System and method of analyzing user engagement activity in social media campaigns
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.
1. A server system comprising a non-transitory computer-readable medium, the computer-readable medium further comprising program instructions executable by a processor to direct the performance of:
predicting engagement activity by member users of one or more social media channels with respect to a social media campaign offered into the one or more social media channels, the predicted engagement activity associated with one or more parameters defined with respect to each of a plurality of specific activities comprising
user interactions with media content of the social media campaign,
user transactions as non-commercial data exchanges or commercial purchases conducted via the social media campaign, and
user sharing of the social media campaign with other member users of the social media channel;
establishing baseline performance thresholds with respect to each of the plurality of parameters; and
generating a user interface for a display unit associated with the client, the interface comprising client feedback related to a comparison of the predicted engagement activity with the established baseline performance thresholds for each of the defined parameters.
2. The system of claim 1 , the client feedback comprising recommended modifications to increase engagement performance with respect to one or more of the defined parameters.
3. The system of claim 2 , the recommended modifications determined by:
generating one or more virtual modifications,
testing predicted engagement performance results for each of the virtual modifications with respect to one or more of the defined parameters, and
recommending one or more of the virtual modifications based on potential increases in engagement performance for respective baseline performance thresholds.
4. The system of claim 2 , the recommended modifications determined by:
receiving from the client one or more potential modifications,
testing predicted engagement performance results for each of the received potential modifications with respect to one or more of the defined parameters, and
recommending implementation of one or more of the received potential modifications based on potential increases in engagement performance for respective baseline performance thresholds.
5. The system of claim 2 , the predicted engagement activity based on initial settings for a respective social media campaign.
6. The system of claim 5 , the predicted engagement activity further based on transference of the social media campaign from a first social media channel to a second social media channel.
7. A server system comprising a non-transitory computer-readable medium, the computer-readable medium further comprising program instructions executable by a processor to direct the performance of:
predicting values for one or more parameters customized with respect to a social media campaign for one or more social media channels, each of the parameters defined with respect to engagement levels by member users of the respective social media channels;
collecting online traffic data from member users of the social media channels via a communications network;
tracking engagement activity comprising
member user interactions with media content of the social media campaign,
member user transactions as non-commercial data exchanges or commercial purchases conducted via the social media campaign, and
member user sharing of the social media campaign with other member users of the social media channel;
aggregating the tracked engagement activity with respect to the defined one or more parameters; and
generating a user interface for a display unit associated with the client, the interface comprising client feedback related to a comparison of the aggregated engagement activity with the predicted values for the defined one or more parameters.
8. The system of claim 7 , the client feedback comprising recommended modifications to increase engagement performance with respect to one or more of the defined parameters.
9. The system of claim 8 , the recommended modifications determined by:
generating one or more virtual modifications,
testing predicted engagement performance results for each of the virtual modifications with respect to one or more of the defined parameters, and
recommending one or more of the virtual modifications based on potential increases in engagement performance with respect to one or more of the defined parameters.
10. The system of claim 8 , the recommended modifications determined by:
receiving from the client one or more potential modifications,
testing predicted engagement performance results for each of the received potential modifications with respect to one or more of the defined parameters, and
recommending implementation of one or more of the received potential modifications.
11. The system of claim 8 , the predicted engagement activity based on initial settings for a respective social media campaign.
12. The system of claim 11 , the predicted engagement activity further based on transference of the social media campaign from a first social media channel to a second social media channel.