System and methods for analyzing and improving online engagement

Abstract

Systems and methods provide online tools for helping a business improve its online presence. A contact importance score rates a contact's engagement with business via purchases and online contact, and may further gauge the contact's engagement with other contacts and potential contacts. An engagement score rates a business' engagement with online visitors with respect to industry best practices. A method of generating the engagement score may include providing recommendations to the business for improving the engagement score. A method for recommending online content can identify public and privately-created content that is likely to engage a business' users. A website builder can include a tool for aligning content on the website. The website builder can further include a tool for creating a video for promoting the business.

We claim: 
     
         1 . A method, comprising:
 collecting, by a server computer electronically connected to a communication network, interaction data of a user; and   calculating, by the server computer and from the interaction data, one or both of: a contact importance score for each of one or more contacts that produced a portion of the interaction data; and an engagement score for the user.   
     
     
         2 . The method of  claim 1 , further comprising:
 for each contact for which the contact importance score is calculated:
 identifying, by the server computer, the contact from the interaction data; and 
 collecting, by the server computer, contact data from one or more data stores, the contact data being related to the contact's interactions with the user; 
   wherein the contact importance score is calculated for the contact from the contact data.   
     
     
         3 . The method of  claim 1 , wherein the contact importance score comprises a plurality of components, the components comprising one or more of a contact type, a contact location, a contact industry, a contact purchase history, a contact interactivity history, and a contact online reach. 
     
     
         4 . The method of  claim 3 , wherein calculating the contact importance score comprises:
 obtaining a value for each of the plurality of components;   adjusting the values of each of the components according to a predetermined weight corresponding to the importance of the component to an industry of the user; and   combining the values to obtain the contact importance score.   
     
     
         5 . The method of  claim 1 , further comprising:
 organizing, by the server computer, each discrete element of the interaction data as a feed entry in a single feed; and   displaying, by the server computer via an interface, the single feed to the user with the feed entries arranged by contact importance score of the contact that produced the discrete element of the interaction data.   
     
     
         6 . The method of  claim 5 , further comprising:
 receiving, by the server computer, a selection of one or more of the feed entries; and   updating the calculating step according to the selection.   
     
     
         7 . The method of  claim 1 , further comprising:
 collecting, by the server computer, engagement data comprising the interaction data and web presence data; and   calculating, by the server computer, one or more components of the engagement score from the engagement data;   wherein the engagement score is calculated using the components of the engagement score.   
     
     
         8 . The method of  claim 7 , further comprising presenting, to the user by the server computer, one or more recommendations for improving the engagement score. 
     
     
         9 . The method of  claim 8 , wherein the recommendations correspond to an age of the users business. 
     
     
         10 . The method of  claim 9 , further comprising determining the age of the user's business within a business lifecycle framework. 
     
     
         11 . The method of  claim 7 , wherein the components of the engagement score correspond to one or more best practices of an industry of the user's business. 
     
     
         12 . The method of  claim 7 , wherein the computer server calculates both of the contact importance score and the engagement score, the method further comprising:
 identifying, by the server computer, the contact from the interaction data; and   collecting, by the server computer, contact data from one or more data stores, the contact data being related to the contact's interactions with the user;   wherein the contact importance score is calculated for the contact from the contact data.   
     
     
         13 . The method of  claim 12 , wherein the contact importance score comprises a plurality of components, the components comprising one or more of a contact type, a contact location, a contact industry, a contact purchase history, a contact interactivity history, and a contact online reach. 
     
     
         14 . The method of  claim 1 , further comprising:
 identifying, by the server computer according to an algorithm, a plurality of potential content;   receiving, by the server computer from the user, a selection of the potential content as selected content;   posting, by the server computer, the selected content to one or more online platforms of the user; and   updating, by the server computer, the algorithm based on the interaction data;   wherein the interaction data comprises interaction of the user's audience with the selected content.   
     
     
         15 . The method of  claim 14 , wherein identifying the plurality of potential content comprises searching one or more data stores for public content using one or more keywords related to an industry of the user. 
     
     
         16 . The method of  claim 14 , wherein the interaction data is used to identify the potential content.