Abstract: Systems and methods for automated profile to promotion matching are provided. A plurality of segment variable value pairs that define a plurality of possible segments for a population of consumers are first identified, as are a plurality of promotion variable value pairs of a promotional design space. The variable value pairs are assembled into a plurality of test promotions by different permutations. The test promotions are administered, and results are collected. Trends between specific segment variable value pairs and promotion variable value pairs that result in statistically relevant shifts in the obtained responses are identified and used to define segments. The defined segments are then matched to promotion types (collected from a promotion repository) based upon likelihood of a positive result. The matches are then classified by a behavioral economic classification, which then may be outputted to a marketer to provide insights into consumer motivations.

Abstract: Systems and methods for the generation of a promotional design matrix with recommendation overlay are provided. A product, discount, quantity and offer structure selection are received from a user, or are imputed based upon previous offers. Variants for the discount vale and quantity are generated by incrementing these values. The quantity and its variants are each assigned to a column of a design matrix, while the discount and variants are assigned to the design matrix rows. At each intersection of a row and column of the design matrix a plurality of offer structures based upon the offer structure selection is generated. The system applies recommendation logic to flag offers that are most likely to be successful based upon their performance, feasibility and diversity. This flagging may include placing an icon, such as a star, next to the recommended offers.

Abstract: Methods and apparatus for improving the result of online promotion testing are disclosed. In one or more embodiments, base-lining is employed to improve the mapping between the online test promotion responses and projected in-store result. Alternatively or additionally, the test population responses may be adjusted to account for differences between the test population and the in store customer population.

Abstract: Methods and apparatus for implementing automated online promotion testing in an efficient and platform-agnostic manner are disclosed. A test management module interacts with a concept generator module, a promotion analytics module, and agnostically interacts with promotion administering platforms to automatically generate, administer, and analyze a large number of test promotions to online consumers in a manner that minimizes labor-intensive changes to the promotion administering platforms.

Abstract: Methods and apparatus for implementing automatic online promotion testing utilizing social media personalized user data and/or non-personalized data are disclosed. The social media personalized user data (including user chatter and other personalized data) and/or non-personalized data and/or other data that may not even be associated with social media are employed as indicators to segment the user population into test populations for the purpose of administering the online test promotions and/or to segment the user responses to gain insights. The test promotions are administered via the social media platform. The insights are then employed to create generalized public promotions for administering to the greater public.

Abstract: A system for tracking brand interactions is provided. The system includes a memory and at least one processor coupled to the memory. The at least one processor is configured to receive information defining a plurality of brand interactions, receive a first indication of a first interaction defined within the plurality of brand interactions from a first source system, receive a second indication of a second interaction defined within the plurality of brand interactions from a second source system different from the first source system, and record an association between the brand, the first interaction, the second interaction and the brand enthusiast.

Abstract: Methods and apparatus for implementing forward looking optimizing promotions by administering, in large numbers and iteratively, test promotions formulated using highly granular test variables on purposefully segmented subpopulations. The plurality of test promotions are associated with at least one behavioral economics principles. The responses from individuals in the subpopulations are received and analyzed. The analysis result is employed to subsequently formulate a general public promotion.

Abstract: Methods and apparatus for implementing forward looking optimizing promotions by administering, in large numbers and iteratively, test promotions automatically formulated using highly granular test variables on subpopulations. The responses from individuals in the subpopulations are received and analyzed. The analysis result is employed to subsequently formulate a general public promotion.

Abstract: Methods and apparatus for implementing forward looking optimizing promotions by administering, in large numbers and iteratively, test promotions formulated using highly granular test variables and automatically incorporating constraints on segmented subpopulations. The responses from individuals in the subpopulations are received and analyzed. The analysis result is employed to subsequently formulate a general public promotion.

Abstract: Methods and apparatus for implementing forward looking optimizing promotions by administering, in large numbers and iteratively, test promotions formulated using highly granular test variables on purposefully segmented subpopulations. The plurality of test promotions automatically account for covariates. The responses from individuals in the subpopulations are received and analyzed. The analysis result is employed to subsequently formulate general public promotion.

Abstract: Methods and apparatus for implementing forward looking optimizing promotions by administering, in large numbers and iteratively, test promotions formulated using highly granular test variables on purposefully segmented subpopulations. The plurality of test promotions are automatically proposed. The responses from individuals in the subpopulations are received and analyzed. The analysis result is employed to subsequently formulate a general public promotion.

Abstract: A system for tracking brand interactions is provided. The system includes a memory and at least one processor coupled to the memory. The at least processor is configured to receive information defining a plurality of brand interactions, receive a first indication of a first interaction defined within the plurality of brand interactions from a first source system, receive a second indication of a second interaction defined within the plurality of brand interactions from a second source system different from the first source system, and record an association between the brand, the first interaction, the second interaction and the brand enthusiast.