Amazon pricing analytics for Private Label sellers.
See where pricing behavior may be leaving revenue or profit on the table using Seller Central and Amazon Ads data.




Pricing Workspace
Move from product opportunity to price-level analysis. Review pricing evidence, historical price points, recommended revenue prices, recommended profit prices, and expected impact before making changes in Amazon.
How it works
Connect Amazon data, let Holocene evaluate pricing behavior, then review recommendations or enable the AI co-pilot workflow.
Connect Amazon data
Connect Seller Central and Amazon Ads.
Analyze pricing behavior
Holocene reviews sales, price changes, discounts, advertising context, and cost completeness.
Review recommendations
Inspect pricing evidence, revenue opportunity, profit opportunity, and recommended prices.
Enable AI co-pilot
Use recommendation mode first, then move toward controlled price optimization when ready.
FAQ
A practical pricing analytics layer for sellers using Amazon Seller Central and Amazon Ads.
Who is Holocene built for?
Holocene is built for Amazon Private Label sellers who control their own prices and want product-level pricing decisions backed by data.
What data does Holocene use?
Holocene uses Seller Central sales data and Amazon Ads performance data to analyze pricing behavior, revenue opportunity, profit opportunity, and advertising context.
Do I need product costs?
No. You can start with revenue opportunity first. Profit opportunity becomes available after COGS, FBA fees, and marketplace fees are added.
Does Holocene automatically change prices?
Holocene starts with analytics and recommendations. Automated price optimization is designed as a controlled co-pilot workflow with seller-defined limits.
Why does Holocene use the last 60 days?
A 60-day window gives the model enough recent price and sales behavior to evaluate pricing activity without relying on outdated market conditions.
Start with a free pricing analysis.
Connect Amazon data, review your pricing dashboard, and open Pricing Workspace to inspect product-level opportunities.



