SEO RESULTS ANALYSIS BASED ON FIRST ORDER DATA

• US 20140095427A1
• Filed: 10/01/2013
• Published: 04/03/2014
• Est. Priority Date: 10/01/2012
• Status: Abandoned Application

• Current Assignee: The Rimm-Kaufman Group LLC (Dentsu Group, Inc.)
• Original Assignee: The Rimm-Kaufman Group LLC (Dentsu Group, Inc.)
• Inventors: Fox, Vanessa, Champion, Heather, Wadsack, Jeremy, Amandus, Sarah, Kintzer, Michael
• Application Number:
  US14/043,675
• Publication Number:
  US 20140095427A1
• Time in Patent Office: Days
• US Class Current: 707/603
• CPC Class Codes: G06F 16/245 Query processing
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques

Abstract

Search query analytic reports may assist a website operator in understanding web traffic patterns in relation to the website. A search query analytic report may be generated by receiving web search data for a website from multiple data sources and assigning the web search data into multiple website-specific categories of the website. The web search data is then analyzed based on the website-specific categories to generate the search query analytic report. Server status reports may provide details on errors in the indexing of web pages stored on a server that hosts a website. A server status report may be generated by analyzing the server log data to determine web page indexing behaviors of the one or more web crawlers with respect to the web pages stored on the server.

Claims

1. One or more computer-readable media storing computer-executable instructions that, when executed, cause one or more processors to perform acts comprising:

receiving web search data for a website from a plurality of data sources,

assigning the web search data into a plurality of website-specific categories of the website;

analyzing the web search data based on the website-specific categories; and

generating a search query analytic report for the website based on analysis of the web search data.

2. The one or more computer-readable media of claim 1, wherein the web search data includes keywords from search queries and search result positions of the website with respect to the search queries, and at least one of click-through rates to the website, impressions of the website, or query count of the website that are associated with the search result positions of the website.

3. The one or more computer-readable media of claim 2, wherein the assigning includes assigning each corresponding set of keywords and at least one of associated search result positions of the website, associated click-through rates to the website, associated number of impressions of the website, or associated query count of the website into a relevant website-specific category of the website, the each corresponding set of keywords being selected from the keywords of the search queries.

4. The one or more computer-readable media of claim 2, wherein the generating includes generating the search query analytic report to display, for each of one or more website-specific categories, a trend line over time for at least one of a visitor traffic volume, a category ranking, a number of impressions, a click-through rate, and a query count.

5. The one or more computer-readable media of claim 4, wherein the generating includes generating the search query analytic report to display an average click-through rate for each search result position of the website in multiple website-specific categories in a time interval.

6. The one or more computer-readable media of claim 2, wherein the generating includes generating the search query analytic report to display a projected change in at least one of a visitor traffic volume, a click-through rate, a number of conversions, and revenue per conversion based on at least on a projected change in a search result position of the website in a website-specific category.

7. The one or more computer-readable media of claim 6, wherein the generating includes generating the search query analytic report based on a projected change in the search result position of the website in the website-specific category, a change in a conversion rate for the website-specific category, and a change in revenue for the website-specific category.

8. The one or more computer-readable media of claim 2, wherein the generating includes generating the search query analytic report to display at least one of a change in visitor traffic volume, a change in a number of impressions, a change in click-through rate, a change in average search result position, and a change in query count in a specific time period for each of one or more web specific categories in a time interval.

9. The one or more computer-readable media of claim 1, wherein the web search data includes at least one of web analytics data from a web analytics tool of a search engine, webmaster data from a webmaster tool of the search, and keyword research data from a keyword research tool of the search engine.

10. The one or more computer-readable media of claim 9, wherein the generating includes generating the search query analytic report based on the webmaster data and the keyword research data to display at least one of one or more particular keywords of search queries relevant to the website that are missing from the web analytics data, a count of the one or more particular keywords, or a percentage of the one or more particular keywords in relation to a total number of keywords that are relevant to the website.

11. A computer-implemented method comprising:

receiving web search data for a website from a plurality of data sources, the web search data including at least one of web analytics data from a web analytics tool of a search engine, webmaster data from a webmaster tool of the search, and keyword research data from a keyword research tool of the search engine;

assigning the web search data into a plurality of website-specific categories of the website;

receiving, from an electronic device, a report request for specific website analytics data that is derived from the web search data;

analyzing the web search data based on the website-specific categories according to the report request;

generating a search query analytic report for the website based on analysis of the web search data, the search query analytic report including the specific website analytics data; and

sending the search query analytics report to the electronic device for presentation.

12. The computer-implemented method of claim 11, wherein the web search data includes keywords from search queries and search result positions of the website with respect to the search queries, and at least one of click-through rates to the website, impressions of the website, query count of the website that are associated with the search result positions of the website.

13. The computer-implemented method of claim 11, wherein the assigning includes assigning a corresponding set of keywords and at least one of associated search result positions of the website, associated click-through rates to the website, associated number of impressions of the website, associated query count of the website into each website-specific category of the website, each corresponding set of keywords being selected from the keywords of the search queries.

14. A system, comprising:

one or more processors; and

one or more modules stored in memory and executable by the one or more processors to;

receive server log data for a website server that includes information on website visits by one or more web crawlers of search engines;

analyze at least the server log data to determine web page indexing behaviors of the one or more web crawlers with respect to web pages of the website based on responses of the website server to the web crawlers; and

generate a server status report for the website based on analysis of at least the server log data, the server status report disclosing web page indexing behaviors of at least one search engine.

15. The system of claim 14, wherein the server log data includes an identifier of a web crawler that visited the website server, a uniform resource locator (URL) of the web page visited by the web crawler, a time and a date of visit, a response status code that is returned by the website server regarding the visit.

16. The system of claim 14, wherein the one or more modules are further executable by the one or more processors to generate the server status report to display a proportion or a correlation of successful web page indexing by the one or more web crawlers to unsuccessful web page indexing by the one or more web crawlers over a period of time.

17. The system of claim 14, wherein the one or more modules are further executable by the one or more processors to generate the server status report to display a percentage distribution of server status response codes that correlate to successful and unsuccessful web page indexing by a web crawler over a time interval.

18. The system of claim 14, wherein the one or more modules are further executable by the one or more processors to generate the server status report to display at least one of:

an amount of visits by a web crawler to each web page directory stored on the website server;

an identifier of a directory on the website server that generates a most amount of errors;

a uniform resource locator (URL) of a web page that is most visited by the web crawler;

a URL of a web page that cause the website server to return multiple different response status codes to the web crawler; and

a parameter and a parameter value of a URL that is visited by the web crawler.

19. The system of claim 14, wherein the one or more modules are further executable by the one or more processors to:

perform a reverse lookup of a host name that belongs to an agent presenting an identity of a web crawler; and

generate the server status report to display at least the host name of the agent in response to a discrepancy between the host name and the identity of the web crawler presented by the agent.

20. The system of claim 14, wherein the one or more modules are further executable by the one or more processors to compare the server log data and server error information received from a search engine, and to generate the server status report to display details that are unavailable in the server error information.