Abstract: Systems and methods of the present disclosure are directed to categorizing messages. A first server can receive, from a second server maintaining a plurality of social media messages, a message. The first server can categorize the message under a first category or a second category. The first server can process the message and determine a frequency of each of the words included in the processed message. The first server determines, using a probabilistic engine executing on the first server, a relevancy score of the modified message indicating a level of relevance between the message and the first category based on the determined frequency of each of the words. The first server, responsive to determining that the relevancy score satisfies a threshold, can categorize the message under the first category.

Abstract: Systems and methods of the present disclosure are directed to categorizing messages. A first server can receive, from a second server maintaining a plurality of social media messages, a message. The first server can categorize the message under a first category or a second category. The first server can process the message and determine a frequency of each of the words included in the processed message. The first server determines, using a probabilistic engine executing on the first server, a relevancy score of the modified message indicating a level of relevance between the message and the first category based on the determined frequency of each of the words. The first server, responsive to determining that the relevancy score satisfies a threshold, can categorize the message under the first category.

Abstract: A marketing system includes a prospect collecting landing page, an offer call-to-action landing page, and an automated communicated subsystem that interconnects the prospect collecting landing page and the offer call-to-action landing page. The system can further include a refer-a-friend call-to-action landing page, and an automated communication subsystem that interconnects the offer call-to-action landing page and the refer-a-friend call-to-action landing page.

Abstract: A method for engaging social network users comprises the steps of searching for relevant keywords across social networks, blogs, forums, and the like; filtering conversations that contain relevant keywords to show only conversations near a business location; and responding to location-based conversations, driving potential customers to a call-to-landing page, whereby one has a one-on-one conversation at or about a specific geographic location with people having a conversation relevant to a particular business.