Abstract: A server-based system is provided for analyzing and valuating social media campaign performance. The system collects online traffic data from member users of a social media channel, and tracks engagement activity with respect to a social media campaign operating on the channel according to parameters defined with respect to specific activities including: user interactions with media content of the campaign; user transactions as non-commercial data exchanges or commercial purchases conducted via the campaign; and user sharing of the campaign with other member users of the social media channel. The system establishes baseline performance thresholds and aggregates the tracked engagement activity with respect to the defined parameters. A graphical user interface is generated to display client feedback related to a comparison of the aggregated engagement activity with the established baseline performance thresholds for each of the defined parameters.

Abstract: A server-based system is provided for analyzing and valuating social media campaign performance. The system collects online traffic data from member users of a social media channel, and tracks engagement activity with respect to a social media campaign operating on the channel according to parameters defined with respect to specific activities including: user interactions with media content of the campaign; user transactions as non-commercial data exchanges or commercial purchases conducted via the campaign; and user sharing of the campaign with other member users of the social media channel. The system establishes baseline performance thresholds and aggregates the tracked engagement activity with respect to the defined parameters. A graphical user interface is generated to display client feedback related to a comparison of the aggregated engagement activity with the established baseline performance thresholds for each of the defined parameters.

Abstract: A server-based system is provided for analyzing and valuating social media campaign performance. The system collects online traffic data from member users of a social media channel, and tracks engagement activity with respect to a social media campaign operating on the channel according to parameters defined with respect to specific activities including: user interactions with media content of the campaign; user transactions as non-commercial data exchanges or commercial purchases conducted via the campaign; and user sharing of the campaign with other member users of the social media channel. The system establishes baseline performance thresholds and aggregates the tracked engagement activity with respect to the defined parameters. A graphical user interface is generated to display client feedback related to a comparison of the aggregated engagement activity with the established baseline performance thresholds for each of the defined parameters.

Abstract: A computer-implemented system and method is provided herein for optimization of social media campaigns. A hosted platform collects and stores online visitor traffic data from social media platforms and from storefronts on client platforms which are linked to social media campaigns operating on the social media platforms. Algorithms are executed to establish baseline performance parameters for the storefronts, and visitors of the social media campaigns and commercial platforms are identified and scored based on predetermined scoring metrics. The scores are aggregated with respect to the social media campaigns and/or the storefronts, and actual performances based on the aggregated scores are compared with the established baseline performance parameters. An interface may be generated for a client user associated with the commercial platform to represent one or more of the performance comparisons, and optionally provide alerts to underperformance or suggest future actions based on predicted performance.

Abstract: A computer-implemented system and method is provided herein for social commerce analytics and optimization. A hosted platform collects and stores online visitor traffic data from social media platforms and from commercial platforms linked to social media campaigns operating on the social media platforms. Algorithms are executed to establish baseline performance parameters for the commercial platforms based on the stored data, and visitors of the social media campaigns and commercial platforms are identified and scored based on predetermined scoring metrics. The scores are aggregated with respect to the social media campaigns and/or the commercial platforms, and actual performances based on the aggregated scores are compared with the established baseline performance parameters.