SYSTEM AND METHODS FOR ANALYZING AND IMPROVING ONLINE ENGAGEMENT

• US 20150347593A1
• Filed: 06/03/2014
• Published: 12/03/2015
• Est. Priority Date: 06/03/2014
• Status: Active Grant

• Current Assignee: Go Daddy Operating Company LLC (GoDaddy, Inc.)
• Original Assignee: Go Daddy Operating Company LLC (GoDaddy, Inc.)
• Inventors: Tsai, Justin, Berk, Josh, Mukherjee, Rajatish
• Granted Patent: US 9,646,096 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

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.

Claims

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 user'"'"'s 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.

17. A method, comprising:

identifying, by a server computer electronically connected to a communication network, a plurality of potential content comprising one or both of public content and original content; and

posting, by the server computer, one or more of the plurality of potential content to one or more online platforms of a user;

wherein identifying the original content comprises automatically commissioning the generation of the original content.

18. The method of claim 17, further comprising:

monitoring, by the server computer, interaction of the user'"'"'s audience with the posted potential content; and

updating, by the server computer, a ratio of original content to public content based on the monitored interaction, the ratio being used to identify the potential content.

19. The method of claim 17, further comprising:

displaying, by the server computer, the potential content to the user; and

receiving a selection by the user of the potential content, wherein the potential content that is posted to the one or more platforms is the potential content selected by the user.

20. The method of claim 17, further comprising:

determining, by the server computer, a strategic time for posting content to the one or more platforms, the strategic time depending on the user'"'"'s industry;

receiving a request from a user an identification of “

smart post”

potential content; and

posting the “

smart post”

potential content to the one or more platforms at the strategic time.