Abstract: An example system can include a server that includes or is associated with a keyword recommendation module. The keyword recommendation module can be configured to select keywords for a search engine for use in a search engine marketing campaign, wherein the search engine provides more traffic to Internet content of a publisher than other search engines, for the keywords. The module can also be configured to determine, per keyword, user engagement with the Internet content resulting from the traffic provided by the search engine for the keywords, according to one or more of time spent viewing the Internet content, page views of the Internet content, and dwell times. The module can also be configured to score, per keyword, the keywords according to the determined user engagement with the Internet content, and generate keyword recommendations according to the scoring of the keywords.

Abstract: An system can include a server that includes or is associated with a keyword price recommendation module. The module can be configured to recommend an optimal price for a keyword, per referral event, in a search engine marketing campaign. For making such a recommendation, the module can be configured to determine revenue generated per referral event for the keyword according to a number of referral events for the keyword for a plurality of users and revenue generated for the keyword by the plurality of users. It can also be configured to select a return on investment percentage for the keyword, and determine the optimal price for the keyword according to the revenue generated per referral event and the return on investment percentage. Additionally or alternatively, the keyword price recommendation module can be configured to calculate the return on investment percentage for the keyword according to at least one market condition.

Abstract: Disclosed is a system and method for providing automated micro-targeted advertisements to a small group of engaged users based on the users' interactions with each other. The systems and methods disclosed provide relevant advertisements to members of a small targeted online group, where the members of the group share common interests, behaviors, preferences, online activities, and the like. The advertisements include calls to action for a receiving user to consummate a transaction, which encourages product (or brand) engagement by specifically identifying friends (or other users who have an established relationship with the user) that may be interested in a product, thereby, providing an initial dialogue between the friends over the targeted product.

Abstract: A revenue share analysis module can determine individual session revenues for content items provided by content providers. The module can also determine total session content revenues for each of the content items according to the determined individual session revenues, and determine respective content values for each of the content items according to the determined total session revenues for each of the content items. It also may determine total session provider revenues for each of the content providers according to the determined total session revenues for each of the content items, and determine respective provider values for each of the content providers according to the determined total session revenues for each of the content providers. Also, it can determine revenue share offers according to the content values and/or the provider values.

Abstract: A system can include a server that includes or is associated with a revenue analysis module. The module can be configured to receive user web browsing session data from a data source. The session data may include page view data, page interaction data, and page referral data. The module may also be configured to determine page referral events, revenue generating events, and relationships between the page referral events and the revenue generating events, according to at least part of the session data. The revenue generating events may include events in which a user interaction with the webpage generates revenue. The module may also be configured to determine revenue generated by the revenue generating events per page referral event of the page referral events, according to the relationships between the page referral events and the revenue generating events.

Abstract: A system and method for generating a personalized trends module includes steps of: for a given user, producing a social timeline by logging content posted on the given user's accounts on social media sites; analyzing the social timeline for recently posted content to derive an interim summary of first trending topics for the given user; receiving from a content personalization platform an in-stream feed of second trending topics based on the user's recent on-line activity including page views, queries, and clicks; augmenting the social timeline with the second trending topics from the in-stream feed to produce an interim list of third trending topics; ranking the third trending topics by source category using a frequency index; selecting the highest ranking third trending topics from each source category; and presenting a personalized trends module with positions allocated to the highest ranking third trending topics.

Abstract: Methods and systems for providing content on a webpage includes rendering a webpage having a plurality of page areas. Each of the plurality of page areas is associated with an entity having display content. Selection of one of the plurality of page areas is detected. The selection causes a landing page to be rendered in place of the webpage. A return to the webpage from the landing page is detected. In response to the return, the selected page area of the webpage is modified to include at least one additional entity having associated display content.

Abstract: A system may measure the virality of content items on a network. The virality may be measured for Internet content using indices. Indices may be generated that represent the share or news worthiness of content. An indexer may monitor the content items and generate a score which may be used to identify which content items are most likely to receive a user access request or referral from the remote server. A logic generator may display visual elements as graphical representations of the index score.