Photos draw greater rates of engagement than any other type content posted in Facebook, according to a recent study conducted by Web Liquid.
The statistics are interesting in that they confirm what most marketers have known for a while — more dynamic content leads to greater levels of engagement. However, it’s not safe to assume these statistics can be applied to all pages.
The digital marketing agency reported the following engagement rates for the four types of content most commonly posted in Facebook pages:
These numbers represent a general reaction to content, but they’re sure to differ from page to page. The only way for an organization to measure the engagement levels of content by type is to actually go out and measure it.
Here are five simples steps to replicating the Web Liquid study with data of your own:
The online data Facebook displays is great, but the good stuff is in the download. Export three months worth of data from the Facebook Insights tab. Be sure to specify “Post-Level Data.”
Once the Excel file is downloaded, work within the second tab across the bottom, “Lifetime Talking About This.” This is the tab that lists each post, the date it was published and the number of times it was liked, commented on, or shared.
The online Insights interface is great because it places an icon next to line of post data to define the content type — status update, photo, video and link. Unfortunately, the downloaded data doesn’t differentiate so an additional column needs to be added.
Simply insert a column after the Message and title it ‘Content Type.’ Code each line accordingly as one of Facebook’s four types of content. This is the most labor-intensive part of the process but even it doesn’t take much time.
The “Lifetime Talking About This” tab doesn’t include the total number of impressions so that information has to be copied from the Key Metrics tab and pasted into your working document. Feel free to paste over the ‘shares’ column since that doesn’t figure into the Web Liquid equation. Just make sure the impressions line up with the correct message.
Once the messages are sorted by content type it’s easy to add those selected cells to provide a sum of likes, comments and impressions for each type. It might help to break them into four separate groups just to keep the numbers straight per content type.
It’s easy to calculate engagement the same way it was done in the study. Add together the likes, comments, and shares and divide by the number of impressions. The final figure roughly displays the percentage of people who took action — or were engaged — because of a post.
The study isn’t perfect but for those unsure of what content is working for them, it’s a great first step to understanding.
So how do these figures align with what you’re finding?