Now in Unmetric: Detect and learn from social media outliers effortlessly
July 16, 2019 • 3 min read
Updated on September 17, 2019
Social media is dynamic. Brands are always trying to one-up each other with the next viral Post and in order to create similar, compelling content, you need to study them further. With competitive content intelligence being the need of the hour, we put our heads together to come up with the outlier detection feature.
Instead of manually going through competitors’ Posts to figure out their most engaging content, you can now use Unmetric’s outlier detection functionality. With it, you can easily detect content that stands out and rises above the social media noise.
Outlier detection gives you an idea about the kind of Posts that work in your industry. You can derive creative inspiration from outliers and figure out how you can use similar Posts to improve your social ROI.
I’ve detected an outlier. Now what?
Unmetric pointed out this Post by Innocent Drinks as an outlier, a retweets surge. It received over 5K retweets, when in fact, 90% of its Tweets over the last 12 weeks had less than 226 retweets.
Instagram is down. The influencers panic. Their power is waning. Smashed avocado on sourdough doesn’t seem so appetising in this cruel, filterless world. They cling to their hair vitamins, screaming ‘hashtag blessed’. Even detox tea can’t save them now. #instagramdown
— innocent drinks (@innocent) July 3, 2019
Why is a smoothie and juice company talking about Instagram being down? It’s commentary! And when it’s funny commentary at that, the retweets come surging in.
Unmetric also pointed out this Tweet from Morphe Brushes as an outlier, a replies surge. It received about 1.3K replies, when 90% of its Tweets over the last 12 weeks received less than 99 replies.
The signs as Morphe Palettes. Which one’s yours? ✨
— Morphe (@MorpheBrushes) July 3, 2019
Being comment bait, it’s no wonder this Tweet received the number of replies it did.
Outliers in Unmetric
View the Posts and Tweets that stood out based on certain factors such as the number of likes, comments, shares, and more. With Unmetric, you can detect:
- Post/Tweet storm: A brand publishes multiple Posts or Tweets in a week.
- Post/Tweet surprise: A brand publishes a Post or Tweet after 4 weeks.
- Likes surge: A brand’s Post receives a massive increase in Likes compared to most of the Posts/Tweets published by the brand in the last 12 weeks.
- Comments surge: A brand’s Post receives a massive increase in comments compared to most of the Posts/Tweets published by the brand in the last 12 weeks.
- Shares surge: A brand’s Post receives a massive increase in Shares compared to most of the Posts published by the brand in the last 12 weeks.
- Retweets surge: A brand’s Post receives a massive increase in Retweets compared to most of the Tweets published by the brand in the last 12 weeks.
- Comments : Likes: A Post receives a disproportionate number of comments when compared to Likes.
- Shares : Comments: A Post receives a disproportionate number of Shares when compared to comments.
- Shares : Likes: A Post receives a disproportionate number of Shares when compared to likes.
- Retweets : Likes: A Post receives a disproportionate number of Retweets when compared to likes.
- Retweets : Replies: A Post receives a disproportionate number of Retweets when compared to replies.
- Replies : Likes: A Post receives a disproportionate number of replies when compared to Likes.
This way, you can quickly identify a surge in publishing frequency, replies, and several other outliers effortlessly using Unmetric.
Sign up for a demo and we’ll walk you through these features and the platform immediately. Already use Unmetric Analyze? You should be able to view these changes right away!Get a demo today