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Predictive Purchase Data™

Personalize, segment and target both known and unknown audiences with predictive behavioral analytics that drive new business, repeat purchases and brand loyalty.


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Brands that deploy behavioral marketing can increase their profits by up to 15%

Predictive Purchase Data™ (PPD) empowers brands to personalize, segment and target known and unknown audiences based on their behavioral tendencies, in a privacy by design framework. 

By expanding on the traditional use of machine learning to classify consumers, PPD uses causal analysis to determine what it will take to motivate an individual consumer to convert, driving more sales, customer acquisition, repeat purchases and brand loyalty. 

Best of all, PPD, a data service provided by RevTrax, utilizes a predictive engine built without the use of any sensitive personal information while in compliance with consumer privacy laws. There are no dependencies on cookies, demographic data or browser preference, allowing for a non-intrusive, personalized consumer experience. 

Deliver 1:1 Personalization in a World That's Becoming Increasingly Private


  1. Leverage the power of predictive behavioral analytics to increase conversions and enhance loyalty and sales

  2. Improve the consumer journey and campaign outcomes for both known and unknown audiences

  3. Increase consumer intelligence with an additional data layer that is non-intrusive and adheres to all consumer data privacy laws

"63% of consumers will stop buying from brands that use poor personalization tactics." - Smart Insights 

Consumers prefer personalized messaging. True 1:1 personalization means recognizing, understanding and relating to customers with individualized marketing. 

PPD is an additional data later which helps customize each individual's experience throughout the customer journey. 70% of consumers say a company's understanding of their personal needs influence their loyalty. (Salesforce)

Personalization drives customer satisfaction, brand loyalty and repeat purchases


Loyal customers are the best customers. According to the 2020 Bond Brand Loyalty report, just 25% of the 68,000 consumers surveyed are very satisfied with the levels of personalization they see from loyalty programs. 

Irrelevant marketing is a universal turnoff. "When personalization is done well, there's a 6.4x lift in satisfaction, further endearing people to the brand, cementing brand loyalty and encouraging them to shop more." (SailThru)

How It Works




Engage Both Known and Unknown Audiences with 6 Types of Predictive Models

  • Price Sensitivity: Helps marketers predict how price sensitive a new or existing customer is within a product category.

  • Full Price Buyer: A simplified version of Price Sensitivity that helps marketers predict if a new or existing customer is a full-price buyer within a product category. 

  • Retailer Preference Rank: Helps brands or retailers understand how important each retailer is to a given customer for a specific category of spend. 

  • Retailer Class of Trade Preference: Tells a brand which type of retailer (grocery store, drug store, etc.) a given consumer is likely to purchase a category of products at (i.e. baby care).

  • Retailer Preference: Helps retailers understand where else a given customer is spending money on a certain category of product and create tailored messaging for those customers to win those purchases. 

  • Best Time to Engage: Helps a brand maximize marketing impact by deploying ads or messaging for a given consumer at the optimal time that consumer is likely to engage and convert.

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Promotions that align with a consumer's likely buying

behavior are much more likely to convert than ones that don't,

resulting in the types of business outcomes every brand desires.


Speak to a specialist today to learn more.