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Did that price cut or promotion actually pay for itself?
Two reports in the Trivas Analytics workspace answer it from your own history. Price elasticity shows which past price changes paid back and how much each product's sales move when its price moves. Event analysis compares the four weeks before and after a deal, coupon, price change or listing update, with last year's same days taken out.
Look-back analysis on your Amazon sales data. Built for brands selling through Vendor Central or Seller Central.
Promotion results are usually judged by gut feel and raw sales.
A deal week looks strong, but a strong week may have happened anyway. Without a fair baseline, it is hard to say whether a discount grew revenue, only moved it forward, or cost margin.
Seasonality hides the real lift
Sales that rise around an event may have risen at that time last year too. Raw before and after numbers credit the event with growth it did not cause.
Nobody checks if a cut paid back
A price cut needs a minimum unit lift just to keep sales or margin flat. That break-even bar is rarely worked out, so cuts that lost money look the same as cuts that won.
Price tests are guesses
Without each product's own price history, nobody knows which items would grow revenue on a price rise and which would not.
Inside the price and event reports
Both reports sit in the Analytics workspace, use complete weeks only and export to Excel.
Each tab describes one screen, with its parts numbered.
A recap of price changes in the last year, with a plain-language headline and a verdict on each change.
Price elasticity: Recap
A recap of price changes in the last year, with a plain-language headline and a verdict on each change.
- 01
Headline sentence
Summarises the recap in one line, such as how many price cuts lifted units by a median amount and how many paid back in sales or margin.
- 02
Value toggle
Switch between Sales dollars and Margin dollars. Margin uses a contribution-margin percentage you can edit, and the result can be exported.
- 03
KPI cards
Median unit lift, Median lift needed, Cuts that paid back, Rises that paid back, Net change from cuts per week, and Traffic per point cut.
- 04
Did each change pay for itself?
A bubble chart. Across is the unit lift needed to break even, up is the actual unit lift, and size is weekly sales before. Above the dashed diagonal means paid back.
- 05
Outcomes
Each change is labelled Paid back, Broke even, Volume up and value down, Didn't pay back, or No read. The legend is clickable to filter.
- 06
Biggest gains, biggest losses and full table
Mini-tables of the best and worst changes, then every change with product, week, price before and after, unit lift, lift needed, outcome, weekly effect and traffic.
What the price and event reports do
Payback verdict per price change
Each past change is compared with the unit lift it needed to keep sales or margin flat, then marked Paid back, Broke even or Didn't pay back.
Sales or margin dollars
Judge outcomes in sales dollars, or enter a contribution margin and judge them in margin dollars.
Product price sensitivity
Elasticity is fitted from each product's own weekly prices and units, shown with a confidence level and a 95% range.
What-if price slider
Move the price from -25% to +25% and see the expected change in units and revenue, with a warning when it goes beyond prices you have actually sold at.
Event weeks left out of the fit
Deals, coupons and price promos are excluded from elasticity by default, so a promotion does not distort a product's baseline sensitivity.
28-day windows, net of last year
Event lift is the before-to-after change this year minus the change over the same calendar days last year, taken 364 days earlier so weekdays line up.
Price changes found for you
Besides events in your calendar, Trivas detects price changes and Amazon tentpole dates, so a change nobody logged still gets analysed.
Excel export and honest gaps
Every table exports. Where a comparison reaches before your history or into a week with missing data, the page shows a dash, not a zero.
Who uses it, and for what
Pricing owner
Opens the Recap to see which price cuts paid back, then uses the slider on a product with a confident read to size the next price test.
Promotion planner
Filters Event analysis to coupons, then to deals, and compares the lift vs last year of each event type.
Category manager
Rolls up every event for one product and checks whether a listing update moved sales and conversion.
Finance lead
Switches the Recap to margin dollars and reads which price changes added or lost margin each week.
Agency strategist
Exports the events table to brief a client on the best-performing event types.
What changes for your team
Event results you can defend
Taking out last year's same days separates what an event did from what the season would have done anyway.
Pricing decisions from your own history
Each product's reading comes from its own prices and units, and the page says so when there is no reliable read.
Fewer forgotten changes
Detected price changes are analysed alongside the events your team logged.
What it needs, and what it doesn't do
What it needs
- An Amazon Vendor Central or Seller Central connection for weekly prices and units.
- For elasticity: at least 8 weeks with sales and a price spread of at least 5% between the cheapest and dearest week.
- For the Recap: a selling price that held steady for 4 weeks, then moved and held for 3 weeks, with 8 weeks of sales after.
- An Events calendar for logged deals and coupons, added in Data Trust. Event analysis can still analyse the price changes and tentpoles it detects.
- Traffic by product for the Sessions, Conversion and Buy box rows in Event analysis.
What it doesn't do
- It doesn't change anything on Amazon. It reads your data and does not change prices or listings.
- It looks back at what happened. It does not simulate future promotions, launches or events.
- Elasticity is an estimate from past prices. Products with too few weeks or too little price movement are marked Not enough weeks or Price barely moved, not given a guess.
- Events with no start date or product are skipped, and events with under 4 weeks after are left out unless you include them.
Frequently asked questions
See which of your price changes paid back.
Book a short walkthrough and we will run it on your Amazon data.