Observed
Sample SKU TRAIL-01: 300 units in the last 30 days and conversion not falling. Perfect Price reviews the last 90 days of sales, revenue, average selling price, conversion and FBA stock. Check both sales and traffic coverage dates.
← How Rivet Rocket helpsA price recommendation.
For sellers in the US marketplace
A price recommendation.
With a reason behind it.
Review a short weekly list of careful price tests based on your sales, conversion and stock. See the reason for each suggestion, then choose what to change in Seller Central.
Perfect Price · Rivet Rocket
RrivetrocketIllustrative data
A conversation with context
Example exchangeYour AI brand manager
What needs my attention this week?
R
Restock your top seller first.
Your top seller has 18 days of stock against a 30-day lead time. Without inbound stock, that leaves a 12-day gap. Confirm whether incoming stock can arrive in time. Make that check before running a price test.
Stock: example snapshotLead time: brand assumption
↗
Ask the follow up question
“How many units should I send in?”
Reimbursement-report cases
Illustrative statesTrack the next case step
| Case | State | Next step |
|---|---|---|
| RR-1042 | Ready to file | File in Seller Central |
| RR-2086 | Follow-up due | Check the response |
| RR-3191 | Payment matched | Review the match |
↗
The report and case history together
Your team files in Seller Central and records the case ID and responses. Refund Logic flags a 14-day follow-up and matches payment records. It does not audit shipments or file cases automatically.
A decision you can explain
Example productReview the price test
Current price$24.80
→Suggested test$25.10
Sales trendReview recent demand
Stock contextCheck available cover
ExecutionYou choose the change
↗
Small change. Clear reasoning.
Review the recommendation and supporting data before choosing your next test.
Plan your next shipment
Example forecastInventory cover
TodayLead timeTarget cover
Stock on handCompare with inbound units
ReplenishmentReview timing and quantity
↗
Check the lead time assumption
Your shipment plan depends on when the next units can reach Amazon.
Where shoppers leave
Example findingSearch performance
People see us. Why aren’t they buying?
R
Start with the step where share drops.
Compare your share of clicks, cart adds and purchases with the market. Review the listing and price before deciding where to spend.
↗
A weekly list of searches to investigate
Ask AI about the finding and choose your next check.
Inside Perfect Price
A careful price test. With the evidence.
Review a small, rule-based test and the figures behind it. Decide whether to make the change, then ask AI to compare the results.
US marketplaceFollow the four steps or replay the animation. The interface is simplified and all figures are illustrative; no live account is connected.
Coverage and boundaries
Test steps never exceed 5%. Recommendations are rules, not demand predictions. Promotions, coupons, ad changes and competitor prices are caveats. Before/after comparisons use Ask AI; a built-in price-change timeline is not available.
RPerfect PriceIllustrative workflow
0190-day sales, conversion + FBA stock
02Observed → interpretation → test
03You change the price
Current price$24.80
→Suggested test$25.10
L30 units300
ConversionNot falling
EvidenceHigh
Ask AI · illustrative comparison
“Compare conversion and revenue per day for the 7-day test against the previous 14 days. Show the covered dates and any missing traffic data.”
01 / Review evidence
Read the sales, conversion and stock evidence, including the dates covered by the traffic report.
02 / Consider the test
The illustrative $24.80 → $25.10 test is a 1.2% increase. Review the reasoning and caveats.
03 / You change the price
If you agree, copy the test price and change it yourself in Seller Central. Copying changes nothing on Amazon.
04 / Compare with Ask AI
After a 7-day test, ask AI to compare conversion and revenue per day against the previous 14 days. This sample conversation is not a built-in tracking report.
Time compressed · Sample data
Read the sales, conversion and stock evidence, including the dates covered by the traffic report.
The illustrative $24.80 → $25.10 test is a 1.2% increase. Review the reasoning and caveats.
If you agree, copy the test price and change it yourself in Seller Central. Copying changes nothing on Amazon.
After a 7-day test, ask AI to compare conversion and revenue per day against the previous 14 days. This sample conversation is not a built-in tracking report.
Illustrative interface and prewritten example. No live connection or account action.
Read the example in detail
Interpretation
At least 100 units in 30 days with conversion not falling supports High evidence strength. This is a rule-based reason to review a small test, not a prediction that shoppers will pay more.
Recommended test
Illustrative current price $24.80 → test price $25.10, a 1.2% increase. If you agree, change the price yourself in Seller Central. After 7 days, ask AI to compare conversion and revenue per day against the previous 14 days.
Caveat
Promotions, coupons, ad changes and competitor prices are not included in the recommendation data. Check them yourself. The price-change timeline and built-in before/after report are not available; comparisons use Ask AI.
A more useful view
Understand the suggestion
Look at the rationale and available signals behind a proposed change.
Make a deliberate test
Choose the adjustment you want to make instead of handing every pricing decision to automation.
Review the outcome
Follow what happens after a change and use that evidence in your next decision.
From the finding to a decision
Check the economics before the change.
The demonstrated workflow puts a recommendation and its reasoning in front of a person. Review product economics and stock risk before approving a test.
Gather the inputs
Bring the current price, units sold over a defined period, product and selling costs, ad allocation, stock on hand, expected inbound dates and supplier lead time. Keep promotions and stockouts in the context.
Protect the inventory plan
If units sell faster after a price reduction, stock cover can shrink. Compare the test with the inventory forecast and record the stock level that would make you stop or review it.
Define the test
Record the price, start date, owner, approval and review date. Compare contribution dollars as well as units. Use the price-testing guide and unit-cost calculator.
Illustrative decision: a lower price needs more volume
At a $30 price and $20 of modeled variable costs, contribution is $10 per unit. At $29 with the same assumed costs, it is $9. Matching $1,000 of contribution from 100 units would require at least 112 units. Actual referral fees, ad costs and demand can change; this example holds unit costs constant and is not a forecast.
Perfect Price uses rules based on your last 90 days of sales, revenue, average price, conversion and FBA stock. Test steps never exceed 5%. You change the price in Seller Central; use Ask AI for a before/after comparison.
How it works
A question.
A useful next step.
- 01
Choose a product
Bring the product’s sales and pricing context into view.
- 02
Review the suggestion
Read the recommended adjustment and the reasoning behind it.
- 03
Choose what to test
Approve your next step and review the outcome over time.
Questions, answered
The details matter.
A few things worth knowing about the tools and the next step.
Will the tool automatically change every price?
No. Perfect Price recommends small, rule-based tests; you make every change in Seller Central. Promotions, coupons, ad changes and competitor prices are not included in its data yet.
Which accounts does this support?
Perfect Price supports the US marketplace and products with real sales history.
How much does it cost?
Brands: $297/month. FBA Builders: $97/month + usage. Agencies: $497/month + usage. Confirm account scope, usage rates where applicable and any separate services on your demo.
Are the examples real customer results?
The website uses illustrative examples. On the demo, we show how the workflow applies to your business and confirm the data and features your account can use.
Keep exploring
The thinking behind the tool
Put the finding in context.
How to test Amazon price increases without guessing
Choose one product, define the margin goal, and measure whether a price change earns its place.
Read the guideAmazon Buy Box: what to monitor and how to investigate changes
Understand the Featured Offer, keep a useful observation log and investigate changes before choosing a price or shipping action.
Read the guideWhy Amazon margins shrink when ACOS stays steady
Separate fee changes, refunds, product mix and advertising to find what is reducing contribution.
Read the guideStart with your work
Find your next
useful move.
Show us what you manage or want to build. We’ll walk through the features, confirm your setup and give you clear next steps.
Book a demo No account connection needed for the call.