Price Optimizer
Find the price that grows revenue and margin without losing volume
Price Optimizer measures how shoppers respond to price for every SKU, retailer and channel in your FMCG portfolio, then shows you the price point that meets your revenue, margin and volume goals together.
Standalone solution. No bundle, no full-suite commitment.
- Revenue
- 0.0%
- Margin
- 0.0%
- Volume
- 0.0%
Today’s price. Move the slider to test a change.
Illustrative category model, not client data. Guardrail: volume no worse than −2%.
Most price decisions still start from last year’s list price
A flat increase across the range is easy to agree on and expensive to get wrong.
Blanket increases
Every SKU gets the same percentage, even though some can carry more and others lose shoppers fast.
Unmeasured elasticity
Everyone knows price moves volume. Few teams know by how much for each pack size, retailer or channel.
Margin vs. volume standoff
Finance pushes margin, sales defends volume, and no one can put the trade-off in numbers both sides accept.
The pricing questions it answers
Each answer is specific to a SKU, a retailer and a channel, not an average across the business.
How sensitive is each SKU to price?
Elasticity estimates by SKU, pack size, retailer and channel, built from your own sales history.
What happens if we move price by X%?
Simulate a change before it goes live and see the expected effect on volume, revenue and margin.
Where is the price ceiling?
See the point where a higher price stops adding revenue and starts sending shoppers elsewhere.
How should our pack-price ladder look?
Keep the gaps between pack sizes and tiers logical so shoppers trade up instead of trading out.
Scenario testing before you commit
Compare price scenarios side by side and see the revenue, margin and volume trade-off of each, before a single shelf price changes.
- Trade-off analysisRevenue, margin and volume side by side for every option, so the choice is explicit.
- Pack-price architectureTest moves across pack sizes and price tiers together, not one SKU at a time.
- Retailer and channel viewSee how the same move lands in each retailer and channel before you negotiate.
| Scenario | Revenue | Margin | Volume |
|---|---|---|---|
| R1Targeted increase on core packs Recommended | +4.2% | +6.8% | −0.6% |
| R2Blanket +5% across the range | +1.1% | +3.9% | −4.8% |
| R3Hold price, deepen promotions | +2.0% | −1.5% | +3.2% |
How Price Optimizer works
From your data to a decision in four steps.
Connect your data
Sell-out, shipments, list and net prices, plus competitor prices where you have them.
Model price response
Measure how volume reacts to price for every SKU, retailer and channel combination.
Test scenarios
Compare price moves side by side against revenue, margin and volume targets.
Decide and track
Take a recommended price per SKU into pricing talks, then track results against the forecast.
Runs on the Smart Value™ platform: start from your data with Commercial Analytics.
Built for the people who own the price
- Revenue growth managementOne view of price, volume and margin across the portfolio.
- Pricing and commercial financePrice moves that can be defended with numbers, before they go live.
- Key account managersRetailer-specific evidence for list price and shelf price conversations.
Questions about Price Optimizer
What data does Price Optimizer need?
Sales history at SKU level (sell-out, shipments or both), list and net prices over time, and the retailers and channels you sell through. Competitor prices improve the model when you have them, but they are not required to get started.
Can we use Price Optimizer without the other Smart Value™ solutions?
Yes. Each Smart Value™ solution is built, sold and used on its own. There is no bundle and no full-suite commitment.
How is this different from a pricing spreadsheet?
A spreadsheet applies the assumptions you type into it. Price Optimizer estimates price response from your actual sales data, for each SKU, retailer and channel, and shows the revenue, margin and volume trade-off of every scenario.
Does it account for differences between retailers and channels?
Yes. Shoppers respond to price differently by retailer and channel, so the recommendations are made at that level rather than as one national average.
Who inside the business uses it?
Typically revenue growth management, pricing, commercial finance and key account teams. They use the same numbers, which makes pricing decisions faster to agree.
See Price Optimizer on your own data
Bring your categories, your retailers and your questions. We will show you what the answers look like.