NEW 👉 Commercial Decision Lab • Issue 1: The hidden trade-off behind every new pack size
Nestlé operates more than 2,000 brands worldwide across coffee, pet care, nutrition, and food and snacks, including Nespresso, KitKat, and Purina, with a presence in 185 countries.
Before Buynomics, testing an early-funnel Price Pack Architecture (PPA) idea meant commissioning a consumer study. Useful but slow: each study took weeks to field, and the team could test only a handful of ideas at a time. Ideation moved at the pace of the research calendar, not the business.
A key reason Nestlé USA chose Buynomics is that it helps answer the question "What will someone do in the future?" Understanding what shoppers are likely to do next matters far more than understanding what they've done in the past.
Since implementing Buynomics, the team can:
"Buynomics' biggest value is that it shifts you from backward-looking analysis to reliably predicting what consumers will do next, which is the edge you need when they're moving faster than historical data can keep up."
"I'd recommend Buynomics to my peers because the data science is strong. Their tools are solid, and the math is really good. That's what matters most."
“As an RGM practitioner, half of what I look for in a good vendor partner is someone willing to work with me, meet me where I am, and tailor their approach to my context. I've found that to be the case here."
Sr. Director & Head of Strategic Revenue Management, Nestlé USA
The team felt there was headroom based on a willingness-to-pay statement, so they weighed a range of options: raise the price, change the pack's attributes, or find some combination that would actually grow the category. Buynomics helped show that the best solution was to improve the product's quality, make it a little bigger, and raise the price accordingly. Doing that together let the team build better value.
When a competitor or private-label product moves, the team uses Buynomics to scenario-plan the response: should they react, and if so, how? In one recent case, after weighing a few options, they concluded there was no need to act at all, a decision they could make with confidence rather than guesswork.
"Buynomics gave us an answer we probably wouldn't have seen otherwise, and let us take an action we wouldn't have been able to take without it."
“Buynomics lets us scenario-plan: that competitor moved, that private-label product moved, what should we do? We looked at a few options recently and concluded we didn't need to do anything. It stops the swirl and moves the conversation from spinning on a problem to monitoring and evaluating it."
"Raising the price wasn't the only move. Combining it with the added quality and size let us build real value for the consumer, and capture enough of that value to reinvest in the product itself."
Sr. Director & Head of Strategic Revenue Management, Nestlé USA
Profit impact*
Predictive Accuracy*
Faster Decision-making
*Depending on data quality and completeness
If you're serious about unlocking RGM, Buynomics is the tool to help you get there. It drives standardisation, harmonisation, and simplification across the markets, unlocking decision-making in a fast, repeatable way, making RGM the growth pillar for profitable growth solutions in the market."
Niels Bultman
Global Director RGM, Danone
The simplest way to think of Buynomics is it's a what-if machine. You can put in multiple scenarios and questions around price and promotion, and NPD delists. That changes the game and gives you so much more power, knowledge, and context to bring to retailers."
Calum Burns
Category Manager, Harry's
Buynomics helps us optimise our portfolio to drive volume growth, not just cash. Now we can evaluate the impact on profit and revenue within the tool in hours."
Tino De Oliveira
Head of Net Revenue Manager, The Compleat Food Group
Buynomics is a one-stop shop for modeling pricing, promotion, and PPA. We can run multiple scenarios very quickly and get key outcomes, and the platform is extremely intuitive to use."
Emily Dixon
Senior Revenue Growth Manager, Lindt
Now we actually have a tool that is founded in data, that uses AI, that has all of the virtual shoppers that are out there being modeled around what the impact might be if we take these actions."
Mike Giambra
Head of Commercial Strategy, Pladis