CN107979779B

CN107979779B - Combined interaction monitoring of media content groupings on social media services

Info

Publication number: CN107979779B
Application number: CN201710912305.3A
Authority: CN
Inventors: R·普布; M·基恩; M·普拉萨德; L·W·阿基尔拉; K·K·德塞; B·刘易斯
Original assignee: Adobe Systems Inc
Current assignee: Adobe Inc
Priority date: 2016-10-24
Filing date: 2017-09-29
Publication date: 2021-12-10
Anticipated expiration: 2037-09-29
Also published as: GB201714504D0; GB2556394A; CN107979779A; DE102017008914A1

Abstract

Embodiments of the present disclosure generally relate to combined interaction monitoring of media content groupings on social media services. In particular, an analysis interface for a content creation tool is provided. Based on input to the analysis interface, a first media content item and a second media content item are selected, some content being shared between the media content items. The system modifies the first media content item and the second media content item to comply with formatting constraints of the first social media service and the second social media service, respectively. The system associates the first media content item and the second media content item with the group via the mapping and posts the first media content item and the second media content item to the first social media service and the second social media service, respectively. The system uses the mapping to match the groupings to first and second analyses received from the first and second social media services, respectively, relating to the first and second media content items. The system updates the analysis interface with a visual representation of a grouping analysis generated based on matching the grouping to the first analysis and the second analysis.

Description

Combined interaction monitoring of media content groupings on social media services

Cross Reference to Related Applications

The present disclosure claims priority from U.S. provisional application No.62/411,959, entitled "COMBINED INTERACTION FOR MEDIA CONTENT group ON SOCIAL MEDIA SERVICES," filed ON 24/10/2016, the entire CONTENTs of which are incorporated herein by reference.

Technical Field

The present disclosure relates to grouping media content items (e.g., videos, images, etc.) and their associated metadata to enable monitoring of interactions with the grouped media content across multiple social media services.

Background

Content providers, such as creators and publishers of video or other media content provided via the internet, utilize media portals to provide access to online media content. For example, creators may post contextual content or other videos on certain websites accessible via the internet, day social media services, and other online services. These creators and content providers rely on social media analytics that identify the effects of published media content (e.g., number of views, number of visitors, multiple types of different interactions, etc.) to guide creative decisions, enabling the generation of more vivid media content.

Tracking the effectiveness of media content on a social media service or other online service involves a significant amount of human effort, often across multiple media portals with different success analyses. Some existing solutions for tracking the effects of videos and other online content involve the use of tools specific to certain media portals. In one example, the creator of the video passes through separate analysis tools (e.g., by accessing each media portal website)

A first analysis tool provided by

Second analysis tool provided) and by Twitter^TMA third analysis tool provided) to manually track its effect.

The creator may also need to track videos or other media content and metadata (e.g., tags, keywords, and other identifiers) across multiple social media services to explain participation analysis and to understand how to weight the participation analysis in order to make more strategic creatives and publication decisions. For example, a creator or other content provider manually creates a spreadsheet or other tracking document using information from analysis tools provided by different media portals to track analysis across multiple platforms. The tracking document is used by the creator or other content provider to save keywords, tags, or other data that may be used to identify certain videos or other published media content. However, this requires a significant amount of human effort by the content creator (e.g., copying and pasting from the document to the social media service).

Existing solutions allow a creator or other content provider to view the effects of posts and other published media content across multiple social media services. However, these solutions do not allow a creator or other content provider to easily identify creative decisions that may improve the effectiveness of future online content. Furthermore, each post on a given media portal (e.g., a social media service) is considered a separate entity. Thus, a creator or other content provider cannot group related media content items (e.g., videos or other assets) that are published to a set of different platforms. Thus, a content provider cannot evaluate a set of media content items published to different platforms, performing as a whole.

Disclosure of Invention

Some embodiments relate to grouping different multiple media content items (e.g., video assets) together for monitoring purposes. In one example, an analysis interface for a content creation tool is provided. Based on input to the analysis interface, a first media content item and a second media content item are selected, some content being shared between the media content items. The system modifies the first media content item and the second media content item to comply with formatting constraints of the first social media service and the second social media service, respectively. The system associates the first media content item and the second media content item with the group via the mapping and posts the first media content item and the second media content item to the first social media service and the second social media service, respectively. The system uses the mapping to match the groupings to first and second analyses received from the first and second social media services, respectively, relating to the first and second media content items. The system updates the analysis interface using the visual representation of the group analysis. The packet analysis is generated based on matching the packet to the first analysis and the second analysis.

These illustrative embodiments are mentioned not to limit or define the disclosure, but to provide examples to aid understanding thereof. Additional embodiments are discussed in the detailed description section and further description is provided therein.

Drawings

The features, embodiments, and advantages of the present disclosure will be better understood when the following detailed description section is read with reference to the accompanying drawings.

FIG. 1 is a diagram depicting an example of a network environment for grouping media content items to monitor interactions with grouped media content across multiple social media services, in accordance with certain embodiments;

FIG. 2 is a diagram depicting an example of an integration tool in communication with a content creation tool, a social media marketing service, and an analysis service to integrate social media analysis with the content creation tool for content creation, in accordance with certain embodiments;

FIG. 3 depicts an example of an analysis interface used by the integration tool, in accordance with certain embodiments;

FIG. 4 is a diagram depicting an example in which an integration tool uses mappings to associate different media content items with groupings and sets of metadata, in accordance with certain embodiments;

FIG. 5 is a diagram depicting an example of a client architecture for an integration tool, in accordance with certain embodiments;

FIG. 6 depicts an example of an analysis interface with login prompts for various social media services, in accordance with certain embodiments;

FIG. 7 depicts an example of an analysis interface that elicits post parameters from users of the holistic tool, in accordance with certain embodiments;

FIG. 8 is a diagram depicting an example of a service architecture used by an integration tool, in accordance with certain embodiments;

FIG. 9 is a flow diagram depicting an example of a method for integrating social media analysis with a content creation tool for creating or modifying grouped media content, in accordance with certain embodiments;

FIG. 10 depicts an example of an analysis interface suggesting certain tags, keywords, or other metadata for application to media content items published using the analysis interface, in accordance with certain embodiments;

FIG. 11 depicts an example of an analysis interface displaying a visual indicator of packet analysis, in accordance with certain embodiments;

FIG. 12 depicts another example of an analysis interface displaying a visual indicator of packet analysis, according to some embodiments;

FIG. 13 depicts an example of an analysis interface displaying visual indicators of service-specific analyses, according to some embodiments;

FIG. 14 depicts another example of an analysis interface displaying visual indicators of service-specific analyses according to some embodiments; and

FIG. 15 is a block diagram depicting an example of a computing system executing an integration tool for integrating social media analysis with a content creation tool, in accordance with certain embodiments.

Detailed Description

Certain embodiments of the present disclosure include systems and methods for grouping different multiple media content items (e.g., video assets) together for monitoring purposes. For example, integration tools are used to integrate social media analysis with content creation tools. The social media analysis describes interactions with the grouped media content (or other viewer responses to the grouped media content) across multiple social media services. The content creation tool is used to create or modify the grouped media content. The integration tool includes a software engine executing on one or more computing devices executing the content creation tool and a server system that causes media content to be published to various social media services. The integration tool groups media content items into collections, and the collections of media items may be analyzed collectively across multiple online media portals. In some embodiments, the integration tool also enables service-specific analysis of certain media content items from the group (e.g., analysis specific to videos posted for a certain social media service) to be viewed and analyzed separately.

In one example, multiple videos are added to a single group. In particular, variants of video that depict the same content (e.g., one or more portions of a certain movie) are assigned to the group and tracked across multiple social media services. These variations include variations that comply with formatting constraints specific to a given social media service, such as a duration limit, a file format requirement, an aspect ratio requirement, or some combination thereof. In this example, the integration tool is used in conjunction with the content creation tool to modify certain video content to generate a fit

Includes some of the same video content and conforms to

Two minute trailer version of the formatting constraint of (1), and compliance with Twitter^TMA 30 second version of the formatted trailer of constraints. The integration tool communicates with a backend service that publishes media content and thereby publishes five minutes of video to

Two minute trailers are posted to

And release a 30 second version of the trailer to Twitter^TM。

In continuation of the example, the process is,the integration tool enables the effects of three video collections to be analyzed and treated as one asset across multiple destinations. For example, the integration tool provides an implementation pair

And Twitter^TMAn analysis interface for combined analysis of video groups. In some embodiments, the analysis interface also allows each variant of the video to be analyzed separately with respect to a particular social media service or other media portal (e.g., to analyze each variant of the video separately

Version and publication to

Other video).

In additional or alternative embodiments, the analysis interface provides visual indicators that identify certain portions of the video (or other media content items) associated with significant changes in viewer response. For example, if some portion of the video is associated with a sharp drop in the number of viewers or a sharp increase in the number of viewers, the drop or increase is reflected in the analysis (e.g., indicated by the viewers navigating away from a website with the video, stopping the video, jumping to a popular portion of the video, etc.). The integration tool identifies such changes in viewer response from the analysis and determines that the changes exceed a threshold change. Based on the determination, the integration tool updates the analysis interface to indicate that the video portion is associated with a change in the viewer response. For example, if a video is played in the content creation tool, the integration tool provides an indicator in the analysis interface when the relevant video portion is played, overlays a visual indicator on the relevant portion of the video being played, or visually indicates that certain video content is associated with the determined change in viewer response.

In some embodiments, the integration tool provides one or more tools for saving tags, keywords, and other identifiers as a set of metadata. These sets of metadata are used for future video posts. For example, the integration tool enables a user to apply a set of metadata (e.g., a set of metadata items, including tags, keywords, or both) using one button or other interaction with an element of the analysis interface. This enables a user of the content creation tool to avoid adding each identifier separately to the corresponding video (e.g., by copying tags or keywords from the document to the video). In some embodiments, the integration tool provides the ability to identify which tags, keywords, and other identifiers are associated with improved effectiveness analysis (e.g., which keywords are used as search terms for retrieving a given video or other media content item).

The analysis used by the integration tool corresponds to the output (e.g., image or video) that the creator has generated. The integration tool associates an item or creation point for generating media content, an analysis track for the media content, and an application programming interface ("API") for an online media portal to which the media content is to be published. Thus, the use of integrated tools improves the location and tracking of the effects analysis. One example of integrating analytics tracking with a media portal API includes creating a web site interface that can dock with

A Premiere Pro or HTML5 panel (or other plug-in) in other content creation tools that support panel integration or other plug-ins.

In some embodiments, the integration tool is used to create a digital video and audio ("DVA") publishing service that communicates with the presenter and exporter within the content creation tool. Additionally, or alternatively, the DVA publishing service provides content to the DVA via a suitable tool for publishing content (e.g.,

social) and suitable tools for monitoring the effectiveness of the online content (e.g.,

analytics) communicates with an API (e.g., a social media service) of an online media portal.

In one exampleThe DVA publication service provides an integrated publication/effect tracking solution.

Social APIs provided by Social enable users to post electronic video content and other electronic media to an online media portal (e.g., to schedule a video publication). For example,

the Premiere Pro or other suitable content creation tool enables a track panel or other analysis interface to expose metadata fields (e.g., title, description, tags, keywords, and other identifiers, categories) for a project, where the metadata fields are specific to a given social media service.

Social enables users to post content to a Social media service. Integrated tool tracking through

The track panel in Social creates and publishes the effects of video and other media content. Effects are tracked using metadata such as tags, keywords, and other identifiers.

In some embodiments, the integration tool provides an improvement over existing solutions. In one example, the integration tool may visualize video effects (or other media content effects) on social media in the creative tool that creates the media content. In another example, the integration tool provides integrated post solutions and social media analysis. In another example, the integration tool reflects the creator's workflow. For example, the integration tool enables a user to designate multiple videos as part of a single grouping and provides an interface that enables the user to view the grouping across multiple platforms as if the grouping were a single asset. The integration tool also enables a user to save tags, keywords, and other identifiers as a collection using a single button. These collections may be applied to future posts with a single click. The integration tool also provides opportunities and a framework for more advanced video effects analysis. For example, the integration tool integrates the analysis directly into the creative tool.

Example of an operating Environment for analytics integration

Turning now to the drawings, FIG. 1 is a diagram depicting an example of a network environment 100 for grouping media content items 129 to monitor interactions with grouped media content across multiple social media services 109. In the example shown in fig. 1, network environment 100 includes computing devices, such as user device 101 and viewer device 106. The user device 101 and viewer device 106 are communicatively coupled to one or more of the creative device 110 and the marketing device 136 via the data network 103. The user of the user device 101 uses various products, applications or services supported by the creative device 110 via the data network 103. Users of viewer devices use one or more of the user devices 101, creative devices 110, and marketing devices 136 to access, interact with, or otherwise use media content items posted to the social media service 109. Examples of data network 103 include, but are not limited to, the internet, a local area network ("LAN"), a wireless area network, a wired area network, a wide area network, and the like.

The user device 101 executes a content creation tool 102 and an integration tool 104. Examples of digital content creation tools 102 include, but are not limited to, content editing tools, content publishing tools, content tracking tools, content management tools, content printing tools, content consumption tools, any combination of these tools, or any other tool that may be used to create, edit, manage, generate, track, consume, or perform any other function or workflow associated with content. The integration tool 104 integrates the analysis provided by the marketing device 136 with the content creation process involving the content creation tool 102, and in some embodiments one or more features provided by the creative device 110. Examples of this integration are further described herein with respect to fig. 2-15.

Examples of users of the system shown in FIG. 1 include, but are not limited to, creative professionals or hobbyists who use creative tools to generate, edit, track, or manage creative content; a marketing professional using a marketing tool to generate, edit, track, or manage online content or manage an online marketing process; end-users, administrators, users that use image tools to create, edit, track, or manage images; an advertiser; a publisher; a developer; a content owner; a content manager; a content creator; a content viewer; a content consumer; a designer; an editor; any combination of these users; or any other user that uses digital tools to create, edit, track, or manage digital experiences.

Examples of user device 101 and viewer device 106 include, but are not limited to, a personal computer, a tablet computer, a desktop computer, a processing unit, any combination of these devices, or any other suitable device having one or more processors. Each user device 101 includes at least one application supported by the creative device 110. It should be understood that the following description is now illustrated using user device 101 as an example, but any other user device may be used.

The creative device 110 includes one or more engines for providing one or more digital experiences to a user. In some embodiments, these engines include one or more of the engines shown in FIG. 1. In other embodiments, one or more of the engines depicted in FIG. 1 may be omitted from the creative device 110.

The creative device 110 may be implemented using one or more servers, one or more processing devices, one or more platforms with corresponding application programming interfaces, cloud infrastructure, and the like. Further, each engine may also be implemented using one or more servers, one or more processing devices, one or more platforms with corresponding application programming interfaces, cloud infrastructure, and the like.

In some embodiments, the user of the viewer device 106 accesses a web page or application store to explore applications supported by the creative device 110. The creative appliance 110 provides an application (e.g., the integration tool 104) as a software as a service ("SaaS"), or as a stand-alone application that may be installed on the viewer device 106, or as a combination.

In some embodiments, the user creates an account with the creative device 110 by providing user details and by creating login details. Alternatively, the creative device 110 may automatically create login details for the user in response to receiving the user details. In some aspects, the user is also prompted to install the application management download engine 114. The application management download engine 114 enables a user to manage the installation of various applications supported by the creative device 110 and to manage other functions associated with the applications, such as updates, subscription accounts, and the like. The user details are received by the user management engine 112 and stored as user data 122 in the data storage unit 120. In some aspects, the user data 122 also includes account data 124 that stores user details.

In some embodiments, the user may select a trial account, or may make payment based on the type of account or subscription selected by the user. Alternatively, the payment may be based on a product or number of products selected by the user. In some embodiments, the user operational profile 126 is generated by the authorization engine 116 based on payment details of the user. The user operating profile 126 is stored in the data storage unit 148 and indicates the user's authorization for various products or services. In some embodiments, the user operational profile 126 also indicates the type of user, i.e., free, trial, student, discounted, or paid. In some embodiments, the user management engine 112 and the authorization engine 116 may be a single engine that performs the functions of both engines.

The creative device 110 also includes a data storage unit 120. The data storage unit 120 may be implemented as one or more databases or one or more data servers. The data store 120 includes data used by the authorization engine 116, the synchronization engine 118, and other engines of the creative device 110.

In some embodiments, the user installs the various applications supported by the creative device 110 via the application management download engine 114. An application installer that may include a copy of the integration tool 104 or a copy of the content creation tool 102 resides in the data storage unit 120 and is retrieved by the application management download engine 114. Plug-ins or other applications that may be included in the application data 128 or stored with the application data 128 may be available to the user directly or via the application management download engine 114. In some embodiments, the application data 128 is obtained and provided to the user via an interface of the application management download engine 114. In other embodiments, certain application data 128 that the user is authorized to based on the user's operating profile is displayed to the user. The user selects from the application data 128 the application that includes the integration tool 104 or the application that the user wants to download. The integration tool 104 or other application data 128 is downloaded to the user device 101 via the application management download engine 114. Corresponding data associated with the download is also updated in the user operational profile 126. The application management download engine 114 also manages this process of providing updates to the user device 101.

In some embodiments, the user is asked to provide login details when downloading, installing, and launching the application. The user management engine 112 and authorization engine 116 again check to ensure that the user is authorized to use the application. In other embodiments, direct access to the application program is provided when the user has logged into the application management download engine 114.

The user creates one or more items or assets using one or more services provided by the creative device 110. These services include, for example, content creation services, content publishing services, and integration services provided by one or more of the content creation tool 102 and the integration tool 104. In addition, the user also has a workspace within each application. A workspace as described herein includes settings for an application, settings for tools or user interfaces provided by the application, and any other settings or properties specific to the application. Each user has a workspace. The workspace, project, or asset is then stored in the data storage unit 148 by the synchronization engine 118. This data may be user specific or may be shared with other users based on rights management.

In some embodiments, the media content item 129 is stored in the data storage unit 120 or another suitable non-transitory computer-readable medium accessible by one or more of the user device 101 and the creative device 110. The media content items 129 may be shared assets that the user of the user device 101 wishes to share with viewers (e.g., via posting to one or more social media services 109). The media content items 129 are also accessible across multiple applications (e.g., the integration tool 104) provided through or in communication with the creative device 110 or the marketing device 136.

In some embodiments, each media content item 129 comprises one or more files. Examples of such files include, but are not limited to, images 130, text 132, video 133, documents 135, combinations of any of these, and the like.

In some embodiments, workspace data 134 and project data 137 are stored in data storage unit 120. In some embodiments, the project data 137 includes the media content items 129 or information about the media content items 129 (e.g., groupings of media content items, tags, or other metadata to be applied to the media content items 129, etc.).

Each user device 101 is communicatively coupled to marketing means 136 via data network 103. The user of user device 101 uses various products, applications, or services supported by marketing device 136 via data network 103. Marketing device 136 includes one or more devices that provide and execute one or more engines to provide one or more digital experiences to users. Marketing device 136 may be implemented using one or more servers, one or more platforms with corresponding application programming interfaces, cloud infrastructure, and the like. Further, each engine may also be implemented using one or more servers, one or more platforms with corresponding application programming interfaces, cloud infrastructure, and the like.

Marketing device 136 also includes a data storage unit 148. The data storage unit 148 may be implemented as one or more databases or one or more data servers. Data storage unit 148 includes data used by the engine of marketing device 136.

In some embodiments, marketing device 136 may be divided into two layers of engines. For example, layer 1 includes core engines that provide workflows for users, and layer 2 includes a sharing engine that is shared between core engines. Any core engine may invoke any shared engine to perform the corresponding task. In additional or alternative embodiments, marketing device 136 has no layers, and each core engine may have an instance of a shared engine. In various embodiments, each core engine may access data storage unit 148 directly or through a shared engine.

In some embodiments, the user of the user device 101 visits a web page or application store to explore applications supported by the marketing device 136. The applications are provided as software as a service ("SaaS"), as stand-alone applications that may be installed on one or more user devices 101, or as a combination. The user creates an account with the marketing device 136 by providing user details without clearing the user from creating login details. In additional or alternative embodiments, marketing device 136 may automatically create login details for the user in response to receiving the user details. The user may also contact the entity that provides the service of marketing device 136 and may obtain an account created by the entity. The user details are received by the subscription engine 144 and stored as user data 152 in the data storage unit 148. In some embodiments, the user data 152 also includes account data 154 that stores user details.

The user may select one or more engines that subscribe to the marketing device 136. Based on the subscription details of the user, a user subscription profile 156 is generated by the subscription engine 144 and stored. The user subscription profile 156 is stored in the data storage unit 148 and indicates the user's authorization for various products or services. The user subscription profile 156 also indicates the type of subscription, e.g., premium subscription or normal subscription.

Although fig. 1 depicts multiple sets of user data 122, 152 and account data 124, 154 on separate data storage units 120, 148, other implementations are possible. For example, the same data storage unit may store a common set of user data and associated account data, where a set of user data and associated account data is accessible by the creative device 110 and the marketing device 136.

Each engine of marketing device 136 also stores customer data 158 for the user in data storage unit 148. The user or entity of the user may have one or more customers, including potential customers, and thus, the one or more engines of marketing device 136 store customer data 158. Customer data 158 may be shared across these engines or may be specific to each engine. In some embodiments, access data 160 is part of customer data 158. Access to customer data 158 is controlled by access control engine 146, access control engine 146 can be shared across the engines of marketing device 136, or each engine can have an instance of access control engine 146. The access control engine 146 determines whether a user has access to particular customer data 158 based on the user's subscription and the user's access rights.

The user of marketing device 136 may enable tracking of content while the content is being created or at any other point. Various tracking methods may be used. For example, tracking code may be embedded into the content for tracking and the tracked data sent to the analysis engine 138. The analysis engine 138 tracks the data and stores the tracked data as metric data 150 or other analysis data. The analysis engine 138 tracks the data and processes the metric data 150 or other analysis data meaningfully to provide various reports to the user. Further, in some embodiments, the analysis engine 138 also functions as a sharing engine, and is accessible by other engines to obtain meaningful analysis depending on which other engines may provide various functionality to the user. In additional or alternative embodiments, each engine may have an instance of the analysis engine 138 customized to the needs of that engine. In various embodiments, the analytics engine 138 is used to track one or more types of content, such as mobile applications, videos, images, websites, documents, advertisements, and so forth. In some embodiments, the analytics engine 138 also supports predictive intelligence to provide predictions based on the metric data 150 or other analytics data. In some embodiments, the analytics engine 138 also stitches information tracked from various sources from which content is consumed and provides an overall view (e.g., a 360 degree view) of the metric data 150 or other analytics data.

In some embodiments, marketing device 136 also includes a content personalization engine 140. The content personalization engine 140 enables users to provide different digital experiences to customers when they access the same web page or the same application of the user. The content personalization engine 140 provides various workflows to the user to create different versions of web pages or applications or content and perform a/B testing. Based on the testing, the user may choose to provide different personalization for different sets of customers. The content personalization engine 140 also uses customer data 158. Customer data 158 includes customer profiles. A customer as described herein also includes only guests that are not customers. The profile includes one or more attributes of the customer. Attributes, as described herein, are features that allow for the separation of customers into groups. Examples of attributes include, but are not limited to, geographic location, age, gender, purchasing power, language, habits, browsing trends, or any other attribute that may be used to segment a customer.

Customer data 158 (at least some of which may be included in the metrology data 150 or stored separately from the metrology data 150) is generated by the customer segmentation engine 142 by collecting data from different sources, including electronic sources such as the analysis engine 138, online forms, online customer submission data, and other online sources, and non-electronic sources including paper forms and other offline sources. Customer data 158 may be shared among users, and some customer data 158 may be specific to each user and inaccessible to other users. The content personalization engine 140 personalizes content using customer segmentation and shows the relevant content to the customer. In addition, the content personalization engine provides automated workflows to achieve personalization, including providing suggestions for content that should be shown segmented to a particular customer.

In various embodiments, customer data 158 also includes data about the devices used by the customer. The device data is used to stitch the customer data. For example, customer 1 may access website a using device 1. Customer 1 may access website B with user device 2. Website a and website B may belong to the same user. Thus, instead of treating customer 1 as two different customers, data comprising at least one common identifier (such as an email id) helps the user to identify that two different accesses are made by the same customer 1. Further, by analyzing customer data 158 and metrics data 150 or other analytical data, a richer customer profile or segment can be generated. In addition, devices corresponding to the same customer may be identified, thereby providing a more targeted digital experience for the customer and providing benefits to the user.

In some embodiments, the analytics engine 138 processes data received from one or more social media services 109, data generated by interactions of the viewer device 106 with one or more social media services 109, or any other data associated with one or more social media services 109. The metric data set 150 is generated by the interaction of the viewer device 106 with the social media service 109. Social media service 109 provides applications, data, and other functionality that are accessed by one or more viewer devices 106 via the internet or one or more other suitable data networks 103. Examples of social media services 109 include social media websites accessible by viewer applications 108 such as web browsers via the internet, private viewer applications 108 (e.g.,

application, "Twitter^TMAn "application") and the like via a prior service accessible by the internet.

Digital tools as described herein include tools for electronically performing functions or workflows. The digital tools include a creative device 110 and a marketing device 136.

A digital experience as described herein includes an experience that can be consumed by an electronic device. Examples of digital experiences include content creation, content editing, content tracking, content publishing, content printing, content management, content viewing, content consumption, any combination of these experiences, or any other workflow or function that may be performed in relation to content.

Content as described herein includes electronic content. Examples of content include, but are not limited to, images, videos, websites, web pages, user interfaces, menu items, tool menus, magazines, slides, animations, social posts, comments, blogs, data feeds, audio, advertisements, vector graphics, bitmaps, documents, any combination of one or more of the content, or any other electronic content.

Examples of operations and architectures for analytics integration

Figure 2 is a block diagram depicting a content creation tool 102 (e.g.,

premiere Pro), social media marketing service 206 (e.g.,

social) and analytics service 208 (e.g.,

analytics) an integration tool 104 that communicates to integrate social media analysis with content authoring. The integration tool 104 is a plug-in that is added to the content creation tool 102 or that communicates with the content creation tool 102. In some embodiments, the social media marketing service 206 and the analysis service 208 execute on one or more of the creative device 110 and the marketing device 136 shown in FIG. 1.

The integration tool 104 generates and updates the analysis interface 202 presented in the content creation tool 102. In one example, the analysis interface 202 is an HTML5 panel that is docked or otherwise added to one or more local interfaces of the content creation tool 102. Fig. 3 depicts an example of an analysis interface 300 (i.e., a specific example of the analysis interface 202) that is available via the "audience insight" tab of the particular content creation tool 102. The analytics interface 300 enables a user to provide credentials for logging into different social media services and performing integrated analytics tracking, as described in detail herein.

In some embodiments, the social media marketing service 206 provides a common workflow for posting media content items (e.g., online marketing content items) to various social media services 109. For example, the social media marketing service 206 enables different media content items from a common group (or project) to be published across multiple social media services 109 in a manner that maintains topic consistency. The social media marketing service 206 may also be used to monitor trends regarding which types of online content are searched, accessed, or otherwise used in different social media services 109.

In some embodiments, the analytics service 208, which includes or uses the analytics engine 138 shown in FIG. 1, generates analytics in real-time in response to viewers using or accessing media content items posted to the social media service 109. The analysis service 208 is used to identify segments of different viewers that use or otherwise access the online media content item. The analytics service 208 provides insight regarding how viewers respond to online content, such as media content items posted to the social media service 109 or other online portals. Analysis service 208 collects and analyzes data related to measurable actions taken by viewers while interacting with online content (e.g., searches, clicks, playback actions, navigation actions, etc.). In some embodiments, this enables analytics service 208 to identify patterns and behaviors in the large amount of data generated by viewers' interactions involving online content.

In some embodiments, the integration tool 104 creates a DVA publishing service 204 for communicating with the social media marketing service 206 and the analytics service 208. The integration tool 104 communicates with the social media marketing service 206. This enables media content items generated or modified by the content creation tool 102 to be published to different social media services 109. The integration tool 104 also communicates with the analytics service 208 using the DVA publishing service 204. This enables analysis to be provided to the integration tool 104 after the media content item is published. These analyses are generated by, for example, views of media content items posted to different social media services 109, interactions with media content items posted to different social media services 109, and interactions with posted media content items and other viewer usage or viewer access.

FIG. 4 is a diagram depicting an example in which an integration tool uses a mapping 406 to associate different media content items with a grouping 400 and a set of metadata 404. The mapping 406 may be any suitable data structure having rows, records, or other data items describing the

media content items

402a, 402 b. The

media content items

402a, 402b comprise a subset of the media content items 129 shown in fig. 1. Examples of

media content items

402a, 402b include video, images, graphics, and so forth. A given data item in the map 406 includes an identifier of the given media content item, as well as an identifier of the group (e.g., group 400 described in fig. 4) or item to which the media content item is assigned.

In some embodiments, the mapping 406 includes data describing a set of metadata associated with the media content item. The set of metadata 404 includes one or more keywords, one or more tags, or one or more other identifiers that may be applied to the media content item, for example, when posted to a social media service. In these embodiments, mapping 406 is updated to include identifiers of certain sets of metadata associated with certain media content items.

Fig. 5 is a diagram depicting an example of a client architecture for the integration tool 104. The client architecture includes a home controller 500, a publication controller 502, and an analysis controller 504. Each controller includes one or more software engines for performing one or more functions at the user device 101 executing the integration tool 104.

The home page controller 500 is executed by a suitable processing device to provide a login process. For example, the login process is implemented via a login engine 506, the login engine 506 comprising program code for authenticating a user. In some embodiments, analysis interface 202 is updated to provide one or more login options. For example, fig. 6 depicts enabling a user to provide a user to log into a different social media service (e.g.,

Twitter^TMetc.) of a certificate 600.

Returning to FIG. 5, the publication controller 502 responds to user input received via the analysis interface 202 by causing the user device 101 or another suitable computing system to continue publishing the media content item. For example, the publication controller 502 executes a sharing service 508 for publishing media content items. The publication controller 502 controls the grouping of videos, the assignment of tags, and the publication of videos to various social platforms.

The DVA publishing function 516 enables global presets to be configured for different social media services 109. Examples of global presentations include encoding parameters for encoding videos or other media content items and specific to different social media services 109, aspect ratio requirements 109 for different social media services, duration limits for different social media services 109, and so forth. The integration tool 104 receives global presets as input to the upload engine 514 and the group list 518. In one example, the analysis interface 202 is updated to include options for obtaining presets (e.g., encoding parameters) from a user.

For example, fig. 7 depicts an example of an updated analysis interface 700. The updated analysis interface 700 includes options for selecting export settings (e.g., resolution, file size, etc.), location (e.g., channel, playlist, etc.), privacy settings, and the like.

Returning to fig. 5, the sharing service 508 also obtains configuration parameters from the presets 510, receives content items 522, causes the one or more encoder engines 512 to encode video or other media content items using the configuration parameters, and causes the upload engine 514 to post the video or media content items to the various social media services 109. To obtain analysis information, a user accesses analysis controller 504. The analysis controller 504 obtains a packet list containing various packets 520. Each of the groups 520 may contain a plurality of content items 522.

FIG. 8 is a diagram depicting an example of a service architecture used by the integration tool 104. The service architecture includes a load balancing system 800, cloud services 802, and additional cloud services 806. The load balancing system 800 provides the ability to ensure that resources are adequately balanced among the different servers. Cloud service 802 includes

web servers

804a, 804 b. The cloud services 806 include the social media marketing service 206 (e.g.,

social) and analytics service 208 (e.g.,

analytics). If the end user views the video as part of the system, the web server communicates with the social media marketing service 206 and the analytics service 208 to facilitate capturing analytics tracking data.

Examples of the client architecture, service architecture, and various interfaces shown in fig. 5-8 are provided for purposes of illustration. Other implementations may be used. For example, some or all of the client architecture engines shown in fig. 5 may execute on a server system instead of (or in addition to) user device 101. In another example, one or more of the features shown in fig. 5-8 may be omitted, combined, or otherwise altered.

FIG. 9 is a flow diagram depicting an example of a method 900 for integrating social media analysis with content creation tools. In some embodiments, one or more processing devices implement the operations illustrated in fig. 9 by executing suitable program code (e.g., one or more of content creation tool 102 and integration tool 104). For purposes of illustration, the method 900 is described with reference to the examples shown in FIGS. 1-8 and 10-15. However, other implementations are possible.

At block 902, method 900 involves providing an analysis interface for a content creation tool. For example, at least one processing device executes the integration tool 104 to provide the analysis interface 202 shown in FIG. 2. Examples of the analysis interface 202 are described herein with respect to fig. 2, 3, 6, 7, and 10-14.

At block 904, the method 900 involves selecting a first media content item and a second media content item, where a portion of the first media content item has the same content as a portion of the second media content item. For example, at least one processing device executes the integration tool 104 to receive input via the analysis interface 202. The input indicates, for example,

media content items

402a, 402 b. Examples of such

media content items

402a, 402b include video, still images, graphics, and so forth. The integration tool 104 accesses a non-transitory computer-readable medium storing the

media content items

402a, 402 b. The integration tool 104 retrieves or otherwise selects the

media content items

402a, 402b from the non-transitory computer-readable medium.

At block 906, the method 900 involves modifying the first media content item to comply with a first formatting constraint of the first social media service, and modifying the second media content item to comply with a second formatting constraint of the second social media service. For example, one or more processing devices execute suitable program code for modifying the

media content items

402a, 402 b. In some embodiments, the program code implements one or more content creation or content modification features of the content creation tool 102 for modifying certain aspects of the

media content items

402a, 402 b. In additional or alternative embodiments, the program code implements certain features of the integration tool 104 for modifying certain aspects of the

media content items

402a, 402 b.

In some embodiments, the formatting constraints of the social media service include duration limits. In these embodiments, block 906 involves removing at least some content from the media content item, such as a video, such that the media content item conforms to the duration constraint. In additional or alternative embodiments, the formatting constraints of the social media service include file format requirements. In these embodiments, block 906 involves formatting a video, image, or other media content item using one or more encoder engines 412 such that the media content item is encoded in a file format required or otherwise used by a given social media service. In additional or alternative embodiments, the formatting constraints of the social media service include aspect ratio requirements. In these embodiments, block 906 involves modifying a video, image, or other media content item such that the media content item has an aspect ratio that is needed or otherwise used by a given social media service.

At block 908, the method 900 involves updating a mapping for associating the first media content item and the second media content item with the grouping. For example, at least one processing device executes the integration tool 104 to create or update the mapping 406. The integration tool 104 accesses the mapping 406 from, or creates the mapping 406 in, a non-transitory computer-readable medium. For each media content item, the integration tool 104 creates a corresponding row, record, or other data item in the map 406. A row, record, or other data item in the map 406 has an identifier (e.g., a filename) for the media content item. The integration tool 104 adds a group identifier to the group assigned the media content item.

In some embodiments, the analysis interface 202 includes a button or other element that receives input indicating a desire to apply the set of metadata 404 to the media content items in the grouping. For example, set of metadata 404 may include one or more keywords, one or more tags, or some combination thereof. The integration tool 104 receives commands generated through interaction with buttons or other elements. The command indicates that the set of metadata 404 should be applied to the media content items in the grouping 400. The integration tool 104 responds to the command by applying one or more items from the set of metadata 404 to one or more of the

media content items

402a, 402 b. For example, tags or keywords from the set of metadata 404 are applied to the

media content items

402a, 402 b. Such application of tags or keywords occurs prior to

media content items

402a, 402b published via one or more social media services 109.

In some aspects, the integration tool 104 updates the analysis interface 202 to provide suggestions or other options for applying the set of metadata 404. An example of such an updated analysis interface is shown in fig. 10. Fig. 10 depicts an interface 1000 that includes one or more prompts that suggest certain tags to be added to one or more videos or other media content items during the publication process.

Returning to FIG. 9, the method 900 also involves posting the first media content item to a first social media service and posting the second media content item to a second social media service, as shown at block 910. For example, at least one processing device executes the integration tool 104 to communicate with the social media marketing service 206 via the DVA publishing service 204. The integration tool 104 transmits the

media content items

402a, 402b to the social media marketing service 206 (or otherwise provides access to the

media content items

402a, 402 b) and instructions to post the

media content items

402a, 402b to the social media service 109. The

media content items

402a, 402b are posted after being modified to comply with any restrictions of the social media service 109.

At block 912, method 900 involves using the mapping to match the packet with: (i) a first analysis of a first media content item received from a first social media service, and (ii) a second analysis of a second media content item received from a second social media service. For example, at least one processing device executes the integration tool 104 to communicate with the analytics service 208 via the DVA publishing service 204. The integration tool 104 receives the analysis data from the analysis service 208. For example, the analytics service 208 collects analytics regarding one or more interactions involving the

media content items

402a, 402 b. Examples of such interactions include searching for

media content items

402a, 402b (in the social media service 109 or a separate search engine), viewing

media content items

402a, 402b published via the social media service 109, interacting with (playing, stopping, pausing, skipping, etc.)

media content items

402a, 402b published via the social media service 109, and so forth.

At block 914, the method 900 involves providing an updated version of the analysis interface having a visual representation for a grouping analysis of the grouping, wherein the grouping analysis is generated based on matching the grouping to the first analysis and the second analysis. For example, at least one processing device executes the integration tool 104 to update the analysis interface 202 with a visual indicator of the group analysis. In some aspects, the group is associated with a category of at least one of a social media service type, a group tag, or a keyword. Examples of update analysis interfaces 202 with visual indicators of group analysis are shown in fig. 11 and 12. In the interface 1100 shown in fig. 11 and the interface 1200 shown in fig. 12, the effect data is categorized by social media service, viewing time, average viewing duration, number of views, analysis of different geographical areas, and the like.

In some embodiments, the integration tool 104 enables a user to identify certain portions of media content items associated with changes in viewer response (e.g., an increase in view, increased interaction, navigating away from a video, stopping a video, etc.). For example, if the media content item is a video, the integration tool 104 causes playback of the video in the analysis interface 202 or another appropriate interface of the content creation tool 102. The integration tool 104 uses group analysis to identify changes in viewer response to the video. The integration tool 104 determines that the change in viewer response exceeds a threshold change. The threshold change may be a user-provided number, a statistical threshold (e.g., a median number of views or interactions, a number of standard deviations in the distribution of views or interactions, etc.), or any other threshold. Based on this determination, the integration tool 104 updates the analysis interface 202 (or causes the content creation tool 102 to update another suitable user interface) to indicate the portion of the video associated with the change in viewer response. For example, if a video is played in the content creation tool, the integration tool provides an indicator in the analysis interface when the relevant video portion is played, overlays a visual indicator on the relevant portion of the video being played, or visually indicates that certain video content is associated with a change in the determined viewer response.

In some embodiments, the integration tool 104 enables a user to view an analysis of particular media content items posted to a particular social media service. For example, the integration tool generates an updated version of the analysis interface 202 with a visual representation of the service-specific analysis generated via interaction of a particular social media service with a certain media content item. This feature enables users of the content creation tool 102 to individually view and analyze service-specific analysis of certain media content items from a group (e.g., analysis specific to videos posted to a certain social media service). Examples of updated analysis interfaces 202 with visual indicators of service-specific analyses are shown in fig. 13 and 14. In the

interfaces

1300 and 1400 shown in fig. 13 and 14, different tags correspond to different social media services and their associated service-specific analytics.

Examples of computing systems for analytics integration

Any suitable computing system or group of computing systems may be used to perform the operations described herein. For example, fig. 15 is a block diagram depicting an example of a computing system 1500 executing an integration tool 104 for integrating social media analysis with a content creation tool 102. An example of computing system 1500 is user device 101 shown in FIG. 1.

The depicted example of computing system 1500 includes one or more processors 1502 communicatively coupled to one or more memory devices 1504. The processor 1502 executes computer-executable program code stored in the memory device 1504, accesses information stored in the memory device 1504, or both. Examples of processor 1502 include a microprocessor, an application specific integrated circuit ("ASIC"), a field programmable gate array ("FPGA"), or any other suitable processing device. The processor 1502 may include any number of processing devices, including one.

The memory device 1504 includes any suitable non-transitory computer-readable medium for storing the integration tool 104. The computer readable medium may include any electronic, optical, magnetic, or other storage device capable of providing a processor with computer readable instructions or other program code. Non-limiting examples of a computer-readable medium include a disk, a memory chip, a ROM, a RAM, an ASIC, an optical storage device, a tape or other magnetic storage device, or any other medium from which a processing device can read instructions. The instructions may include processor-specific instructions generated by a compiler or interpreter from code written in any suitable computer programming language, including, for example, C, C + +, C #, Visual Basic, Java, Python, Perl, JavaScript, and ActionScript.

Computing system 1500 may also include a number of external or internal devices, such as input or output devices. For example, computing system 1500 is shown with an input/output ("I/O") interface 1508 that can receive input from input devices or provide output to output devices. Bus 1506 may also be included in computing system 1500. Bus 1506 may communicatively couple one or more components of computing system 1500.

The computing system 1500 executes program code that configures the processor 1502 to perform one or more of the operations described herein. The program code includes, for example, a content creation tool 102, an integration tool 104, or other suitable application that performs one or more of the operations described herein. The program code may reside in the memory device 1504 or any suitable computer readable medium and be executed by the processor 1502 or any other suitable processor. In some embodiments, the program code described above is stored in memory device 1504, as shown in FIG. 15. In additional or alternative embodiments, the program code described above is stored in one or more memory devices accessible via a data network.

Computing system 1500 may access one or more of

media content items

402a, 402b, metadata set 404, and mappings 406 in any suitable manner. In some embodiments, some or all of one or more of the

media content items

402a, 402b, the set of metadata 404, and the mapping 406 are stored in the memory device 1504, as in the example shown in fig. 15. In additional or alternative embodiments, one or more of the

media content items

402a, 402b, the set of metadata 404, and the mapping 406 are stored in one or more memory devices accessible via a data network.

The computing system 1500 shown in fig. 15 also includes at least one network interface 1510. The network interface 1510 comprises any device or group of devices adapted to establish a wired or wireless data connection to one or more data networks. Non-limiting examples of network interface 1510 include an Ethernet network adapter, modem, and the like. The computing system 1500 can communicate with one or more other computing devices via a data network using the network interface 1510.

In some embodiments, computing system 1500 includes a rendering device 1512, as shown in FIG. 15. The rendering device 1512 may include any device or group of devices suitable for providing visual, auditory, or other suitable sensory output. Non-limiting examples of the presentation device 1512 include a touch screen, a display, a speaker, a separate mobile computing device, and so forth. In some embodiments, the integration tool 104 configures the rendering device 1512 to render one or more analysis interfaces 202 generated or updated by the integration tool 104.

General considerations of

Numerous specific details are set forth herein to provide a thorough understanding of claimed subject matter. However, it will be understood by those skilled in the art that claimed subject matter may be practiced without these specific details. In other instances, methods, apparatuses, or systems that would be known by one of ordinary skill have not been described in detail so as not to obscure claimed subject matter.

Unless specifically stated otherwise, it is appreciated that throughout the description, discussions utilizing terms such as "processing," "computing," "calculating," "determining," and "identifying" refer to the action and processes of a computing device, such as one or more computers or similar electronic computing devices, that manipulates and transforms data represented as physical electronic or magnetic quantities within memories, registers, or other information storage, transmission, or display devices of the computing platform.

The systems discussed herein are not limited to any particular hardware architecture or configuration. The computing device may include any suitable arrangement of components that provides results that are adjusted on one or more inputs. Suitable computing devices include multipurpose microprocessor-based computer systems that access stored software that programs or configures the computing system from a general-purpose computing device to a specific-purpose computing device that implements one or more embodiments of the present subject matter. The teachings contained herein in software for programming or configuring a computing device may be implemented using any suitable programming, scripting, or other type of language or combination of languages.

Embodiments of the methods disclosed herein may be performed in the operation of such computing devices. The order of the blocks presented in the above examples may be varied, e.g., the blocks may be reordered, combined, and/or partitioned into sub-blocks. Some blocks or processes may be performed in parallel.

The use of "adapted to" or "configured to" herein is intended to be open and inclusive language that does not exclude devices adapted or configured to perform additional tasks or steps. Moreover, the use of "based on" is intended to be open and inclusive in that a process, step, calculation, or other action that is "based on" one or more stated conditions or values may in fact be based on additional conditions or values than those stated. The headings, lists, and numbers included herein are for explanation only and are not intended to be limiting.

While the present subject matter has been described in detail with respect to specific embodiments thereof, it will be appreciated that those skilled in the art, upon attaining an understanding of the foregoing, may readily produce alterations to, variations of, and equivalents to such embodiments. Accordingly, it is to be understood that the present disclosure has been presented for purposes of illustration and not limitation, and does not preclude inclusion of such modifications, variations and/or additions to the present subject matter as would be readily apparent to one of ordinary skill in the art.

Claims

1. A method for integrating social media analytics with a content creation tool, the social media analytics describing interactions with grouped media content across a plurality of social media services, the content creation tool for creating or modifying the grouped media content, the method comprising:

providing, by a processing device, an analysis interface for the content creation tool;

performing, by the processing device, operations based on input received via the analysis interface, the operations comprising:

selecting a first video item and a second video item, wherein at least a first video segment and a second video segment are included in both the first video item and the second video item,

modifying the first video item to comply with a first formatting constraint of a first social media service, and modifying the second video item to comply with a second formatting constraint of a second social media service,

updating a mapping for associating the first video item and the second video item with a packet, an

Posting the first video item to the first social media service and posting the second video item to the second social media service;

matching, by the processing device based on the mapping, the packet to: (i) a first analysis for the first video item received from the first social media service, and (ii) a second analysis for the second video item received from the second social media service; and

identifying, by the processing device, a change in viewer response associated with the first video segment from a combination of the first analysis and the second analysis;

determining, by the processing device, that the change in viewer response exceeds a threshold change;

updating, by the processing device, the analysis interface to include an indicator during playback of the first video segment that identifies the first video segment as being associated with the change in viewer response based on determining that the change exceeds the threshold change; and

updating, by the processing device, the analysis interface to omit the indicator during playback of the second video segment.

2. The method of claim 1, wherein updating the mapping for associating the first video item and the second video item with a grouping comprises updating a mapping data structure by modifying at least a first record and a second record, the first record describing that the first video item includes a reference to the grouping and the second record describing that the second video item includes a reference to the grouping, wherein the updating of the mapping data structure associates the first video item and the second video item with the grouping, wherein the analysis interface comprises elements for applying metadata to video items in the grouping, wherein the metadata comprises at least one of a keyword or a tag, wherein the method further comprises:

receiving, by the processing device, a command generated by an interaction with the element, wherein the command indicates that the metadata should be applied to the video item in the packet; and

responding, by the processing device to the command, to: (i) applying the metadata to the first video item prior to posting the first video item to the first social media service; and (ii) apply the metadata to the second video item prior to posting the second video item to the second social media service.

3. The method of claim 2, wherein the first video item and the second video item are generated from video content,

wherein modifying the first video item to comply with a first formatting constraint of the first social media service comprises modifying the video content to comply with at least one of: a duration limit for the first social media service, a file format requirement for the first social media service, or an aspect ratio requirement for the first social media service,

wherein modifying the second video item to comply with a second formatting constraint of the second social media service comprises modifying the video content to comply with at least one of: a duration limit for the second social media service, a file format requirement for the second social media service, or an aspect ratio requirement for the second social media service.

4. The method of claim 2, wherein the first video item comprises at least one of a first video, a first still image, or a first graphic,

wherein the second video item comprises at least one of a second video, a second still image, or a second graphic.

5. The method of claim 1, further comprising updating the analysis interface to display a combined analysis for both: (i) interaction with the first video item via the first social media service, and (ii) interaction with the second video item via the second social media service.

6. The method of claim 5, further comprising providing an updated version of the analytics interface with a visual representation of a service-specific analytics generated from the interaction with the first video item via the first social media service.

7. The method of claim 1, wherein the group is associated with a category for at least one of a social media service type, a group tag, or a keyword.

8. The method of claim 1, further comprising:

executing an integration tool, the integration tool being a plug-in to the content creation tool, wherein the integration tool provides the analysis interface for the content creation tool;

establishing, via the integration tool, a communication link with an analytics service external to the content creation tool; and

retrieving, with the integration tool and via the communication link, the first analysis and the second analysis.

9. The method of claim 8, further comprising, prior to posting the first video item to the first social media service and posting the second video item to the second social media service:

causing, by the integration tool, login prompts for one or more of the first social media service and the second social media service to be presented within a content creation interface of the content creation tool;

receiving, via the login prompt, credentials for the one or more of the first social media service and the second social media service; and

authenticating a user of the content creation tool to the one or more of the first social media service and the second social media service.

10. A system for integrating social media analytics with a content creation tool, the social media analytics describing interactions with grouped media content across a plurality of social media services, the content creation tool for creating or modifying the grouped media content, the system comprising:

one or more processing devices configured to perform operations comprising:

providing, to a client device, access to an analysis interface for the content creation tool;

selecting a first video item and a second video item in response to input via the analysis interface, wherein at least a portion of the first video item has the same content as at least a portion of the second video item,

matching the packet based on the mapping with: (i) a first analysis for the first video item received from the first social media service, and (ii) a second analysis for the second video item received from the second social media service;

identifying, from a combination of the first analysis and the second analysis, a change in viewer response associated with a first video segment;

determining that a change in the viewer response exceeds a threshold change;

updating the analysis interface to include an indicator during playback of the first video segment based on determining that the change exceeds the threshold change, the indicator identifying the first video segment as being associated with a change in the viewer response; and

providing the client device with access to the updated analysis interface.

11. The system of claim 10, wherein updating the mapping for associating the first video item and the second video item with a grouping comprises updating a mapping data structure by modifying at least a first record and a second record, the first record describing that the first video item includes a reference to the grouping and the second record describing that the second video item includes a reference to the grouping, wherein the updating of the mapping data structure associates the first video item and the second video item with the grouping, wherein the analysis interface comprises elements for applying metadata to video items in the grouping, wherein the metadata comprises at least one of a keyword or a tag, wherein the operations further comprise:

receiving a command generated by an interaction with the element, wherein the command indicates that the metadata should be applied to the video item in the packet; and

in response to the command: (i) applying the metadata to the first video item prior to posting the first video item to the first social media service; and (ii) apply the metadata to the second video item prior to posting the second video item to the second social media service.

12. The system of claim 11, wherein the first video item and the second video item are generated from video content,

13. The system of claim 12, wherein the first video item comprises at least one of a first video, a first still image, or a first graphic,

14. The system of claim 10, wherein the operations further comprise updating the analysis interface to display a combined analysis for: (i) interaction with the first video item via the first social media service, and (ii) interaction with the second video item via the second social media service.

15. The system of claim 14, wherein the operations further comprise providing an updated version of the analytics interface with a visual representation of a service-specific analytics generated from the interaction with the first video item via the first social media service.

16. The system of claim 10, wherein the group is associated with a category for at least one of a social media service type, a group tag, or a keyword.

17. A non-transitory computer-readable medium having program code stored thereon and executable by a processing device to perform operations comprising:

providing an analysis interface for a content creation tool;

performing operations based on input received via the analysis interface comprising:

identifying, from a combination of the first analysis and the second analysis, a change in viewer response associated with the first video segment;

determining that a change in the viewer response exceeds a threshold change; and

omitting the indicator from the analysis interface during playback of the second video segment.

18. The non-transitory computer-readable medium of claim 17, wherein updating the mapping for associating the first video item and the second video item with a grouping comprises updating a mapping data structure by modifying at least a first record and a second record, the first record describing that the first video item includes a reference to the grouping and the second record describing that the second video item includes a reference to the grouping, wherein the updating of the mapping data structure associates the first video item and the second video item with the grouping, wherein the analysis interface includes an element for applying metadata to video items in the grouping, wherein the metadata includes at least one of a keyword or a tag, wherein the operations further comprise:

19. The non-transitory computer-readable medium of claim 17, wherein the operations further comprise updating the analysis interface to display a combined analysis for: (i) interaction with the first video item via the first social media service, and (ii) interaction with the second video item via the second social media service.