Prosecution Insights
Last updated: April 19, 2026
Application No. 16/950,432

Dynamic General Configurability of Web Pages To Optimize Content for Search Performance and User Experiences

Final Rejection §103
Filed
Nov 17, 2020
Examiner
EL-BATHY, MOHAMED N
Art Unit
3624
Tech Center
3600 — Transportation & Electronic Commerce
Assignee
Brightedge Technologies Inc.
OA Round
10 (Final)
30%
Grant Probability
At Risk
11-12
OA Rounds
3y 10m
To Grant
64%
With Interview

Examiner Intelligence

Grants only 30% of cases
30%
Career Allow Rate
71 granted / 235 resolved
-21.8% vs TC avg
Strong +33% interview lift
Without
With
+33.3%
Interview Lift
resolved cases with interview
Typical timeline
3y 10m
Avg Prosecution
53 currently pending
Career history
288
Total Applications
across all art units

Statute-Specific Performance

§101
37.8%
-2.2% vs TC avg
§103
45.5%
+5.5% vs TC avg
§102
10.6%
-29.4% vs TC avg
§112
4.9%
-35.1% vs TC avg
Black line = Tech Center average estimate • Based on career data from 235 resolved cases

Office Action

§103
DETAILED ACTION This Final Office Action is in response Applicant communication filed on 12/9/2025. In Applicant’s amendment, claims 1, 8, and 14 were amended. Claims 1-2, 5-8, 11-15, and 18-20 are currently pending and have been rejected as follows. Response to Amendments Applicant’s amendments necessitated new grounds of rejection under 35 USC 103. Response to Arguments Applicant's prior art arguments have been fully considered but they are not persuasive to overcome the rejection. Applicant argues on p. 8-9 that the combination of Burhanuddin and Batista do not disclose claim 1 because Burhanuddin discloses general information regarding marketing data and Batista discloses adjusting a website to include additional links based on an analysis of the links to the website, stating that the links of Batista and the market data of Burhanuddin are disparate concepts and analysis of one does not suggest analysis of the other. Examiner respectfully disagrees. Burhanuddin is relied on for the marketing data analytics. Batista is relied on for analyzing web page data. A person having ordinary skill in the art would combine Batista’s web page analytics with Burhanuddin’s marketing data analytics to include adjusting content for webpages in an effort to increase web page rankings, which is a goal discussed throughout applicant’s specification. For example, see specification [0007]-[0018]. Applicant argues on p. 10 that the references do not disclose “wherein the adjustment is selected from a set of adjustments including: adjusting mobile image and video media, adjusting product offers, adjusting calls to action, adjusting personalized content, adjusting marketing offers, and adjusting user experiences” because nothing in Burhanuddin suggests that received marketing data are used to adjust content of a webpage and nothing in Burhanuddin suggests that these items are used to adjust content of a webpage in response to processing of marketing data.Examiner respectfully disagrees. Burhanuddin expressly supports the modification and rendering of web content in response to marketing data analytics. See previously cited [0037] “Examples of the assets 182 include, but are not limited to, image, text, document, video, audio, font, and metadata … the content publishing and management engine 182 enables multisite, i.e. multiple websites and mobile content, management workflows, and commerce, i.e. personalized shopping experiences that incorporate video, social, and other dynamic media;” [0041] “The marketing apparatus 110 also includes a content personalization engine 196. The content personalization engine 196 enables the user to provide different digital experiences to the customers when different customers visit same webpage or same application of the user” note the personalization of content and user experience. Further note in [0041] the personalization based on A/B testing and analytics data; [0042] “The campaigning and messaging engine 198 customizes the messages” corresponding to the marketing offers; [0073]-[0076] “the recommendation system 410 can be trained to make recommendations based on the current context of a user” note the intent modeling to identify target nodes and make recommendations based on a user’s current context corresponding to the adjustment of calls to action. Claim Rejections - 35 USC § 103 The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. Claims 1-2, 5-8, 11-15, and 18-20 are rejected under 35 USC 103 as being unpatentable over the teachings of Burhanuddin et al., US 20180330248 A1, hereinafter Burhanuddin, in further view of Batista Reyes et al., US 20090150372 A1, hereinafter Batista, in view of De Datta et al, US Patent No. 8949254 B1, hereinafter Datta. As per, Claims 1, 8 Burhanuddin teaches A method comprising: / A system comprising: one or more computer-readable medias configured to store instructions; one or more processors coupled to the one or more computer-readable medias and configured to execute the instructions to cause or direct the system to perform operations, the operations comprising: receiving, at a computing system, one or more types of marketing data that includes one or more of: paid media spend data, paid media performance data, customer platform data, customer relationship management platform data, and account based marketing system data; (Burhanuddin [0043] “The marketing apparatus 110 also includes marketing and advertisement spend … showing advertisements on websites, as search results, social advertisements, and other form of advertising … The analytics data 192 includes information on how the marketing content performed. The customer data 186 further indicates … who all among those customers ended up in performing a transaction”) […], wherein the adjustment is selected from a set of adjustments including: adjusting mobile image and video media, adjusting product offers, adjusting calls to action, adjusting personalized content, adjusting marketing offers, and adjusting user experiences; (Burhanuddin [0037] “Examples of the assets 182 include, but are not limited to, image, text, document, video, audio, font, and metadata … the content publishing and management engine 182 enables multisite, i.e. multiple websites and mobile content, management workflows, and commerce, i.e. personalized shopping experiences that incorporate video, social, and other dynamic media;” [0041] “The marketing apparatus 110 also includes a content personalization engine 196. The content personalization engine 196 enables the user to provide different digital experiences to the customers when different customers visit same webpage or same application of the user” note the personalization of content and user experience. Further note in [0041] the personalization based on A/B testing and analytics data; [0042] “The campaigning and messaging engine 198 customizes the messages” corresponding to the marketing offers; [0073]-[0076] “the recommendation system 410 can be trained to make recommendations based on the current context of a user” note the intent modeling to identify target nodes and make recommendations based on a user’s current context corresponding to the adjustment of calls to action) generating, at the computing system, a first set of instructions, configured to implement the adjustment to content for each of the plurality of webpages; (Burhanuddin [0054] “The computer-readable media includes computer-readable instructions executable by the one or more processors. The instructions may optionally implement one or more components of analytics system 208 and/or recommendation system 210”) […]; after determining the adjustment to content configured to be applied to each of the plurality of webpages, […]; (Burhanuddin [0037] “The marketing apparatus 110 includes a content publishing and management engine 182 that enables the user to create websites and other content. The content publishing and management engine 182 provides an end to end workflow to the user … editing and republishing, of content.” Note the republishing of content corresponding to the adjustment to content applied to webpages) […]. Burhanuddin does not explicitly teach, Batista however in the analogous art of web page optimization teaches processing, via the computing system, the marketing data to determine an adjustment to content for each of a plurality of ecommerce webpages of an ecommerce website, the plurality of webpages being configured to present product information in a persistent manner independent of a user query and, the adjustment configured to adjust content presented by each of the plurality of webpages when each of the plurality of webpages are rendered by adjusting executable computer instruction code of each of the plurality of webpages, the executable computer instruction code for each of the plurality of webpages configured to render individual ones of the plurality of webpages in response to navigation to individual ones of the plurality of webpages and the adjustment configured for each of the plurality of webpages, and selected based on the marketing data for application to each of the plurality of webpages; (Batista [0020] “The present invention provides a tool, that using log files for hyperlink analysis in a SEO tool of the SEO suite, extracts a larger number of incoming links for the user website, because it extracts that information from the website's log file. The tool does this for every single page on the website automatically. The tool uses the extracted hyperlink information, to identify link rich and link poor pages. Pages in the site, that doesn't get many links and pages on the site that get a lot of links. The idea is that the user can optimize the site by linking the link rich pages to the link poor ones. ” Note the processing of the SEO data to determine an adjustment to pages of a website corresponding to the processing of the marketing data to determine an adjustment to content for webpages of an ecommerce website; [0054] “the pages are optimized by the user, following the metrics that the present invention has calculated based on the selected competitors feature. The final result is the user's optimized pages” noting the optimized pages corresponding to the adjustments to content for each of the webpages and the optimizations/adjustments made based on the calculated metrics/marketing data) Before the effective filing date of the claimed invention, it would have been obvious for one of ordinary skill in the art to modify Burhanuddin’s web page optimization to include adjusting content for webpages independent of a user query in view of Batista in an effort to increase web page rankings (Batista [0053] & MPEP 2143G). Burhanuddin / Batista do not explicitly teach, Datta however in the analogous art of web page optimization teaches […] adjusting […]; (Datta 3:45-47 “Modifications may be identified at 104 for the main body of content of a page as well as for content comprising other parts of a page such as metadata, titles, section headings, captions, tags”) organizing, at the computing system, the first set of instructions into executable computer instruction code, the executable computer instruction code configured to be executed by a web browser to cause the adjustment to content for each of the plurality of webpages; and (Datta col. 3, ln. 67-col. 4, ln. 1-5 “ modifications are integrated in a manner or format that allows the resulting content to be crawled. For example, added content may be loaded directly into the HTML (HyperText Markup Language) of a page. In various embodiments, added content may be presented in any appropriate manner, including inline with previously existing content and/or separately via one more dedicated widgets”) […] selecting one or more of the plurality of webpages as target webpages in which the adjustment to content is to be implemented, the selection of the target webpages based on web analytics of the plurality of webpages and the target webpages selected as being the only webpages of the plurality of webpages for implementation of the adjustment; (Datta in figs. 2-3 noting the identification of pages to include content based on matching technique; col. 3, ln. 60-66 “At 304, the set of pages is optionally categorized based on one or more metrics. In various embodiments, pages may be categorized based on metrics such as crawl frequency, frequency of page views, user browsing behavior, number of inlinks to a page, number of external links from a page, etc., and prescribed thresholds associated with such metrics;” col. 3, ln. 29-42 “Such content that should appear may be compared to existing content to identify potential modifications at 104. In various embodiments, the potential modifications identified at 104 may include altering existing content (e.g., reorganizing, replacing, or otherwise adjusting existing content and/or the presentation of content), adding new content (e.g., synonyms or other interchangeable expressions for important terms, links to other pages or resources, etc.), smearing content from any appropriate source (e.g., adding content to a page that is extracted from a related and/or relevant source), surfacing content that was previously not static and hence not searchable or crawlable, moving content (e.g., from one portion of a page to another portion of the page or from one page of a website to another page of the website);” col. 4, ln. 46-56 “the expanded content is optionally matched against a set of content using a relaxed matching technique to obtain a mapping of the page to a subset of relevant content. The set of content may include any queries, terms, keywords, phrases, expressions, or other identifiers used to index and/or locate a resource such as a web page. In various embodiments, a set of queries employed at 206 may be populated, for example, using any applicable reverse search engine and/or from any other appropriate sources such as search engine logs, search logs from websites, search terms extracted from traffic logs”) injecting an instruction directly into the target webpages without injecting the instruction into the remaining webpages of the plurality of webpages not selected as target webpages, the instruction directing a web browser to request at least a part of the executable computer instruction code when executing code of the target webpages to cause the adjustment to content to be applied only to the target webpages of the plurality of webpages. (Datta fig. 1 noting the step of applying at least a subset of the identified potential modifications and associated text; col. 8, ln. 59-61 “a content optimization tool or module of code (e.g., that is provided by the third party provider) may be directly integrated into a website and may be invoked each time a page is requested) Before the effective filing date of the claimed invention, it would have been obvious for one of ordinary skill in the art to modify Burhanuddin’s web page optimization and Batista’s web page optimizations to include directly injecting code into a web browser to request the code when executing the webpage in view of Datta in an effort to improve discoverability of a website (Datta col. 2, ln. 16-17 & MPEP 2143G). Claim 2 wherein the computing system comprises at least one of marketing data sources, optimization engines, publishers, compilers, or injection modules. (Burhanuddin [0043] “The marketing apparatus 110 also includes marketing and advertisement spend optimization engine 199”) Claims 6, 12 Burhanuddin / Batista do not explicitly teach, Datta however in the analogous art of web page optimization teaches further comprising directing, by the computing system, the web browser, in response to the web browser executing the instruction, the web browser to the at least a part of the executable computer instruction code. (Datta col. 8, ln. 38-39 “added content may be loaded directly into the HTML of a page”) The motivations/rationales to combine Burhanuddin / Batista with Datta persists. Claims 7, 13 Burhanuddin / Batista do not explicitly teach, Datta however in the analogous art of web page optimization teaches further comprising injecting a second instruction directly into the target webpages, the second instruction directing a web browser to render the Page 3 of 8Application No. 16/950,432Attorney Docket Number B1074.10036US02Responsive to Office Action dated December 17, 2021target webpages, the rendered webpages including the adjustment. (Datta col. 8, ln. 15-21 “content (including links) may be published on a page in any appropriate manner, including inline with previously existing content and/or separately via one or more dedicated widgets;” ln. 36-40 “added content is integrated in a manner or format that allows the content to be crawled. For example, added content may be loaded directly into the HTML of a page”) The motivations/rationales to combine Burhanuddin / Batista with Datta persists. Claim 14 Burhanuddin teaches A method comprising: receiving one or more types of marketing data, the marketing data including one or more: paid media spend data, paid media performance data, customer platform data, customer relationship management platform data, and account based marketing system data; (Burhanuddin [0043] “The marketing apparatus 110 also includes marketing and advertisement spend … showing advertisements on websites, as search results, social advertisements, and other form of advertising … The analytics data 192 includes information on how the marketing content performed. The customer data 186 further indicates … who all among those customers ended up in performing a transaction”) […], wherein the adjustment is selected from a set of adjustments including: adjusting mobile image and video media, adjusting product offers, adjusting calls to action, adjusting personalized content, adjusting marketing offers, and adjusting user experiences; (Burhanuddin [0037] “Examples of the assets 182 include, but are not limited to, image, text, document, video, audio, font, and metadata … the content publishing and management engine 182 enables multisite, i.e. multiple websites and mobile content, management workflows, and commerce, i.e. personalized shopping experiences that incorporate video, social, and other dynamic media;” [0041] “The marketing apparatus 110 also includes a content personalization engine 196. The content personalization engine 196 enables the user to provide different digital experiences to the customers when different customers visit same webpage or same application of the user” note the personalization of content and user experience. Further note in [0041] the personalization based on A/B testing and analytics data; [0042] “The campaigning and messaging engine 198 customizes the messages” corresponding to the marketing offers; [0073]-[0076] “the recommendation system 410 can be trained to make recommendations based on the current context of a user” note the intent modeling to identify target nodes and make recommendations based on a user’s current context corresponding to the adjustment of calls to action); generating a first set of instructions configured to implement the adjustment to content for each of the plurality of webpages; (Burhanuddin [0054] “The computer-readable media includes computer-readable instructions executable by the one or more processors. The instructions may optionally implement one or more components of analytics system 208 and/or recommendation system 210”) […]; after determining the adjustment to content configured to be applied to each of the plurality of webpages, […]; (Burhanuddin [0037] “The marketing apparatus 110 includes a content publishing and management engine 182 that enables the user to create websites and other content. The content publishing and management engine 182 provides an end to end workflow to the user … editing and republishing, of content.” Note the republishing of content corresponding to the adjustment to content applied to webpages) […]. Burhanuddin does not explicitly teach, Batista however in the analogous art of web page optimization teaches processing the marketing data to determine an adjustment to content for each of a plurality of ecommerce webpages of an ecommerce website, the plurality of webpages being configured to present product information in a persistent manner independent of a user query and the adjustment configured to adjust content presented by each of the plurality of webpages when each of the plurality of webpages are rendered by adjusting executable computer instruction code of each of the plurality of webpages, the executable computer instruction code for each of the plurality of webpages configured to render individual ones of the plurality of webpages in response to navigation to individual ones of the plurality of webpages and the adjustment configured for each of the plurality of webpages and selected based on the marketing data for application to each of the plurality of webpages, […]; (Batista [0020] “The present invention provides a tool, that using log files for hyperlink analysis in a SEO tool of the SEO suite, extracts a larger number of incoming links for the user website, because it extracts that information from the website's log file. The tool does this for every single page on the website automatically. The tool uses the extracted hyperlink information, to identify link rich and link poor pages. Pages in the site, that doesn't get many links and pages on the site that get a lot of links. The idea is that the user can optimize the site by linking the link rich pages to the link poor ones. ” Note the processing of the SEO data to determine an adjustment to pages of a website corresponding to the processing of the marketing data to determine an adjustment to content for webpages of an ecommerce website; [0054] “the pages are optimized by the user, following the metrics that the present invention has calculated based on the selected competitors feature. The final result is the user's optimized pages” noting the optimized pages corresponding to the adjustments to content for each of the webpages and the optimizations/adjustments made based on the calculated metrics/marketing data) Before the effective filing date of the claimed invention, it would have been obvious for one of ordinary skill in the art to modify Burhanuddin’s web page optimization to include adjusting content for webpages independent of a user query in view of Batista in an effort to increase web page rankings (Batista [0053] & MPEP 2143G). Burhanuddin / Batista do not explicitly teach, Datta however in the analogous art of web page optimization teaches generating executable computer instruction code configured to be executed by a web browser using the first set of instructions; (Datta col. 3, ln. 67-col. 4, ln. 1-5 “modifications are integrated in a manner or format that allows the resulting content to be crawled. For example, added content may be loaded directly into the HTML (HyperText Markup Language) of a page. In various embodiments, added content may be presented in any appropriate manner, including inline with previously existing content and/or separately via one more dedicated widgets”) […] selecting one or more of the plurality of webpages as target webpages in which the adjustment to content is to be implemented, the selection of the target webpages based on web analytics of the plurality of webpages and the target webpages selected as being the only webpages of the plurality of webpages for implementation of the adjustment; (Datta figs. 2-3 noting the identification of pages to include content based on matching technique; col. 3, ln. 60-66 “At 304, the set of pages is optionally categorized based on one or more metrics. In various embodiments, pages may be categorized based on metrics such as crawl frequency, frequency of page views, user browsing behavior, number of inlinks to a page, number of external links from a page, etc., and prescribed thresholds associated with such metrics;” col. 3, ln. 29-42 “Such content that should appear may be compared to existing content to identify potential modifications at 104. In various embodiments, the potential modifications identified at 104 may include altering existing content (e.g., reorganizing, replacing, or otherwise adjusting existing content and/or the presentation of content), adding new content (e.g., synonyms or other interchangeable expressions for important terms, links to other pages or resources, etc.), smearing content from any appropriate source (e.g., adding content to a page that is extracted from a related and/or relevant source), surfacing content that was previously not static and hence not searchable or crawlable, moving content (e.g., from one portion of a page to another portion of the page or from one page of a website to another page of the website);” col. 4, ln. 46-56 “the expanded content is optionally matched against a set of content using a relaxed matching technique to obtain a mapping of the page to a subset of relevant content. The set of content may include any queries, terms, keywords, phrases, expressions, or other identifiers used to index and/or locate a resource such as a web page. In various embodiments, a set of queries employed at 206 may be populated, for example, using any applicable reverse search engine and/or from any other appropriate sources such as search engine logs, search logs from websites, search terms extracted from traffic logs”) injecting an instruction directly into the target webpages without injecting the instruction into the remaining webpages of the plurality of webpages not selected as target webpages, the instruction directing a web browser to request at least a part of the executable computer instruction code when executing code of the target webpages to cause the adjustment to content to be applied only to the target webpages of the plurality of webpages. (Datta fig. 1 noting the step of applying at least a subset of the identified potential modifications and associated text; col. 8, ln. 59-61 “a content optimization tool or module of code (e.g., that is provided by the third party provider) may be directly integrated into a website and may be invoked each time a page is requested) Before the effective filing date of the claimed invention, it would have been obvious for one of ordinary skill in the art to modify Burhanuddin’s web page optimization and Batista’s web page optimizations to include determining adjustments for a subset of webpages and directly injecting code into a web browser to request the code when executing the webpage in view of Datta in an effort to improve discoverability of a website (Datta col. 2, ln. 16-17 & MPEP 2143G). Claim 15 wherein the method is performed by a computing system that includes one or more of: optimization engines, publishers, compilers, and injection modules. (Burhanuddin [0043] “The marketing apparatus 110 also includes marketing and advertisement spend optimization engine 199”) Claim 19 Burhanuddin / Batista do not explicitly teach, Datta however in the analogous art of web page optimization teaches wherein the web analytics includes conversion events associated with the plurality of webpage. (Datta fig. 2 noting the identification of pages to include content based on matching technique; col. 3, ln. 29-42 “Such content that should appear may be compared to existing content to identify potential modifications at 104. In various embodiments, the potential modifications identified at 104 may include altering existing content (e.g., reorganizing, replacing, or otherwise adjusting existing content and/or the presentation of content), adding new content (e.g., synonyms or other interchangeable expressions for important terms, links to other pages or resources, etc.), smearing content from any appropriate source (e.g., adding content to a page that is extracted from a related and/or relevant source), surfacing content that was previously not static and hence not searchable or crawlable, moving content (e.g., from one portion of a page to another portion of the page or from one page of a website to another page of the website);” col. 4, ln. 46-56 “the expanded content is optionally matched against a set of content using a relaxed matching technique to obtain a mapping of the page to a subset of relevant content. The set of content may include any queries, terms, keywords, phrases, expressions, or other identifiers used to index and/or locate a resource such as a web page. In various embodiments, a set of queries employed at 206 may be populated, for example, using any applicable reverse search engine and/or from any other appropriate sources such as search engine logs, search logs from websites, search terms extracted from traffic logs”) The motivations/rationales to combine Burhanuddin / Batista with Datta persists. Claim 20 Burhanuddin / Batista do not explicitly teach, Datta however in the analogous art of web page optimization teaches further comprising injecting a second instruction directly into the target webpages, the second instruction directing a web browser to render the target webpages, the rendered webpage including the adjustment. (Datta col. 8, ln. 15-21 “content (including links) may be published on a page in any appropriate manner, including inline with previously existing content and/or separately via one or more dedicated widgets;” ln. 36-40 “added content is integrated in a manner or format that allows the content to be crawled. For example, added content may be loaded directly into the HTML of a page”) The motivations/rationales to combine Burhanuddin / Batista with Datta persists. Claims 5, 11, and 18 are rejected under 35 USC 103 as being unpatentable over the teachings of Burhanuddin in view of Batista in view of Datta in further view of Drai et al, US Publication No. 2012/0284252 A1, hereinafter Drai. As per Claims 5, 11 Burhanuddin / Batista / Datta do not explicitly teach, Drai however in the analogous art of web page optimization teaches wherein the target webpages are selected in response to the target webpages having higher web traffic. (Drai [0016] “the system and method optionally transfers the relevant web crawler logs to the site for analysis. Information provided by the logs includes but not limited to the average time for fetching a page by the crawler, the average number of the site's pages read by the crawler, the number of sessions per day, the overall time that the crawler spends on the site per day, the trends of these statistics along time, and the like. According to this embodiment, the system and method can optionally provide statistical information regarding other sites and compare the site's statistical information to the other sites. Such statistical information preferably enables the site owner to improve the web site with regard to interactions with the web crawler of the search engine, hence providing improved SEO characteristics. The system can optionally provide statistical information about the number of accesses to the sites in order to monitor the optimization process;” [0045] “The CDN server 130 preferably saves statistical information regarding the search engine 110. Such information can be, for example, information regarding the number of visits of the search engine 110 in these sites, the page fetching time and the like. This information is available for the site manager in order to optimize the search engine results.”) Before the effective filing date of the claimed invention, it would have been obvious for one of ordinary skill in the art to modify Burhanuddin’s web page optimization, Batista’s web page optimizations, and Datta’s code injection to include selecting higher traffic web pages as target webpages in view of Drai in an effort to optimize a website’s coverage (Drai [0011] & MPEP 2143G). Claim 18 Burhanuddin / Batista / Datta do not explicitly teach, Drai however in the analogous art of web page optimization teaches wherein the target webpages are selected in response to the target webpages having higher web traffic. (Drai [0016] “the system and method optionally transfers the relevant web crawler logs to the site for analysis. Information provided by the logs includes but not limited to the average time for fetching a page by the crawler, the average number of the site's pages read by the crawler, the number of sessions per day, the overall time that the crawler spends on the site per day, the trends of these statistics along time, and the like. According to this embodiment, the system and method can optionally provide statistical information regarding other sites and compare the site's statistical information to the other sites. Such statistical information preferably enables the site owner to improve the web site with regard to interactions with the web crawler of the search engine, hence providing improved SEO characteristics. The system can optionally provide statistical information about the number of accesses to the sites in order to monitor the optimization process;” [0045] “The CDN server 130 preferably saves statistical information regarding the search engine 110. Such information can be, for example, information regarding the number of visits of the search engine 110 in these sites, the page fetching time and the like. This information is available for the site manager in order to optimize the search engine results.”) The motivations/rationales to combine Burhanuddin / Batista / Datta with Drai persists. Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. US 20070112617 A1; WO 2017192321 A1; Singal et al., Web analytics: State-of-art & literature assessment, 2014. THIS ACTION IS MADE FINAL. Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a). A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any extension fee pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the mailing date of this final action. Any inquiry concerning this communication or earlier communications from the examiner should be directed to MOHAMED EL-BATHY whose telephone number is (571)270-5847. The examiner can normally be reached on M-F 8AM-4:30PM. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, PATRICIA MUNSON can be reached on (571) 270-5396. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of an application may be obtained from the Patent Application Information Retrieval (PAIR) system. Status information for published applications may be obtained from either Private PAIR or Public PAIR. Status information for unpublished applications is available through Private PAIR only. For more information about the PAIR system, see http://pair-direct.uspto.gov. Should you have questions on access to the Private PAIR system, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative or access to the automated information system, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /MOHAMED N EL-BATHY/Primary Examiner, Art Unit 3624
Read full office action

Prosecution Timeline

Nov 17, 2020
Application Filed
Dec 14, 2021
Non-Final Rejection — §103
Mar 18, 2022
Response Filed
Jun 14, 2022
Final Rejection — §103
Sep 19, 2022
Response after Non-Final Action
Oct 28, 2022
Request for Continued Examination
Nov 01, 2022
Response after Non-Final Action
Nov 17, 2022
Non-Final Rejection — §103
Feb 23, 2023
Response Filed
Jun 01, 2023
Final Rejection — §103
Aug 31, 2023
Response after Non-Final Action
Sep 20, 2023
Response after Non-Final Action
Oct 06, 2023
Request for Continued Examination
Oct 10, 2023
Response after Non-Final Action
Mar 20, 2024
Non-Final Rejection — §103
Jul 25, 2024
Response Filed
Aug 15, 2024
Final Rejection — §103
Dec 20, 2024
Request for Continued Examination
Dec 26, 2024
Response after Non-Final Action
Jan 07, 2025
Non-Final Rejection — §103
Mar 26, 2025
Interview Requested
Apr 08, 2025
Applicant Interview (Telephonic)
Apr 09, 2025
Response Filed
Apr 09, 2025
Examiner Interview Summary
Jun 13, 2025
Final Rejection — §103
Aug 26, 2025
Request for Continued Examination
Sep 03, 2025
Response after Non-Final Action
Sep 05, 2025
Non-Final Rejection — §103
Dec 09, 2025
Response Filed
Jan 05, 2026
Final Rejection — §103 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12586005
CLIENT CREATION OF CONDITIONAL SEGMENTS
2y 5m to grant Granted Mar 24, 2026
Patent 12265803
AUTOMATIC IMPROVEMENT OF SOFTWARE APPLICATIONS
2y 5m to grant Granted Apr 01, 2025
Patent 12205057
ASSIGNING SENTRY DUTY TASKS TO OFF-DUTY FIRST RESPONDERS
2y 5m to grant Granted Jan 21, 2025
Patent 12197966
SYSTEMS AND METHODS FOR MULTIUSER DATA CONCURRENCY AND DATA OBJECT ASSIGNMENT
2y 5m to grant Granted Jan 14, 2025
Patent 12165161
EVALUATING ONLINE ACTIVITY TO IDENTIFY TRANSITIONS ALONG A PURCHASE CYCLE
2y 5m to grant Granted Dec 10, 2024
Study what changed to get past this examiner. Based on 5 most recent grants.

AI Strategy Recommendation

Get an AI-powered prosecution strategy using examiner precedents, rejection analysis, and claim mapping.
Powered by AI — typically takes 5-10 seconds

Prosecution Projections

11-12
Expected OA Rounds
30%
Grant Probability
64%
With Interview (+33.3%)
3y 10m
Median Time to Grant
High
PTA Risk
Based on 235 resolved cases by this examiner. Grant probability derived from career allow rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month