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This list was curated by our group of data experts with various data backgrounds spanning over 35 years. Our experts begin by analyzing consumers who self-reported their intent to purchase a specific product, their purchasing history regarding specific products, and their preferred channel as compared to those that did not. The resulting algorithm is applied to a dataset of only known buyers and responders. These filters will always generate a higher-than-average response rate in any channel. The study data sets were augmented with demographic, lifestyle, interest, behavioral, financial, recency, frequency, monetary, and other transactional data, then modeled to create this responsive specific audience of intenders. There are over 3,000 data sources that contribute information to this unique solution.
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