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Trade Promotion Optimization (TPO)

Stop Guessing How Shoppers Will React to Your Promotions

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Optimize your trade spend before committing budget. Buynomics' TPO helps RGM teams accurately simulate promotional impact, anticipate competitor responses, and maximize ROI.

Ground your promotion modeling in agent-based simulations, not assumptions

Set Data-Driven Promotion Strategies

Transform how you manage trade spend by planning and simulating your entire promotion calendar to predict financial performance before you go live.

  • Integrate your promo funding directly into the planning phase to model different discount mechanics, multibuys, and bundle events with precise retailer scope and funding.

  • Plan the duration and frequency of your promotions based on a clear understanding of how your shoppers will respond with Buynomics' Virtual Shoppers AI.

Uncover True ROI with the Four Levels of Impact

Accurately attribute the precise ROI of every campaign to uncover how your trade spend truly affects your brand, portfolio, and the broader category. Buynomics platform calculates impact at four crucial levels so you never miss the hidden costs of a promotion:

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Direct Promotion Impact

See exactly how the promoted product performed during the promotional period.

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Total Product Impact

Identify timing shifts. Discover how much of your gain was simply forward-buying by consumers.

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Full Portfolio Impact

Measure cannibalization across your own portfolio and see the true net picture at the business level across all time periods.

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Overall Market Impact

Understand the overall impact of your promotion schedule on the market.

Master P&L Impact with Dynamic, Granular Reporting

Connect every promotion directly to your bottom line using customizable dashboards that deliver crystal-clear P&L attribution and comprehensive ROI tracking.

  • Build high-level dashboards and deep-dive reports to seamlessly analyze performance, tracing the exact financial impact from a single promoted SKU to your full portfolio and the broader category.

  • Visualize shopper movement to see exactly how consumers navigate and switch across your portfolio and category, allowing you to accurately attribute P&L impact and maximize the ROI of every campaign.

Generate an Optimal Promo Calendar with Prescriptive AI

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Move beyond manual scenario testing and let the Promo Decision Guide automatically build your most profitable promotional calendar based on your specific goals.

  • Input your target products, trade budget, promotional windows, and approved mechanics. Our decision guide instantly determines which SKU should run which promotion mechanic, at what promo depth, at what time, and at which POS.

  • Surface the highest-ROI strategy as the algorithm evaluates potential offers, competitor moves, and market dynamics behind the scenes to recommend the optimal promotional plan at the product-group level.

Base Your Decisions on Your Shoppers' Behavior

Buynomics' Virtual Shoppers AI

Make informed commercial decisions and develop your RGM strategy with confidence, knowing how your shoppers will behave. 

Buynomics' platform is powered by a unique, cutting-edge Virtual Shoppers AI that predicts your shoppers’ behavior and answers your key RGM questions holistically, considering all RGM levers. 

Achieve Your RGM Goals and Stay Ahead

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2-4% profit
impact*

Achieve up to 4% higher profit in your business by making more shopper-centric commercial decisions.

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Up to 95%
predictive accuracy*

Gain insights you can trust. Buynomics is the only solution that forecasts shopper behavior with up to 95% accuracy. 

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80% faster
decision-making

Reduce the time spent on manual analysis by up to 80%. Integrate various data sources and get best-in-class predictive accuracy.

*depending on data quality & completeness 

andrea

"Buynomics stands out for its accuracy, speed of analysis, and rapid implementation. We deployed it in just eight weeks - far faster than other tools that often take three months or more."

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Andrea Pezzillo

Head of Category and Revenue Growth Management at Danone

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"Buynomics makes scenario planning effortless. The ability to compare multiple pricing and portfolio scenarios side by side, right next to our current setup, gives us instant clarity and confidence in our decisions."

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Michael Giambra

Head of Commercial Strategy at pladis Global

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

Executive Manager Net Revenue Management at Dr. Oetker

 

Buynomics Receives 2025 POI Best-in-Class Category Distinctions

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FAQs

Can Buynomics price core SKUs?

Yes! Pricing core SKUs is one of the Buynomics' main functions. Based on your pre-selected price range, the tool allows you to find the best price for your SKUs with regard to your KPI (e.g., maximum profit).

Does Buynomics capture the effects of new price points and promotions on the total mix?

Yes! Buynomics allows you to forecast the effects of new price points and promotions on the portfolio, including competitor reactions.

What does the implementation timeline for Buynomics look like?

We can implement Buynomics within 4-12 weeks for your core categories. The timeline depends on the scope of the project, the quality of the data, and the overall market complexity.

Can Buynomics price core SKUs?

Can Buynomics price core SKUs?

Yes! Pricing core SKUs is one of the Buynomics' main functions. Based on your pre-selected price range, the tool allows you to find the best price for your SKUs with regard to your KPI (e.g., maximum profit).

Does Buynomics capture the effects of new price points and promotions on the total mix?

Does Buynomics capture the effects of new price points and promotions on the total mix?

Yes! Buynomics allows you to forecast the effects of new price points and promotions on the portfolio, including competitor reactions.

What does the implementation timeline for Buynomics look like?

What does the implementation timeline for Buynomics look like?

We can implement Buynomics within 4-12 weeks for your core categories. The timeline depends on the scope of the project, the quality of the data, and the overall market complexity.