DE112013002594T5 - Optimization of social media engagement - Google Patents

Abstract

Methods for optimizing social media are disclosed. Such methods may include identifying at least one keyword used on at least one web page, identifying social media correspondence mentioning at least the one keyword, analyzing content collected from social media, at least a frequency of mentions identify a keyword and at least create a report containing information based on the analysis. The report may include recommendations for optimizing social media, e.g. by purchasing paid posts or links on a social media website. Systems for carrying out the methods are also disclosed.

Description

TECHNICAL PART

The technologies described herein generally refer to social media, and more particularly to methods and systems for optimizing social media engagement.

BACKGROUND

Social media websites are becoming increasingly popular because they offer the ability to connect users and communities in a collaborative way. Social media services explore the possibilities of advanced communication and also serve as a mechanism for enhanced content sharing. Examples include not only social networking services such as MYSPACE and FACEBOOK, but also the services of telecommunications companies such as messaging, photo sharing, pre-recorded phone calls, teleconferencing, and even microblogging services like TWITTER.

The services provided by such social media sites are actively used by millions of users, creating new communication and content sharing trends that were not possible in the past. An example of this is TWITTER, whose over 100 million active users generate more than 250 million tweets each day (20 percent of which contain links). This makes social media sites such as TWITTER an attractive channel for online marketing and sales.

The overwhelming amount of information available on social media sites creates challenges in effectively using that information in marketing strategies. Traditional social media analysis focuses on brand monitoring and reputation management on these social media sites. However, there is a need to provide methods and systems for investigating opportunities that support purchases via social media sites.

SUMMARY

This summary is provided to introduce a selection of concepts, which are described in more detail below in the detailed description, in a simplified form. This summary is not intended to identify key features or essential characteristics of the claimed subject matter; it is also not intended to be used as an aid to determining the scope of the claimed subject matter.

The technologies described herein generally relate to methods for optimizing social media engagement. In some embodiments, these methods may include identifying search engine optimization keywords used by at least one web page, analyzing at least one social media web site to generate analytic data related to the search engine optimization keywords that are in the correspondence on at least one social media website, and determining at least one type of paid advertising available through at least one social media website based on the analytical data.

In other embodiments, these methods may include collecting content from multiple web pages by crawling at least one network, searching content collected from multiple webpages to identify the mention of at least one keyword, analyzing the content, at least a frequency of mentions this one keyword associated with at least one of a plurality of web pages, the relevant mentions being generated by users of at least one social media web site, and providing a recommendation of at least one type of social media correspondence providing a link to at least one Website.

The technologies described here generally refer to systems for social media optimization. For example, such a system may include a deep-index engine configured to crawl many web pages and identify social media correspondence present on all of these web pages, an analysis module configured to parse social media correspondence for mentions at least identify a keyword in the social media correspondence and identify at least one type of social media correspondence that is available for purchase on at least one social media website, based on the frequency of mentions of at least that one keyword; and a reporting module for creating at least one report for display to a user, the report including a link to a portal configured to facilitate the purchase of at least one type of social media correspondence.

Accordingly, analytical data may be provided that includes trend keywords or trend terms, the activity of the keywords or terms, and the performance of the keywords or terms within one or more web pages. Based on this information can Keywords or terms that are relevant to social media promotion and / or social media campaigns.

These and other aspects of exemplary embodiments of the invention will become more apparent from the following description and appended claims.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to further explain various aspects of some embodiments of the present invention, a more particular description of the invention will be provided by reference to specific embodiments of the invention, which are illustrated in the accompanying drawings. It is understood that these drawings illustrate only typical embodiments of the invention and are therefore not to be considered as limiting the scope. The invention will be described and explained with additional specificity and accuracy by the use of the following attached drawings:

1A shows an embodiment of a social media engagement system according to the technologies described herein;

1B shows another embodiment of a social media engagement system according to the technologies described herein;

2 FIG. 11 is a flow chart illustrating one embodiment of a method by which social media engagement may be improved in accordance with the technologies described herein; FIG. and

3 FIG. 12 shows an embodiment of a computing system that may implement some of the embodiments described herein.

DETAILED DESCRIPTION

In the following detailed description, reference is made to the accompanying drawings which form a part hereof. In the drawings, like symbols typically indicate similar components unless the context dictates otherwise. The illustrative embodiments described in the detailed description, drawings, and claims are not intended to be limiting. Other embodiments may be practiced and other changes may be made without departing from the spirit or scope of the subject matter presented herein. It will be understood that the aspects of the present disclosure, as generally described herein and illustrated in the figures, may be arranged, replaced, combined, divided and shaped in a wide variety of different configurations, each of which configurations being explicitly contemplated herein can be.

As the general use of social media and its incorporation into the daily lives of Internet users increases, businesses and individuals (eg, "organizations") become aware of the benefits they can gain from using social media in their marketing strategies. Due to the interest of organizations in social media, there may be a need to be able to determine when social media correspondence relates to content on the organization websites. There may also be a need to provide a way to participate in the social media correspondence using the contents of the organization web pages.

Accordingly, all of the embodiments disclosed herein generally refer to computing systems and computing processes employed in processes for optimizing social media engagement by tracking and participating in social media correspondence. By participating in social media correspondence, an organization can achieve higher brand visibility. Furthermore, participating in social media correspondence can lead to higher traffic on the main website of an organization and better page retention of the organization website.

Reference is now made to the figures, wherein similar structures are provided with similar reference numerals. It should be understood that the figures are diagrammatic and schematic representations of some embodiments of the invention, that they are not limitative of the present invention and that they are not necessarily drawn to scale.

1A shows an embodiment of a system for social media optimization 100a that a network 102 may contain. In some embodiments, the network may 102 Be used to the different parts of the system 100a connect to each other, for example, to connect between a network server 106 , a deep-indexing engine 108 , a correlator 104 and a module for social media optimization 112 manufacture. It should be understood that while these components are shown as separate components, the components may be combined as desired. In addition, the system can 100a optionally include any number of each of the components shown, even if exactly one of each component is shown.

The network 102 may include the Internet, including a global internetwork that may be formed by logical and physical connections between a plurality of wide area networks and / or local area networks and may optionally include the World Wide Web ("Web") including a system of interconnected hypertext Documents that are accessed via the Internet. Alternatively or additionally, the network includes 102 one or more RF wireless networks and / or one or more wired and / or wireless networks, such as, but not limited to, 802.xx networks, Bluetooth access points, wireless access points, IP-based networks, or the like. The network 102 can also contain servers that allow you to connect one network type to another network type.

The network server 106 may include a system capable of storing or transmitting a web page to a user. The network server 106 can provide access to the websites of a website that should be analyzed to improve social media optimization. For example, the network server 106 include a computer program that accepts requests from clients (user agents such as web browsers) and sends them HTTP responses along with optional data content, which may include HTML documents and linked objects for user viewing. Additionally or alternatively, the network server may 106 have the ability to log some detailed information about client requests and server responses in log files.

The website can contain any number of websites. The accumulation of references to the various web pages can be referred to as traffic. It should be noted that the term "website" as used in this document refers to any online delivery, including, but not limited to, domains, subdomains, internet posts, Uniform Resource Identifiers (URIs), Uniform Resource Locators (URLs), images, videos or other content and non-permanent posts such as emails and chats, unless otherwise stated.

In some embodiments, the deep indexing engine 108 to crawl the web pages to which the network server 106 accessed to retrieve external data. When used in this document, the term "crawl" may refer to the collection of content from multiple files or sites (such as web pages) on the network 102 which allows browsing the content. In particular, the deep indexing engine 108 to crawl the web pages and analyze data related to crawling, including, but not limited to, information contained on the page and backlink data (eg, backlink URL, anchor text, etc.) for each web page. The deep indexing engine 108 can be configured to crawl web pages over the Internet and / or over a wireless network. Social media is often accessed via a wireless network using a mobile device (such as a mobile phone, a PDA (personal digital assistant), or a tablet computer). The deep indexing engine 108 can use an algorithm or software mechanism (such as a crawler) to locate files or sites on the network 102 to crawl content.

This can be done by the deep-indexing engine 108 Web sites crawled across a wireless network provide user and / or location specific information. A deep indexing engine 108 according to some embodiments, is described in more detail in co-pending U.S. Patent Application Serial No. 12 / 436,704 and entitled COLLECTING AND SCORING OF ONLINE REFERENCES, filed May 6, 2009, which is hereby incorporated by reference in its entirety by reference. The features described here can be used to optimize web pages for a website. A correlator 104 according to some embodiments, in more detail, co-pending U.S. Patent Application Serial No. 12 / 574,069, filed October 6, 2009, entitled CORRELATING WEB PAGE

VISITS AND CONVERSIONS WITH EXTERNAL REFERENCES

described, which is hereby incorporated by reference in its entirety by cross-reference. The features described here can be used to optimize web pages for a website.

The correlator 104 or another component may be configured to collect web analytics data from the web pages. The web analytics data may be used to estimate the cost and / or value of one or more search engine optimization (SEO) or social media optimization opportunities. Examples of web analytics data that can be captured are the number of visitors, page views or conversions (for example, purchases), or any combination of that data.

The module for social media optimization 112 is configured to track, discover, and analyze social media correspondence and to administer and perform the analysis of a website as described herein, so that recommendations may be made to improve social media interactions and enhance the perception of the organization, and on this basis to make search engine optimization of the website possible. The module for social media optimization 112 can in conjunction with the network 102 Access the social media correspondence generated with a user device (such as a computer or mobile phone). The module for social media optimization 112 is described in more detail in this document.

1B shows another embodiment of a system for social media optimization 100b , As shown, the network couples 102 the module for social media optimization 112 working with a computing system for the website 128 , The module for social media optimization 112 includes a computing system 120 , which is configured to perform social media optimization and referral analysis as described in this document. These recommendations may include, for example, a list of well-functioning keywords, or web pages or landing pages on which the keywords work well, as well as web pages, topics, keywords, and / or terms contained in one or more social media sites , The web pages, topics, keywords and / or terms found on the social media sites are extremely valuable information for advertising and social media campaigns. For example, the computing system 120 be configured to propose at least one paid, sponsored, or supported social media activity based on the social media optimization analytics. The proposal may be provided via a platform or an interactive analytics tool to which the customer or organization, for example via the network 102 can access. The paid, sponsored or supported activity may be a contribution, micro contribution (eg a TWEET) or any other element for display on a social media website. The computing system 120 may include sub-modules for implementing certain functions. The computing system 120 can be generic and an analytics module 122 , a determination module 124 and a report module 126 include.

The computing system for the website 128 can be a website database 129 Include the SEO data from organization websites 132 from an organization website 130 contains. The organization website 130 may be the website of an organization for which social media optimization is to be performed. The website database 129 can continue social media websites 142 a social media website 140 contain. At the social media website 140 it can be any kind of social media. For example, social media may include collaborative projects (eg, WIKIPEDIA), blogs and microblogs (such as TWITTER), content-oriented communities (eg, YOUTUBE), social networking sites (such as Facebook), virtual Game worlds (eg WORLD OF WARCRAFT), virtual social worlds (eg SECOND LIFE) and other types of social media, and they can come in many different forms such as internet forums, weblogs, microblogs, social blogs, wikis, Podcasts, photos or pictures, videos, ratings or social bookmarks. The social media websites 142 can include all types of digital content, the social media from the social media website 140 contain.

If, for example, the social media website 140 In a microblog or a microblogging site like TWITTER, the social media website can 142 include a single micro-contribution, a user's home page with a microblogging account with a collection of the user's micro-contributions, or any other micro-contribution digital content.

A micro contribution may include a message or post that has been posted on a web site or distributed to a particular group of subscribers who are sharing the message or post with a computer or mobile device over the network 102 can show. Such micro-contributions may be, for example, a status update, a comment, a post (eg, a website address), or a so-called "check-in" at a particular location via social media. Such a micro contribution on the social networking service TWITTER is often referred to as a "TWEET". Users can copy and forward another user's tweet, also known as "RETWEET". The micro-contribution may include one or more so-called "hashtags" that use the "#" symbol to identify words or topics in a TWEET. The micro contribution can also be an answer like another TWEET to answer an original TWEET, which is often indicated by the "@" symbol and a username.

For customers who want to generate immediate revenue, TWEETs can be used to support forwarding traffic or conversions through TWITTER. However, this approach can prove tricky for customers because they need to recognize valuable opportunities and respond quickly to relevant and compelling tweets and content.

If the social media site 140 As in another example, a social networking site like FACEBOOK can be the social media website 142 a user's network page, a user's post, a comment, or any other digital content relating to the social networking site. Additionally or alternatively, the computing system for the website 128 Contain a second site database so that the organization web pages 132 and the social media websites 142 be stored in separate databases. It is understood that the data from the organization websites 132 and the social media websites 142 in any configuration without thereby departing from the embodiments described herein.

The computing system for the website 128 can get data from the organization websites 132 and the social media websites 142 retrieve it by using a network server such as the network server 106 in 1A on the organization website 130 and the social media website 140 accesses. Furthermore, the data may be from the organization websites 132 and the social media websites 142 by crawling the web pages 132 and 142 be recorded. In some embodiments, the web pages 132 and 142 for example, using the deep indexing engine 108 in 1A be scoured. In some embodiments, the web pages 132 and 142 be scoured using another mechanism.

The data can be viewed in a given aggregation period from the web pages 132 and 142 be retrieved. The default aggregation period can be a period of time such as a specific number of hours, days, or weeks. As a non-limiting example, the data may be retrieved for a single day or a single week.

In some embodiments, the computing system for the website 128 perform a keyword count count of each occurrence of the keyword to determine the keyword set. The keywords can be determined for exact match or term match. For example, various spellings, spelling errors, abbreviations, concatenations, and / or URL truncations of the keywords may be searched and evaluated. The keyword set may include the number of occurrences of an exact match and / or term match of the keyword in a social media correspondence such as a TWEET. The occurrence of the keyword can be classified according to the type of social media correspondence in which it is contained.

In embodiments where the social media correspondence is retrieved from social media (eg, TWITTER), any occurrence of the keyword may be as a re-setting of correspondence that was originally hired by someone else (eg, a retweet). , a response to a correspondence originally posted by someone else (eg a TWEET) or an original correspondence (eg a TWEET). Keyword occurrence cases that are identified as a specific custom topic (such as the "#" symbol) or a user name (for example, the "@" symbol) can be used for a metric of the number of mentions be counted.

One or more keyword trends may be determined based on the keyword set. The keyword trend strength can be calculated by the percentage difference between the keyword set and an average keyword set in a given time period (for example, the aggregation period). As a non-limiting example, the aggregation period may be one day and the keyword trend strength may include a percentage deviation from an average value determined over another predetermined time period (eg, 7 days). As another non-limiting example, the aggregation period may be one week and the keyword trend strength may include a percentage deviation from an average value determined over another predetermined time period (eg, 4 weeks).

The calculation module for the website 128 can also get data from the organization websites 132 and the social media websites 142 filter. The data may be filtered based on any relevant criteria such as the number of web pages or a time period. As a non-limiting example, a selection size, including a default webpage number, may be selected and the computing module for the web site 128 may be for retrieving information from a selection of the organization's webpages 132 and / or the social media websites 142 be configured according to the relevant selection size. Thus, rather than retrieving data from any web page containing the SEO keyword entered by a third party, the data may be filtered to include a certain number or percentage of the web pages or one or more sites of interest. The selection of the organization websites 132 and the social media websites 142 can also be used to determine the frequency of an SEO keyword. Based The filtered data can be used to estimate the frequency with which the SEO keyword is used in web pages (eg the organization web pages 132 and the social media websites 142 ) occurs. For example, if the selection size is fifty ( 50 ) Percent of web pages, the number of references to the SEO keyword found in the web pages retrieved from the selection can be doubled to provide an estimate of the actual number of references to the SEO keyword. If the data retrieved from the selection has a small number of references or no references to the keyword, a larger selection size can be selected or the filter removed to ensure the accuracy of the estimate.

As another non-limiting example, the data may be filtered based on a predetermined time period. A period can be selected and the number of references to the SEO keyword that occur in the period on the web pages can be determined. This can be used to determine the frequency of references to the SEO keyword in the given period.

The filter criteria can be changed dynamically based on the information collected. For example, the set of web pages crawled within the time period or the SEO keywords may be changed as additional information is collected and analyzed. Furthermore, filter data may be used to estimate the frequency of referrals to the SEO keywords on web pages, to determine the frequency of referrals to SEO keywords on the web pages in a given time period, and / or the frequency of referrals to SEO Keywords on a given set of webpages. Because businesses may be charged a fee for each SEO keyword selected, filtering the data is useful to provide those companies with an estimate of the potential costs associated with such services.

Referring again to the calculation module 120 can the calculation module 120 Web pages or content presented to an end user by a CMS (Content Management System) or other dynamically generated content optimized for a single user or user type. The calculation module 120 may be configured to provide the end user with access to captured information and to allow the end user to modify, edit and / or publish such information.

The analytics module 122 in the calculation module 120 can be configured to the web pages 132 and 142 to analyze data from the web pages 132 and 142 retrieve. The analytics module 122 can use one or more algorithms for the analysis of web pages 132 and 142 contain. In some embodiments, the analytical module 122 Data on the page, source code or any other data of the organization websites 132 analyze to identify SEO keywords, including any brand name of the organization or other words or phrases associated with an organization, names of products produced by the organization, product categories, relevant search terms, general topics, and others in the organization Search engine optimization can use words or word strings used.

In some embodiments, the analytical module 122 Data on the page, source code or any other data of the social media websites 142 analyze to identify social media correspondence. Social media correspondence can be any data provided by a user on the social media websites 142 the social media website 140 have been set and used by other users of the social media site 140 can be read. In some embodiments, the social media correspondence may include posts, comments, or both on a social networking site. In some embodiments, the social media correspondence may contain posts, comments, or both in a blog or microblog. It should be understood that the foregoing is just a few examples of various types of social correspondence and that the scope of the term social media correspondence used herein is by no means limited by these examples.

After identifying the social media correspondence on the social media websites 142 through the analytics module 122 can the analytics module 122 additionally or alternatively, further analyze the social media correspondence for particular words, phrases or other data using one or more algorithms. In some embodiments, the analytical module 122 For example, analyze the social media correspondence to determine the SEO keywords used by the analytics module 122 on the organization websites 132 were determined.

Additionally or alternatively, the analysis module 122 the data on the page, the source code or both of the social media websites 142 and / or the social media website 140 Analyze information about specific users of the social media site 140 to investigate. The information obtained can be the social media participation of a user and content provided or discussed by the user. The user's social media participation may include how often the user participates in social media, such as the number of social media correspondence created by the user. Additionally or alternatively, the user's social media participation may include how many other social media users view, follow, comment on, refer to, contribute to, or contribute to the social media correspondence created by the user note other way. The analysis may allow the preparation of recommendations to improve visibility through the use of well-functioning keywords (eg, keywords that have an above average number of referrals and / or provide above-average ROI). The recommendations may include, but are not limited to, well-functioning keywords, web pages on which a keyword works well, and topics, web pages, keywords, or terms that are relevant to particular organizations because of their increased presence at a given time.

For example, keyword trend analysis can be used to provide valuable information about keyword trends on social media, to show the rank of individual webpages in order to move to well-functioning keywords, and to help identify opportunities to promote social media engagement to provide existing content and prioritize which social media opportunities are most effective when used successfully. The recommendations may further include one or more web pages relevant to target consumers whose interest in the respective keywords has been determined. For example, consumers may be identified who are interested in the selected keywords, and it may be determined which webpages, based on the selected keywords, should best be used for the targeted promotion of those consumers. These web pages can be identified based on an analysis of the rankings of one or more search engines, the amount or type of traffic, conversions, bounce rate, conversion rate, and revenue. As a non-limiting example, the recommendations may include web pages that are well placed and / or have an above average number of visits or conversions.

The recommendations may include one or more web pages (eg, landing pages) that perform best in terms of the keywords ("well-functioning webpage (s)"). The well-functioning web pages can then be used in one or more social media campaigns or campaigns. As a non-limiting example, a report may be provided with a link to or a URL for the well-functioning web pages, and the report may include the suggestion to include the well-functioning web pages in a social media correspondence such as a TWEET.

As another non-limiting example, the social media correspondence may be provided to the user and include the link to or the URL for the well-functioning web pages. The social media correspondence with the link to or the URL for the well-functioning web pages can provide the user in a report, in an electronic report, on a platform that allows the promotion, marketing and transmission of social media correspondence, and / or through a portal that automatically connects to a social media service and generates correspondence. This enhances customer visibility by providing social media correspondence such as a TWEET with topics, keywords, and / or web pages to a customer.

Some embodiments further relate to analytical data and / or the generation of analytical data in connection with the determination of social media correspondence and SEO keywords. The analytical data can be derived from the information provided by the web pages 132 and 142 have been received or recorded and that with the SEO data from the website database 129 combined or extended by them. This information can also be used for targeted marketing on different platforms. The information can also be used to generate revenue. The information may also be used to indicate a particular advertisement to certain consumers. In addition, demographic data such as demographic consumer data (if provided), information about types of devices and types of content and the like can be collected and used to generate analytical data.

The information can be used to provide a tool for consumers to use or participate in paid advertising campaigns. For example, a social media service may provide paid, supported or sponsored activities for purchase by an organization. For example, the activity may include contributions or micro contributions that can be purchased by the organization. For example, TWITTER provides sponsored or supported TWEETs ready to be bought. The information obtained from the analytical data described herein may be used to determine paid, assisted or sponsored activities such as TWEETs for a particular organization, and this activity may then be suggested to the respective organization.

The information can also be used to determine the value of SEO keywords or web pages 132 and 142 to determine and / or the rank of SEO keywords or websites 132 and 142 set. For example, information that the SEO keywords in social media correspondence are more common than referrals than other SEO keywords may be used to identify the SEO keywords and / or web pages 132 and 142 according to relevance. SEO keywords that are referenced more often can be ranked higher than SEO keywords with fewer references. The websites 132 and 142 that refer to a particular SEO keyword of interest more often than other sites may rank higher than the other sites. For example, this information may also be used to predict or determine price points for social media engagement.

In another example, the analytic data may be used to predict which SEO keywords in social media are more likely to be referenced and / or which webpages are most likely to include references to the SEO keywords.

The analytical data can also be used to determine the SEO keywords that provide the highest ROI. The term "return on investment" as used in this document may refer to revenue generated via the SEO keywords or to the popularity of the keywords compared to the costs associated with using the SEO keywords.

In addition, one or more web pages with the highest number of references to the SEO keyword can also be determined. For example, the web pages may be sorted by the frequency of occurrences of keywords associated with the social media. The web pages with the highest number of references to the SEO keyword can be determined and tailored to specific users and optimized. By identifying the most relevant SEO keywords in social media and the most relevant for certain SEO keywords, the system described here allows for social media optimization 100b a customized adaptation of marketing strategies to optimize the use of SEO keywords.

The determination module 124 can also be configured to specify one or more web pages to share independently of SEO social media keywords. Information relating to these web pages may be analyzed to determine the associated SEO keywords and to optimize social media correspondence.

The determination module 124 can get data from the analytics module 122 and use these data to determine which social media correspondences have been detected on the organization's websites 132 contain identified SEO keywords. The determination module 124 may include one or more algorithms for processing the data from the analytics module 122 contain. Additionally or alternatively, the determination module 124 Determine the frequency with which the SEO keywords from the organization's website 132 in the identified social media correspondence, and the SEO keywords can be arranged accordingly. Additionally or alternatively, the determination module 124 Determine if there is an increase in the use of one or more of the identified SEO keywords over a period of time.

Additionally or alternatively, the determination module 124 the rank of social media participation of a user of the social media website 140 to other users of the social media website 140 determine. For example, in a microblog such as TWITTER, the number of followers, retweets, and TWEET's ads can be used by a user to determine a user's rank over all other users of TWITTER. Additionally or alternatively, the determination module 124 also determine the rank of a user's social media participation using other factors, including, but not limited to, the use of rank or influence ratings generated by other websites or organizations. Additionally or alternatively, the determination module 124 determine which users of the social media site 140 Discuss, provide or display any social media correspondence related to the identified SEO keywords, or otherwise relate to it.

The report module 126 can get information from the analytics module 122 , from the determination module 124 or compile from both generate various types of reports and make recommendations to improve social media optimization. The report module 126 may include one or more algorithms for generating one or more reports and one or more recommendations for improving social media optimization.

For example, the report module 126 Include a platform that enables a customer to receive a sponsored or supported social media post, such as a sponsored or supported TWEET on TWITTER, selected based on the SEO data, depending on the modulation or combination with other web analytics data becomes. The platform may suggest the sponsored or supported social media contribution and assist the customer to purchase sponsored or sponsored social media contributions from one or more social media services. The platform can be directly linked to the social media service so that the customer can actively buy the sponsored or sponsored social media post, or they can connect to another platform through which the sponsored or supported social media Contribution can be purchased, and the customer is supported in this way when buying.

For example, the customer can access the platform via the reporting module 126 a particular TWEET is proposed, and the customer can select and buy the TWEET by selecting a particular button configured to connect the customer to a portal through which the customer can obtain the TWEET.

The determination module 124 It can access data from one or more mobile devices via a wireless network to capture information, and it can generate marketing information based on location. For example, location markers in social media correspondence or log-in / check-in information provided in social media correspondence may be analyzed to determine references to keywords based on location.

The determination module 124 can analyze trends related to SEO keywords, including increases in social media correspondence and demographic information (eg, gender, race, age, interests, education, employment status, and location), consumption, and content creation. For example, the information obtained from such analysis may be provided in a report, electronic report and / or electronic message and used to tailor marketing strategies. For example, the electronic report may be displayed on a computer screen, downloaded in one or more file formats, or printed on paper.

Such reports, which are generated based on the collected information, may include, for example, activity reports, incentive reports, or dynamic maps. The reports may include information related to web pages, SEO keywords, social media, or social media users. As a non-limiting example, such a report may include a dynamic activity map associated with the SEO keywords or web pages that contain at least one reference to the SEO keyword. As another non-limiting example, such a report may include an analysis of the webpages corresponding to the references to the SEO keyword (eg, websites with the highest number of occurrences). As yet another non-limiting example, such a report may include demographic information about the users associated with the references to the SEO keyword.

The report may include at least one sponsored or supported social media post, based on the SEO data and web analytics data. The report may include information about accessing the sponsored or supported social media post, or if the report is in electronic form, it may include a link or button to purchase the sponsored or supported social media post. Accordingly, the system generates social media optimization 100b Data useful for the development of paid advertising campaigns.

For example, a report can be generated on all keywords, allowing users to quickly determine which keywords and web pages are most likely to generate revenue. These keywords may be the keywords with the highest number of referrals in social media or the keywords with the largest increase in referrals within a given time period. In addition, the keyword report may provide information about which keywords within a group of multiple keyword groups (eg, multiple product categories) are growing in social media correspondence. These web pages may be the web pages with the highest number of references to one or more selected keywords or the web pages where the frequency of references to the selected keywords increases the fastest. As a non-limiting example the report provides information related to the keywords and web pages that should be included in social media correspondence, such as a TWEET created by another TWITTER user, to generate revenue. For example, the report may provide information about the strongest trend keywords and the valuable pages and opportunities associated with those keywords. For example, the keyword report can include a stacked bar chart to display the entire keyword set by keyword trend strength.

The reports can be customized according to the customer's specifications. For example, the reports can be adjusted to keywords with 0 percent or less deviation from the average, keywords with a trend of more than 0 percent, but less than 50 percent above average, keywords with a trend of more than 50 percent, but less to contain 100 percent above average and / or keywords with a trend of 100 percent or more above average. The reports can contain data from any number of aggregation periods.

As a non-limiting example, the report may be an electronic report with web-based graphical user interfaces or screens on which the data may be displayed. The electronic report may include one or more buttons associated with a map for each trend strength category. If one of the buttons is selected, the keyword data can be filtered. For example, the data may be filtered or sorted so that only the keywords appearing in the respective trend category described by the button are displayed.

The reports can contain any number of fields, each of which can be linked to the keyword or social media. As non-limiting examples, the fields may include the keywords with the highest amount (e.g., key word rank), the web pages with the highest number of references to the keyword (e.g., the best placed web pages), organic search revenue for the keyword Keyword in a given period and / or an indication of the percentage change in the keyword set. A trend report can be generated with the best placed web pages for each keyword and one or more web pages that contain the keyword.

The reports may include a feature that allows information to be displayed for a specific date and / or time. For example, a specific date may be selected in the past, and data from that date may correspond to the particular date.

The report may also include an option to export the data to another format, such as a text file, a comma-separated-value (CSV) file, or any other type of file. The exported data may contain all or part of the data displayed in the electronic report. The exported data may additionally include, for example, the number of visits, the number of website views, conversations, and / or orders in a given time period. The reports can also be configured to include one or more overview views or so-called "dashboards". The keyword link between the social media correspondence and web pages can be used to generate specific recommendations on how to use these web pages and to promote participation and revenue in social media. These recommendations are linked to the keyword and the website.

Providing customers with such tools to streamline their social media efforts and campaigns empowers customers to engage more, drive more traffic, and drive customer engagement through social media such as social media. TWITTER.

2 shows a training example of a method 200 to increase the attachment to social media. The procedure 200 can eg in the optimization system for social media 100a or 100b of the 1A or 1B be involved. The procedure 200 Optionally, identify one or more SEO keywords from a company's website at the block 210 include. In some embodiments, identifying one or more SEO keywords from the company's website may include crawling the company's website, obtaining SEO data from the website, and finally identifying the SEO keywords. The SEO keywords may consist of any brand name of the company or other words or phrases associated with the company, company-generated product names, product categories, relevant search terms, general topics, and other words or phrases used in SEO (Search Engine Optimization). to be used.

The procedure 200 may also include identifiable correspondence from social media web sites based on the SEO keywords at the block 220 refer. In some embodiments, identifying social media correspondence from the social media web site may include crawling the social media web site, obtaining SEO data from the web page, as well as analyzing social correspondence located on the social media web site for references to previously identified SEO -Keywords.

In some implementations, SEO keywords, which are often referred to in social media correspondence, may be noted. Additionally or alternatively, the frequency with which SEO keywords are referenced in social media correspondence may be determined and tracked to calculate a moving average of the number of references. If the number of social media correspondence references to a particular SEO keyword is above or below the moving average of the number of references to the SEO keyword or keyword string, then the SEO keyword or keyword string can be retained.

In some embodiments, the method may 200 also featured social media subscribers who have above average social media engagement. Participants in social media with above-average social media engagement can be considered influential participants. These social media participants can be identified by one or more factors. The factors may include the number of followers of the subscriber to social media, the number of generated social media correspondences, and other factors.

In some embodiments, the method may 200 also include identifying specific social media subscribers who have submitted input in social media related to SEO keywords in social media correspondence.

The procedure 200 may also include recommending material related to web pages that contain the SEO keywords mentioned in the social media correspondence for binding to the social media at the block 230 , Engagement in social media can consist of contributions to social media through social media correspondence, social media correspondence, or some other form of contribution. In some embodiments, the material relating to all SEO keywords mentioned in the social media correspondence may be used for social media engagement. Additionally, or alternatively, the social media engagement may only use material that is related to SEO keywords that are above the moving average in terms of the number of social media correspondence mentioning the SEO keywords. Additionally or alternatively, only material related to SEO keywords that are below the moving average in terms of the number of social media correspondence mentioning the SEO keywords is used. Additionally or alternatively, only material that has the highest number of mentions of an SEO keyword in social media correspondence, or that has a predetermined percentage of mentions of SEO keywords, is used to engage in social media. In some embodiments, the material associated with the SEO keywords originates from a web page from which the SEO keywords were extracted.

The appearance of the SEO keywords that have been found to rank highest in relation to a business may appear on social media, such as social media. TWITTER or FACEBOOK. When changes in the frequency of occurrence of the SEO keywords are observed in the social media, information regarding these changes can be reported. As the frequency of occurrence of the SEO keyword increases, e.g. generate a report that illustrates the increase in the frequency of occurrence over time. Other relevant information, such as User groups or demographic information related to social media users related to the frequency of occurrence of SEO keywords in social media can also be controlled. The users associated with the appearance of the SEO keywords within the social media may e.g. Include those who post these keywords or variations thereof or information related to the keywords, and / or those who respond or post again correspondence (including SEO keywords).

It can then provide recommendations that show the value of the identified SEO keywords for use in paid campaigns, such as advertising and social media campaigns. For example, the recommendations may provide at least one of several instructions for creating social media correspondence, text for posting social media correspondence, keywords or phrases for insertion into social media Media correspondence or a link to posting pre-made social media correspondence, which includes at least either a link to a web page or the keywords or phrases. The recommendations may be in the form of an electronic report and may provide information such as keywords, phrases or a website to post within a TWEET, or may include a link to a social media website or portal that interacts with a social site generate a TWEET that contains this information.

In embodiments where the web analytics data is not known, such recommendations may be based on web pages that perform well in terms of keywords. For example, Matching keywords to trend-setting phrases on web pages provide data for improved market visibility. Specific web pages can be specifically targeted by determining which webpages work best in terms of keywords. By analyzing target web pages and current, up-to-date topics or keywords within social media, a web page or landing page can be identified that can be of particular importance in advertising or social media campaigns.

The recommendations may include information about how to write social media correspondence based on the identified website or offer page, thereby providing specific actions on advertising and social media campaigns. As a non-limiting example, the recommendations may include a list of all things or services that may be purchased from an advertising or marketing agency, such as, for example: a phrase, keywords, etc. The information contained in the recommendations can therefore be used to promote the company in the campaign. As a further non-limiting example, the recommendations may include a list or an on-screen display provided or displayed with which social media correspondence may be acquired that has been promoted. The platform or portal may be configured to accept input from the customer, such as a user. a request for a particular type of social media correspondence and a desired budget for the commercial campaign, and the commercial campaign can then be created and executed. Additionally or alternatively, the customer may be provided with a link to a social media service or advertising / marketing company that helps them to create, apply, and / or implement a commercial campaign.

Additionally or alternatively, the method may 200 Include the recommendation that social media subscribers who provide social media correspondence mentioning the SEO keywords be included in material related to the SEO keywords. Participants in social media can be involved by sending them new social media correspondence, responding to social media correspondence they write, or otherwise engaging with them through social media. Additionally or alternatively, the method may 200 recommend that social media subscribers who have above average social media participation be included in material related to the SEO keywords that social media subscribers previously used in their social media correspondence.

Additionally or alternatively, the method may 200 include the recommendation for new or additional content for a user's web page in terms of the SEO keywords identified in social media correspondence.

In some embodiments, the method may further include providing a company with data related to the number of SEO keywords mentioned in the social media correspondence over a period of time. This data may be provided in the form of a report with one or more images, diagrams, graphics or other illustrative material. Additionally or alternatively, the company may also be provided with data relating to social media correspondence mentioning a certain SEO keyword, all SEO keywords, or a combination of SEO keywords over a period of time.

An example of the procedure 200 , A company, such as a shoe store, may have a website with websites that showcase and sell shoes. The website can be crawled and SEO keywords, such as the shoe brand and other words like shoe, performance, running and more, can be identified. The social media websites can also be crawled. For example, all TWITTER websites can be crawled and social media correspondence, such as a TWEET, can be identified and analyzed to identify SEO keywords within social media correspondence. A recommendation can then be made to the footwear store to engage in that social medium by generating and posting TWEETS that contain information about the footwear, such as a clearance sale, benefits of Shoes or other material based on SEO keywords identified in social media correspondence.

The data collected from the social media correspondence may be associated with the SEO keyword data to identify relevant topics or web pages for a social media or marketing campaign, such topics or web pages that have high ROI or social media are in the front in the trend. The recommendation may include those topics or web pages that can be found in social media correspondence to improve market visibility. A report may be written containing a recommendation for at least one type of social media correspondence with a link to the webpage (s) identified to be relevant. In addition, the recommendation may include a link to a platform containing text or actual social media correspondence, including the link to the website (s) and / or a portal that allows access to the social media website (s) from which / where the social media correspondence, including the link to the website (s), can be directly available. As a non-limiting example, the recommended social media correspondence may be a TWEET that includes a link to the webpage (s), and may provide the customer with a platform that allows them to connect to the TWITTER web site to post the TWEET or a portal that allows it to automatically get or acquire this TWEET. The customer can thus use the recommendation to implement a social media campaign or marketing campaign. This improves the process 200 the visibility in the market, a better guidance and ability to act within the social media.

The data may also be used to create, formulate, redesign, edit and / or optimize content on a website to reflect trends in social media. Thus, the trend keywords and web pages that reflect the data can not only be used as markers in social media correspondence, but can also be mapped as a signal on a website. If the site is found by search engines, the topic or keyword can be identified. This initiates a content change on a website to improve its performance and rank. To exploit a trend-based topic or keyword that has been identified within the data, a report can be generated that describes content that can be added to a website. In addition, content may be created from the data and made available to a customer, or the customer may be given access to a CMS system to create the recommended content, e.g. click on a button in the report.

The data may also be useful for performing a gap analysis for comparison of competitors. Thus, e.g. Keywords where the customer is ranked well are associated with or compared to key words and web pages where one or more competitors rank well to determine performance relative to their respective competitors. Such information may be assessed and recommendations based on the comparison or context may be made, with the recommendations resulting in a rank improvement compared to the competitors. Linking keywords and web pages can also include evaluating whether a customer is better aligned with current trends in social media than their competitors. After filtering and comparing the competitors' keywords and web pages to determine how good the competitor's performance is, a report can be made showing what percentage of the trend keywords and web pages are used by the customer and its competitors. This may encourage a change in content on the customer's website to reflect trend-based keywords and improve the performance level compared to competitors. The report may include recommendations for altering the content on the website or directing the client to a platform such as CMS so that it may change the content of the website to improve performance.

Some embodiments disclosed herein include a computer program product with computer-executable instructions that cause a computer system that has loaded the computer program product to perform an arithmetic operation using the computer-executable instructions that enhance the SEO of a company's social media web pages. The computational operation may be any method described herein that is executable by a computer system. The computer program product may reside on a computer storage device that is either portable or integrated with the computer system.

Some embodiments include a computer system capable of performing the methods described herein. Accordingly, the computer system can be Storage device containing the computer-executable instructions for performing the method.

In some embodiments, a computer, such as e.g. a computer or a storage device of a computer, an analytical module, determination module and a reporting module included. The analytical module, the determination module, and the reporting module can be configured to perform all of the methods described herein. The analytical module, the determination module and the report module can be combined in a single module or on a single platform.

The computer program product may include one or more algorithms for performing all methods of all claims. The computer program product may include one or more algorithms for performing all methods of all claims.

One skilled in the art will recognize that, for this and other processes and methods disclosed herein, the functions performed in the processes and methods may be implemented in a different order. Moreover, the steps and actions outlined are provided by way of example only, and some of the steps and acts may be optional, summarized in fewer steps and actions, or extended to additional steps and acts without departing from the essence of the disclosed embodiments. It should also be noted that all modules or components described herein may implement the functionalities associated with the name of the module.

The present disclosure is not intended to be limited to the particular embodiments described in this application, which are intended to illustrate various aspects. One skilled in the art will recognize that many of the modifications and variations can be made without departing from the spirit and scope. Functionally equivalent methods and apparatus within the scope of the disclosure will become apparent to those skilled in the art, in addition to those individually recited hereinabove, by the foregoing descriptions. It is intended that such modifications and variations fall within the scope of the appended claims. The present disclosure is to be limited only by the terms of the appended claims, along with the full scope of equivalents to which such claims are entitled. It should also be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting.

In an illustrative embodiment, all actions, processes, etc. described herein may be implemented as computer readable instructions stored on a computer readable medium. The computer readable instructions may be executed by a processor of a mobile unit, a network element, and / or another computing device.

There is only a small distinction between hardware and software implementations of aspects of systems; the use of hardware or software is generally (but not always, since in certain contexts the choice between hardware and software may be significant) a design choice where cost can be exchanged for efficiency. There are various vehicles that affect processes and / or systems and / or other technologies described herein (eg, hardware, software, and / or firmware), and the preferred vehicle will be different, depending on the context in which the processes and / or systems and / or other technologies are used. For example, if a user determines that speed and accuracy are paramount, the user may primarily choose a hardware and / or firmware vehicle; When flexibility is key, the user can choose to use a software application; or, alternatively again, the user may opt for some combination of hardware, software and / or firmware.

The foregoing detailed description has set forth various embodiments of the processes using block diagrams, flowcharts, and / or examples. To the extent that such block diagrams, flowchart, and / or examples include one or more functions and / or actions, one skilled in the art will recognize that any function and / or action within such a block diagram, flowchart, or example may be individually or collectively provided by a wide range of hardware, Software, firmware or virtually any combination thereof can be implemented. In some embodiments, some portions of the subject matter described herein may be implemented by ASICs, field programmable gate arrays (FPGAs), digital signal processors (DSPs), or other integrated formats. One skilled in the art will recognize, however, that some aspects of the embodiments disclosed herein may be implemented, either wholly or in part, equivalently in integrated circuits, as one or more computer programs running on one or more computers (eg one or more Computer programs running on one or more microprocessors), as firmware, or virtually any combination thereof, and that the design of the circuits and / or the writing of the code for the software and / or firmware to those skilled in the art in light of this disclosure are well within the The scope of the possible. One skilled in the art will also appreciate that the mechanisms of the subject matter described herein may be marketed in a variety of forms, and that an illustrative embodiment of the subject matter described herein is applicable no matter which signal bearing medium is used to actually perform the distribution. Examples of a signal carrying medium include, but are not limited to: a writable type medium such as a floppy disc, a hard disk drive, a CD, a DVD, a digital tape, a computer memory, etc .; and a transmission type medium such as a digital and / or an analog communication medium (for example, a fiber optic cable, a waveguide, a wired communication link, a wireless communication link, etc.).

Those skilled in the art will recognize that it is common in the art to describe devices and / or processes as set forth herein and, then, engineering practices may be used to integrate such described devices and / or processes into data processing systems. This means that at least a portion of the devices and / or processes described herein can be integrated with a reasonable degree of experimentation into a data processing system. Those skilled in the art will recognize that a typical data processing system generally includes one or more system unit housings, a video imager, memory such as volatile and nonvolatile memory, processors such as microprocessors and digital signal processors, computational units such as operating systems, drivers, graphics User interfaces and application programs, one or more interactive devices, such as a touchpad or touch screen, and / or control systems including feedback loops and control motors (eg, feedback for sensing position and / or velocity; control motors for moving and / or adjusting components and / or Sizes). A typical data processing system may be implemented using any suitable commercially available components, such as those generally found in data computing / data transmission systems and / or network computing / network transmission systems.

The article described herein has secondarily different components contained within or associated with various other components. It should be understood that such imaged architectures are merely exemplary in nature and, in fact, many other architectures can be implemented that can achieve the same functionality. In a conceptual sense, any arrangement of components is effectively "linked" to achieve the same functionality so that the desired functionality is achieved. Accordingly, any combination of two of the components described herein may be considered "associated" with each other in such a manner that the desired functionality is achieved regardless of the architecture or intermediate components. Likewise, any two components associated in this manner may also be considered "operably linked" together to achieve the desired functionality and any two components thus associated with one another can also be considered as "operatively coupleable" with each other to achieve the desired functionality. Specific examples of "operable couplable" include, but are not limited to, physically connectable and / or physically interacting components and / or wirelessly interactable and / or wirelessly interacting components and / or logically interacting and / or logically interacting components.

The 3 shows an exemplary computing device 300 , which is adapted to carry out any of the computational methods described herein. In a very simple configuration 302 contains the calculator 300 generally one or more processors 304 and a system memory 306 , A memory bus 308 can be used for communication between the processor 304 and the system memory 306 to be used.

Depending on the desired configuration, the processor 304 of any type, including, but not limited to, a microprocessor (μP), a microcontroller (μC), a digital signal processor (DSP), or any combination thereof. The processor 304 may include one or more cache levels, such as a level 1 cache 310 and a level 2 cache 312 , a processor core 314 and registers 316 , An example processor core 314 may include an arithmetic logic unit (ALU), a floating point unit (FPU), a digital signal processing core (DSP core), or a combination thereof. An example memory controller 318 can also be used in conjunction with processor 304 can be used or in some implementations the Memory controller 318 an internal part of the processor 304 be.

Depending on the desired configuration, the system memory 306 of any type including, but not limited to, volatile memory (such as RAM), nonvolatile memory (such as ROM, flash memory, etc.), or any combination thereof. The system memory 306 can be an operating system 320 , one or more applications 322 and program data 324 contain. The application 322 can be a destination application 326 which is arranged to perform the functions as described herein including those relating to the methods described herein. The destination application 326 can eg with the determination module 124 out 1B communicate. program data 324 can provide determination information 328 which may be useful for analyzing social media correspondence on the social media website. In some embodiments, the application may 322 be set up with the program data 324 on the operating system 320 to run.

The computing device 300 may have additional features or functionality and additional interfaces to facilitate communication between the base configuration 302 and any required devices and interfaces. For example, a bus / interface controller 330 used to communicate between the base configuration 302 and one or more data storage devices 332 by means of a memory interface bus 334 to facilitate. The data storage devices 332 can removable storage devices 336 , non-removable storage devices 338 or a combination thereof. Examples of removable storage and non-removable storage devices include magnetic disk devices, such as flexible disk drives and hard disk drives (HDD), optical disk drives, such as compact disk (CD) drives or DVD drives, solid state drives (SSD), and tape drives, just a few to call. Examples of computer storage media may include volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storing information such as computer readable instructions, data structures, program modules, or other data.

system memory 306 , mobile storage devices 336 and permanently installed storage devices 338 are examples of computer storage media. Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other storage technologies, CD-ROM, DVD or other optical storage, magnetic cartridges, magnetic tape, magnetic disk storage or other magnetic storage devices or any other medium , which can be used to store the desired information and on the by the computing device 300 can be accessed. Any such computer storage media may be part of the computing device 300 be.

The computing device 300 can also have an interface bus 340 to facilitate communication of different interface devices (eg, output devices 342 , Peripheral interfaces 344 and communication devices 346 ) to the basic configuration 302 over the bus / interface controller 330 contain. Exemplary output devices 342 close a graphics processing unit 348 and an audio processing unit 350 which may be designed to interface with various external devices, such as a display or speakers, via one or more A / V ports 352 to communicate. Examples of peripheral interfaces 344 break a serial interface controller 354 or a parallel interface controller 356 which can be configured with external devices such as input devices (eg, keyboard, mouse, pen, voice input device, touch input device, etc.) or other peripherals (eg, printers, scanners, etc.) through one or more I / O ports 358 to communicate. An exemplary communication device 346 closes a network controller 360 one that may be configured to communicate with one or more other computing devices 362 via a network communication link via one or more communication ports 364 to enable.

The network communication link may be an example of a communication device. Communication means may generally be embodied by computer readable instructions, data structures, program modules or other data in a modulated data signal, such as a carrier wave or other transport mechanism, and may include any information delivery media. A "modulated data signal" may be a signal in which one or more of its characteristics are set or changed in such a way that information is encoded in the signal. By way of example, not by way of limitation, communication media may include wired media such as a wired network or direct-wired connection, as well as wireless media such as acoustic media, radio frequency (RF), microwave, infrared (IR), and other wireless media , The term "computer-readable media" as used herein may include both storage media and communication media.

The computing device 300 may be included as part of a portable (or mobile) small form factor electronic device such as a mobile phone, an organizer (PDA), personal media player, wireless network monitor, personal headset device, application specific device, or hybrid device that includes any of the foregoing functions to be implemented. The computing device 300 can also be implemented as a personal computer including both laptop computer and non-laptop computer configurations. The computing device 300 can also be any type of network computing device. The computing device 300 can also be an automated system as described here.

The embodiments described herein may include the use of a special purpose computer or a general purpose computer, including various computer hardware or software modules.

Embodiments within the scope of the present invention also include computer-readable media that may carry or be stored on computer-executable instructions or data structures. Such computer-readable media may be any available media that can be accessed by a general-purpose computer or a purpose-specific computer. By way of example, not by way of limitation, such computer readable media may be RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that may be used as a carrier or storage medium for the present invention desired program code in the form of computer-executable instructions or data structures and which can be accessed by a general-purpose computer or a computer with a specific purpose. When information about a network or other communication link (wired, wireless or a combination of wired or wireless) is to be transferred to a computer or provided to the computer, the computer properly sees the connection as a computer-readable medium. Thus, any such connection is properly termed a computer readable medium. Combinations of the foregoing should also be included in the scope of computer-readable media.

Computer-executable instructions include, for example, instructions and data that cause a general purpose computer, a specific purpose computer, or a specific purpose computing device to perform some function or set of functions. Although the subject matter has been described in language specific to structural features and / or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as exemplary forms for implementing the claims.

As used herein, the term "module" or "component" may refer to software objects or routines that run on the computing system. The various components, modules, engines, and services described herein may be implemented as objects or processes that execute on the computing system (for example, as separate threads). While the system and methods described herein are preferably implemented as software, implementations as hardware or in a combination of software and hardware are also possible and contemplated. In this specification, a "computing unit" may be any computing system as defined hereinbefore or any module or combination of modules running on a computing system.

With regard to the use of virtually all terms used herein, which may be singular or plural, one skilled in the art may recognize when a term may be used in plural rather than plural, and vice versa, depending on the context or application. The different singular / plural permutations may be expressly set forth herein for purposes of clarity.

It will be understood by those skilled in the art that terms generally used herein, and more particularly terms used in the appended claims (eg, the main parts of the appended claims) are intended to be "open" terms (for example, the term "including" or "including"). including, but not limited to, "or" including, but not limited to, "construing the term" having "or" having "as having" at least having "or" at least having "the term" includes "or" includes "as "Includes, but is not limited to," or "includes, but is not limited to, interpret, etc."). It will also be understood by those skilled in the art that when a specific number of introduced claim words are intended, such intention is expressly set forth in the claims, and in the absence of such word, there is no such intention. As an aid to understanding, the following appended claims may include use of the introductory phrase "at least one" and "one or more" to introduce claim words. However, the use of such phrases shall not be construed as limiting the introduction of a claim wording by the undefined article "a" to any particular claim containing such introduced claim language to embodiments that contain such words only, even if the same claim the introductory phrases include "one or more" or "at least one" and indefinite articles such as "a" (for example, "a" should be construed as "at least one" or "one or more"); the same applies to the use of certain articles used to introduce claim vocalizations. In addition, even if a specific number of introduced claim vocabularies are explicitly rendered, those skilled in the art will recognize that such wording should be construed as meaning at least that number (eg, the mere wording of "two words" means at least two without further modifications Word or two or more words). Further, in such cases where a principle analogous to "at least one of A, B and C, etc." is used, such construction is generally intended in the sense that a person skilled in the art will understand it as a principle (eg "having a system comprising at least one of A, B and C "would include but not be limited to systems A alone, B alone, C alone, A and B together, A and C together, B and C together and / or A, B and C together, etc.). In cases where a principle analogous to "at least one of A, B, or C, etc." is used, such a construction is generally intended for one skilled in the art to understand this principle (eg, "having a system comprising at least one of A , B or C "would include, but are not limited to, A alone, B alone, C alone, A and B together, A and C together, B and C together and / or A, B and C together and so on . exhibit). It will also be understood by those skilled in the art that virtually any separating word and / or term of any parting formulation that presents two or more alternative terms, whether in the specification, claims, or drawings, is to be understood as meaning that Consider ways of incorporating just one of the terms, either or both terms. For example, the phrase "A or B" is understood to include the possibilities of "A" or "B" or "A and B".

In addition, where features or aspects of the disclosure are described in terms of Markush groups, those skilled in the art will recognize that the disclosure is also described in terms of each individual member or subgroup of members of the Markush group.

It will be understood by those skilled in the art that for any and all purposes, such as providing a written description, all of the areas disclosed herein also encompass any and all possible sub-ranges and combinations of sub-ranges thereof. Each listed range can be easily recognized as sufficiently described and is designed so that this range can be divided into at least equal halves, thirds, quarters, fifths and tenths. As a non-limiting example, each region described herein can be readily subdivided into a lower third, a middle third and an upper third, and so on. One skilled in the art will also recognize that terms such as "bis / to" or "at least" and similar terms include the number indicated and refer to ranges which may then be further subdivided as noted above. Finally, it will be understood by those skilled in the art that one area includes each individual member. Thus, for example, a group of 1-3 cells refers to groups of 1, 2 or 3 cells. Likewise, a group of 1-5 cells refers to groups of 1, 2, 3, 4 or 5 cells, etc.

From the foregoing, it will be understood that the various embodiments of the present disclosure have been described herein for purposes of illustration, and that various modifications can be made without departing from the scope and spirit of the present disclosure. Accordingly, the various embodiments disclosed herein are not intended to be limiting, the true scope and spirit being indicated by the following claims. All references herein are incorporated by reference in their entirety.

Claims (21)

A method of optimizing social media engagement, the method comprising: identifying search engine optimization keywords used by at least one web page; analyzing at least one social media web site to generate analytic data related to the search engine optimization keywords that are in the correspondence mapped to at least one social media web site; determining at least one web page that functions well in terms of search engine optimization keywords; and making a recommendation for at least one type of social media correspondence that includes a link to at least one webpage. The method of claim 1, wherein making a recommendation for at least one type of social media correspondence that includes a link to at least one web page includes determining at least one item to be displayed on at least one social media web site and at least one item that is one of at least a social media website can buy. The method of claim 1, further including providing at least one platform configured to allow customers to purchase at least one type of paid advertising from at least one social website.  The method of claim 3, wherein at least one platform directs the customer to a micro-blog to buy a micro-post, which is then imaged there. The method of claim 1, further including authoring an electronic report containing information for receiving at least one paid advertisement. The method of claim 5, wherein creating an electronic report containing information to receive at least one type of paid advertisement includes creating the electronic report that includes at least one button configured to have a sponsored or advertised advertisement on the social media Can buy media website. The method of claim 5, wherein creating an electronic report with at least one button configured to allow you to purchase a sponsored or advertised advertisement on the social media website, creating the electronic report that includes at least one button is configured to point to a portal on the social media website where you can buy posts for illustration on the social media website. The method of claim 1, wherein analyzing at least one social media web site to create analytic data related to search engine optimization keywords mapped to at least one social media web site, creating a ranking of the search engine optimization keywords with at least one of these elements: highest ROI ), the highest number of mentions to the search engine optimization keyword and the frequency with which the keywords for search engine optimization appear in the social media correspondence.  The method of claim 1, wherein analyzing at least one social media web site to create analytic data related to the search engine optimization keywords included in the correspondence mapped to at least one social media web site includes: determining at least one web page that social media, as well as a website that is relevant to specifically targeting customers that have been identified as showing an interest in search engine optimization keywords. The method of claim 1, wherein identifying search engine optimization keywords used on at least one web page includes analyzing a company web site to identify search engine optimization keywords that are relevant to the company's customers. Method for optimizing social media, comprising: collecting content from multiple web pages by crawling at least one network; searching content collected from multiple web pages to identify the mention of at least one keyword; the analysis of the content, a frequency of mentions of at least that one keyword associated with at least one of a plurality of web pages, the relevant mentions being generated by users of at least one social media web site; and determining at least one type of social media correspondence that can be purchased on at least one social media web site, based on the frequency of mentions of at least one keyword. The method of claim 11, wherein collecting content from multiple webpages by crawling at least one network includes identifying at least one web page that contains a desired number of mentions of a keyword. The method of claim 11, wherein searching the content collected from these multiple web pages includes searching content from multiple web pages accessed by a mobile device. The method of claim 11, further including creating at least one report for display, the report including at least one recommendation for the social media correspondence, which can be bought on at least one social media website. The method of claim 11, wherein creating at least one report includes creating a report that assesses the degree of user involvement in social media. The method of claim 11, wherein collecting content from multiple webpages by crawling at least one of the networks includes collecting content from a sample of webpages that contains a predetermined number of webpages. The method of claim 11, wherein the analyzing the content to determine the frequency of mentions of at least one keyword associated with at least one of the plurality of web pages includes identifying at least one web page containing a higher number of mentions of the keyword than the others Web pages. System for optimizing social media, which includes: a deep-index engine configured to crawl many web pages and identify social media correspondence that exists on all of these web pages; an analysis module configured to: analyze social media correspondence to identify mentions of at least one keyword in social media correspondence; and determine at least one type of social media correspondence that is available for purchase on at least one social media web site based on the frequency of mentions of at least that one keyword; and a reporting module for creating at least one report for display to a user, the report including a link to a portal configured to facilitate the purchase of at least one type of social media correspondence. The system of claim 18, wherein the plurality of web pages includes a sample of the web pages consisting of a predetermined number of web pages. The method of claim 19, wherein the analysis module uses one or more social media correspondence analysis algorithms to estimate a number of mentions of at least one keyword. The system of claim 18, wherein the reporting module is configured to collect information from the analysis module and to write an electronic report containing a dynamic record of the keyword associated with at least one of the social media associated keywords.

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