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.
Leverage the power of predictive behavioral analytics to increase conversions and enhance loyalty and sales
Improve the consumer journey and campaign outcomes for both known and unknown audiences
Increase consumer intelligence with an additional data layer that is non-intrusive and adheres to all consumer data privacy laws
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)
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)
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.