles this. You handle the business.
Apply for the May cohort. Start in read-only mode.
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