Weather, bank holidays and promotions push your sales around every week, and that hides what price is doing. Sipnomy separates them, product by product, and turns the result into pricing decisions measured in pounds.
Paste a year of weekly sales for one product and get its price elasticity in about a minute. Move the slider to see what it tells you.
One product, one sales file and a simple model. Runs in your browser.
Dozens or hundreds of products, several channels, promotions every month, and products that take sales from each other. We build the model from your full data and hand you a price and promotion plan in pounds.
Fixed scope, three to six weeks, under NDA.
This is a real model run on our example product: two years of weekly sales, split into the effects behind them. Once they are pulled apart, the price effect becomes something you can plan with.
The calculator is deliberately simple, so anyone can see the method at work. Pricing a real range takes more data, more effects and people who stand behind the answer.
Which products can take a price rise this year, and how big should each one be?
Price increasesWhich promotions pay for themselves, and which only pull sales forward from other weeks?
PromotionsIf the 2L goes up 10p, how much moves to the 1.5L and how much leaves the brand?
Range and pack sizesWhere will the sugar levy changes hit your range, and when is reformulating worth the cost?
Sugar levyWhat happens to your revenue if a retailer passes a list price rise through in full, or only half of it?
RetailersHow much did this summer's weather and the World Cup add, so next year's targets start from a fair baseline?
PlanningA call to agree the decisions you face and the data you hold. NDA and data agreement signed before anything moves.
You send extracts using our templates. We check them and come back with questions.
We build your portfolio model and test it on weeks it has not seen, so you know how accurate it is.
You get the plan, the readout and the scenario model, and we walk your team through each recommendation.
Send fresh data and we update the model and the plan before each price change or retailer meeting.
The headline number, the plan and how sure we are, written for your finance director.
Product by product and channel by channel, with the expected effect on volume, revenue and profit.
Test other price moves, cost changes or retailer reactions yourself, without waiting for us.
Every assumption and test written down, so your analysts can check our work.
So you can see how far to trust each number before you act on it.
We hold back recent history and check the model predicts it before we show you any result.
Met Office temperatures and GOV.UK bank holidays, matched to every week of your sales.
NDA and data agreement first, with the option to run everything inside your own cloud.
The demo takes a minute. A first conversation about your range takes thirty, and you will come away knowing what data we would need and what an engagement would cover.