UNAFFILIATED WEB DOMAIN HOSTING SERVICE CLIENT RETENTION ANALYSIS

• US 20110178831A1
• Filed: 01/28/2011
• Published: 07/21/2011
• Est. Priority Date: 01/15/2010
• Status: Abandoned Application

• Current Assignee: The Endurance International Group, Inc. (Endurance International Group Holdings, Inc.)
• Original Assignee: The Endurance International Group, Inc. (Endurance International Group Holdings, Inc.)
• Inventors: Ravichandran, Hari
• Application Number:
  US13/015,604
• Publication Number:
  US 20110178831A1
• Time in Patent Office: Days
• US Class Current: 705/7.11
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0243 Comparative campaigns
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]
• CPC Class Codes: H04L 12/1822 Conducting the conference, e.g. admission, detection, selection or grouping of participants, correlating users to one or more conference sessions, prioritising transmission
• CPC Class Codes: H04L 41/5048 Automatic or semi-automatic definitions, e.g. definition templates
• CPC Class Codes: H04L 41/5083 wherein the managed service relates to web hosting
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/1014 based on the content of a request
• CPC Class Codes: H04L 69/329 in the application layer [OSI layer 7]
• CPC Class Codes: H04L 9/40 Network security protocols

Abstract

Based on usage patterns of clients who have purchased web domain offerings, using statistical analysis to determine factors that cause clients not to be retained.

Claims

1. A method of client retention assessment, comprising:

receiving website hosting client usage data for a plurality of website hosting services;

analyzing with a server the website hosting client usage data to determine patterns of hosting service usage;

associating the patterns of hosting service usage with client retention information; and

using a server to statistically analyze the associated patterns and client retention information to determine factors that predict website hosting clients not to be retained.

2. The method of claim 1, further including identifying at least one web site hosting client based on the determined factors to facilitate web site hosting client retention.

3. The method of claim 2, wherein identifying at least one web site hosting client based on the determined factors includes comparing the determined factors to website hosting client usage data for the plurality of website hosting services.

4. The method of claim 1, wherein the statistical analysis is covariance analysis.

5. The method of claim 1, wherein client retention information includes web site hosting client survival analysis results.

6. The method of claim 1, wherein the determined factors that predict website hosting clients not to be retained are based on website hosting client survival analysis results.

7. The method of claim 1, wherein determining factors that predict web site hosting clients not to be retained includes user interaction patterns of prospective clients who have viewed web domain offerings but have not purchased the web domain offerings.

8. The method of claim 1, wherein determining factors that predict web site hosting clients not to be retained includes incorporating third-party data therein.

9. The method of claim 8, wherein the third-party data includes at least one of unemployment data, interest rate data, macroeconomic data.