Abstract: Systems and methods for generating and displaying customer commitment framework data are provided. Exemplary methods for determining the shareability of online content may include obtaining, via a digital intelligence system, customer experience data regarding any of a product, a brand, and customer responses for a first entity, as well as periodically calculating, via the digital intelligence system, customer commitment framework data from the customer experience data, and generating a customer commitment dashboard that comprises a graphical representation of the customer commitment framework data.

Abstract: Systems and methods for generating and displaying customer commitment framework data are provided. Exemplary methods for determining the shareability of online content may include obtaining, via a digital intelligence system, customer experience data regarding any of a product, a brand, and customer responses for a first entity, as well as periodically calculating, via the digital intelligence system, customer commitment framework data from the customer experience data, and generating a customer commitment dashboard that comprises a graphical representation of the customer commitment framework data.

Abstract: Systems and methods for determining the shareability of online content and generating customer relevance scores. Exemplary methods for determining the shareability of online content may include obtaining social media data from one or more social media platforms relative to online content, calculating a customer relevance score that represents shareability of the online content, and providing the customer relevance score to an end user client device by the social media intelligence system.

Abstract: Systems and methods for determining customer brand commitment using social media data are provided herein. Some exemplary methods may include determining social media participants in at least one phase of a product cycle for a brand, obtaining social media data from one or more social media platforms for the participants relative to the brand, calculating a brand commitment score that represents a commitment level of the participants to the brand, and providing the brand commitment score to an end user client device by the social media intelligence system.

Abstract: Systems and methods for product cycle analysis using social media data are provided herein. Some exemplary methods may include evaluating social media conversations for an author, executing a semiotic analysis of the social media conversations to categorize the social media conversations, and computing a product commitment score for the author, for social media conversation having been categorize within a product commitment score domain.

Abstract: Systems and methods for determining the shareability of online content and generating customer relevance scores. Exemplary methods for determining the shareability of online content may include obtaining social media data from one or more social media platforms relative to online content, calculating a customer relevance score that represents shareability of the online content, and providing the customer relevance score to an end user client device by the social media intelligence system.