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Predictive Purchase Data

Leverage over a decade of consumer behavioral insights to deliver better performing offers and incentives. 

 

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Brands that offer motivation based personalization can increase their profits by up to 15%

Ultimately marketers want to get the best possible return on investment on their campaigns. Delivering promotions that match with an audience's previous behavior is more likely to drive conversions than ones that are generic. With Predictive Purchase Data (PPD), companies can target consumers based on previous behaviors resulting in a rise in new business, repeat customers, engagement, and other key metrics.

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. 

In compliance with data privacy laws, PPD utilizes a predictive engine built without the use of any sensitive personal information or any private consumer data. 

Eliminate Wasted Costs and Drive ROI with PPD

 

  1. Increase conversions, loyalty and sales with predictive behavioral targeting

  2. Improve consumer journeys through motivation-based personalization

  3. Realize the full potential of your audience data and determine ideal promotion strategies 

How Predictive Purchase Data Works

 

 

 

Effectively Target Consumer 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 retailer or CPG which type of retailer a given consumer is likely to purchase a category of products (i.e. baby care) at.

  • 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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Demographic targeting is dead. Promotions that align with a consumer's previous

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

 

We'd love to help with your promotional marketing needs.

Speak to a specialist today.