Introduction to Listen & Analyze
Welcome to Listen & Analyze.
Listen & Analyze gives you an in-depth look into how users are interacting with your Facebook Pages, Twitter streams, Google+ Pages, YouTube channels, and the content you publish through Oracle SRM in Publish and Content & Apps. This granular data can help you understand these interactions and improve your content, creating more user engagement with your brand. It includes metrics for all your Oracle Social Marketing tools, with separate sections for account-wide metrics, data on your streams & posts, and data on your Views & modules.
Listen & Analyze also includes dashboards and reports from Social Engagement and Monitoring (SEM). The Dashboards tab provides a real-time and automated view into the social side of your business by revealing trends using a variety of analytical indicators. The SEM Reports tab allows you to quickly track user and data activity. With user reports, you can see the internal actions per user during a specific time period. For data reports, you can see all content for a channel during a specific time period.
Basic Terminology
Let's go over some terminology that you will see throughout these help articles. Many of these names or phrases are specific to Listen & Analyze, so it is important to know what they refer to.
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Fans: Facebook users who have clicked the Like button on your brand's Facebook page.
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Active Users: This is a metric defined by Facebook. Their definition is fans and non-fans who have viewed your brand's page or its posts. This includes when a post appears in their newsfeed or a visit to view a post directly on your page.
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User Engagement: This metric measures the actions that have been taken on your brand's Facebook page's Wall.
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Actions: These items happen on your brand's Facebook wall. It includes Likes, comments, posts, Shares, clicks, and engagement with wall apps, like polls or quizzes.
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Indicators: Preconfigured filters that extract and analyze precise aspects of conversations. An indicator contains logic designed to recognize a specific response or reaction within each conversation. For example, if social media content has language describing a problem with a product or service, then that conversation is categorized into the Problem indicator.
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Content Type: Types of social sources, such as microblogs, blogs, message boards, social sites, and so on.
- Topic: The organizational structure used to group a set of keyword searches that are created to aggregate and track relevant social media conversations. Topics are given a name for easy recognition. For example, the topic Oracle could aggregate posts that mention Oracle, @Oracle, or Oracle Corp.
Messages: These are social posts, and they make up your Listen subscription (what you are charged for in Listen). The number of messages you can bring into your account is listed on the Listen Topics page. A single message can result in multiple mentions, which are defined below.
Mentions: These are social mentions that match your Topic criteria. A single message (social post) can result in multiple mentions.
Theme: Listen semantically filters conversations that have matched to a Topic's search query and groups them into like conversations. These groups, or Themes, enable quick and accurate depictions of conversation drivers for the Topic.
Sentiment: Tonality of a mention (positive, negative, or neutral).
Software Note
This feature uses Highstock JS and Highcharts software, which is owned and licensed through Highsoft Solutions AS.