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AI Offers

Spend your promotional dollars more efficiently by using RevTrax Artificial Intelligence to handle Offer Management.

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Whitepaper: Machine Learning and Artificial Intelligence: What it Means for Marketers Machine learning and Artificial Intelligence are revolutionizing the business world. But how can it help you work smarter as a marketer?
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Save Time & Money with Dynamic Offers Powered by Artificial Intelligence.

RevTrax has developed an AI-based methodology that recommends and changes offer-values for CPG and retail brands across consumer segments with various engagement levels. The offer recommendations are based on over a decade of experience studying consumer response to offers and state of the art machine learning algorithms.

You don't need to provide any data assets to take advantage of this technology. Simply use the RevTrax Offer Management  Platform and we'll do the rest.

With Artificial Intelligence as part of an Offer Management Platform, every dollar of your promotional budget will work harder.

Save Millions!

A Leading CPG Brand spent $14.5 Million to drive 8.6 Million purchases. Using our optimization, they could have reduced the spend to $9.8 Million to achieve the same result, saving $4.7 Million!

AI Offers With RevTrax Delivers Real Results


Redemption Budget Reduction Across Two Brands


Redemption Budget Reduction Across Product Suite


Redemption Value Savings

$4.7 Million

Dollars Saved In Redemption Value

8.6 Million

Purchases Maintained with 32% Less Spend


AI-Powered Results Results With A Leading CPG Company

Consider the following facts from a case study for a leading national consumer packaged goods company. This CPG company spent $14.5 Million in redemption value to drive 8.6 Million purchases.  Using RevTrax AI Offers they could have reduced the spend to $9.8 Million in redemption value, saving $4.7 Million without impacting net revenue!

  • Two brands within the CPG company's portfolio could have reduced redemption value by 33% while maintaining net revenue.
  • An entire product line could have reduced their redemption values by 12.5%  without impacting net revenues. 
  • All other offer-values were validated and reinforced across various product lines.

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