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Dr. Oetker • Buynomics

How Dr. Oetker Achieved Incremental Revenue with Buynomics

Dr. Oetker Evolved from Conjoint Studies to Predictive, Scenario-Based Decisions with Buynomics



 

Founded in Bielefeld, Germany, Dr. Oetker is a global food manufacturer operating in over 40 countries. Its portfolio spans frozen meals, desserts, and baking products, all categories shaped by intense competition and retailer dynamics.

As part of its RGM maturity journey, Dr. Oetker sought a more forward-looking approach to pricing and promotion. While informative, traditional methods, such as conjoint studies and descriptive analyses, offered limited insight into market dynamics and future outcomes.

The RGM team needed a simple, intuitive solution to accelerate decision-making, one that could:

  • Predict volume shifts from price changes
  • Capture cross-elasticities across brands, categories, competitors, and private labels
  • Run layered scenarios combining price, distribution, and promotional adjustments
Results & Impact

"Buynomics helped us to achieve incremental revenue and make faster, quicker, and smarter decisions that are very data-driven."

Scenario Planning & Competitor Moves

“We’re using the Buynomics platform internally to war game and investigate different scenarios if competitors stepped up, helping us understand what that would mean for us, the category, and the retailer.”


Maturity & Partnership

“Buynomics really helps us move forward in our maturity journey, particularly on the pricing lever, where we want to move from market lagging to market leading.”

— Emma Swiers

International Secondment- Executive Manager Net Revenue Management

Make better RGM decisions, faster!

Run agent-based simulations with Buynomics’ Virtual Shoppers AI to optimize all revenue levers, capturing cross-effects, cannibalization, and competition.

2-4%

Profit impact*

95%

Predictive Accuracy*

80%

Faster Decision-making

*Depending on data quality and completeness

Case Studies

pladis testimonial video

"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 
View Case Study
Harrys video testimonial

"We are able to see how consumers will react to changes we propose and the impact on competitors as well. So it's really a shift in our thinking—away from assumption-based and survey-based research to data-driven, consumer-led decision-making in our business."

Stephan Hibbit

Senior Category Development Manager, Harry's
View Case Study