Unmetric Presents Promoted Post Detection
May 5, 2015 • 2 min read
Updated on May 2, 2017
Our newest feature will tell you which Facebook Posts have been promoted.
In a world where the social landscape primarily consisted of organic posts, agencies and marketers worked hard on creating content that gained reach. Then Facebook introduced the option of promoting your posts and everything changed.
Today, most brands allocate a budget for social spend. And we’d all be kidding ourselves if we didn’t give some of our Brand’s Posts a boost every now and then. But like most marketers, we’re concerned with benchmarking.
So how are we supposed to figure out if our competitor’s campaign is performing well because they’ve made mind-blowingly good content that’s gone viral or if there’s some green enhancing their performance?
Unmetric’s new Paid Post Detection feature will tell you. By following the money trail, we’ll give you a breakdown of a brand’s paid efforts versus their organic efforts.
This gives you the power to observe and compare the volume of engagement and audience interactions from post to post.
Then compare the level of engagement on your Paid Posts to your competitors.
Finally go all out and compare your Share of Voice to theirs. See what they’re doing that you aren’t and improve your content accordingly.
We analyzed Posts from multiple industries and Brand Pages of sizes ranging from thousands to millions of Fans. With exploratory research, we identified patterns in Likes, Comments, Shares and Fan Count over time that differentiated Paid Posts from Organic Posts. We look for similar patterns in velocity of engagement to predict whether a Post is Paid or Organic.
With a robust sample dataset of Facebook Posts, our proprietary machine learning algorithm has an overall prediction accuracy of a whopping 96%. In just 96 hours, we can sort the Paid Posts from the Organic Posts and will deliver the results in the form of a detailed report.
Want to learn more? Get in touch with us at email@example.com
To see Paid Post Detection in action…