Save Time and Analyze at Scale with Rule-based Labeling

Labeling posts is a key element when it comes to optimizing social media strategies. After all, you can use labels to report on your campaigns, allowing you to truly understand whether your performance across various profiles is improving. This can also help larger enterprise brands analyze at scale. A new Suite feature, rule-based labeling, effectively allows users to automatically label posts from Facebook, Instagram, Twitter, YouTube, and Pinterest. Users can save a lot of time and also label many more posts as opposed to manual labeling.

And how does rule-based labeling work? It’s easy! Customers can label posts based on keywords, sentences, hashtags, or links in order to take their reporting to another level.

Note: In 2 weeks, automated labeling for Comments and Direct Messages will also be available in Community.

Dig deep into the how-to of rule-based labeling in our Online Education article here!

React Agilely on Social with Sentiment Analysis

Understanding your social media community is an integral part of every social media strategy. Without it, you might be creating content for the wrong audiences – and not tuning into your audience’s needs! What’s more, it’s just as important to catch possible issues before they turn into big social media crises; with sentiment analysis, you can react agilely and, in turn, safeguard your brand’s reputation.

In this case, social media sentiment analysis is an excellent source of information, as well as an immediate feedback indicator. As sentiment analysis focuses on allowing you to understand what your fans’ reactions mean, it also provides insights that can:

• Determine your marketing strategy
• Improve a campaign’s success
• Improve product messaging
• Improve customer service
• Test business KPIs
• Generate leads

In a nutshell, if done properly, sentiment analysis can improve your overall social media performance.

Manual Sentiment

Our new release includes manual sentiment labeling of Comments, Tweets, Mentions, User Posts, and Direct Messages all across Suite.

Automated Sentiment for English

Users can also use automated sentiment analysis to save time and label even more posts in Suite. It’s now available in English, with Spanish and Portuguese soon on the way! This type of sentiment analysis is also available for Facebook, Twitter, and Instagram profiles.

How does it work?

Automated sentiment analysis first analyzes all of the comments on selected profiles and if English is detected, it applies a sentiment based on our advanced sentiment library. When a sentiment is recognized, the letter A is automatically added next to the comment.

Automated sentiment can be found in the same place as manual sentiment. It should also be noted that sentiment added manually takes priority over automated sentiment analysis – meaning if users change the automatic sentiments in comments, it overrides the automated sentiment. Users can easily change the sentiment manually in the comment detail of a post.

Start your sentiment analysis today in Suite!

Sentiment Analysis Widgets

In order to be able to seamlessly report on sentiment, we have also added two new Dashboard widgets – Sentiment of Comments and Sentiment of Comments & User Posts – which can be used to get an overview of the overall sentiment on your page – as well as create a comparison of the sentiment across different profiles or labels. You can use a Line Chart, Comparison Chart, or a Pie Chart based on your reporting needs. Streamline your reporting today with sentiment analysis widgets!

Find out more about Sentiment Analysis in our Online Education article.

Ability to Have All Stages Optional in Approval Flows

Large brands tend to publish posts that can have various formats or different mutations based on the market they’re created for. In fact, depending on whether the post has text in different languages, or maybe an image, it will most likely have to be sent for approval to different teams.

So, what if the brand’s approval process is more ad hoc – meaning that no team is ever a mandatory part of the approval process? This is why this particular brand might need an approval flow which has the ability to set all stages to ‘optional’ – and select the required stage when creating the post. Thanks to the possibility of stages being optional in Approval Flows, brands that want more flexibility when publishing content can breathe a sigh of relief.

Post Grade for Promoted Posts

Until recently, the performance grades of posts that were detected as promoted were hidden. With this new release, you'll now be able to see, filter, and analyze Facebook posts that were promoted by you and keep a history of the performance grade of the post – as well as the grade of the post when it was promoted.

This feature will help users understand if the post was promoted at the right time, maximizing the engagement of the post.

Socialbakers API Introduces a New Functionality

Along with the updates of the Suite, we’re also working on meeting the growing demand for getting our valuable data through API. After listening to our clients’ valuable feedback, we are happy to introduce a new version (v1.0) of the API, which reflects the strategy we’re moving toward:

Sorting and filtering

• Posts can now be sorted not only by the date of publication, but also by various metrics like Interactions, Impressions, or Video Views. This gives users the flexibility when it comes to analyzing the top posts based on the desired metric.
• When analyzing posts, you can view only posts having a certain parameter. In fact, you can filter them using parameters such as Post Labels, Post Type, the PPD Status, or the Organic/Paid status.
• In the past, sorting through posts from multiple profiles in a single request was slightly more time-consuming. This sorting has now been improved – and analyzing your own or your competitors’ top posts has never been easier.
• As mentioned above, you can filter the posts using Post Labels. What’s more, you can use a new endpoint providing the list of all global post labels of your account.

New Post Level Metrics Added

When our clients demand new additions to the product, we listen!

We have therefore added a variety of new post level metrics:

For Facebook, we have added Organic/Paid Post, PPD status, Video View Time by Country, Age and Gender, Engagement Rate, Consumptions by Type, Consumers by Type, Video Length, Universal Video ID and Video ID.

For YouTube, we have added the Number of Interactions.

Happy reporting!

Aggregated Post Metrics aka Campaign View

Last but not least, we’re introducing a new way to gather post-level data using a specific dimension. Dimensions are common criteria that are used to aggregate data, such as the date when a post was published or post types (text, photo, video).

In fact, dimensions can be used to drill down into content and find out about specific use cases. You can use this approach to answer questions like: How many interactions (impressions, posts, reactions, etc.) does a post with a specific post label have? How many interactions does a particular type of post have? How many interactions were created by organic or paid posts?

All of these updates are described in detail in the Socialbakers API documentation.

Added November 16, 2018