Quantcast
Channel: Ben Simon | Mobilisation Lab
Viewing all articles
Browse latest Browse all 8

5 things we learned by analysing lots and lots (and lots) of Facebook data

$
0
0

Last year, our friends at Crowdtangle offered to let MobLab dig through some of their aggregate data about the performance of individual posts on public pages to see if we could find anything interesting.

Data analysis via NASA

Historical photo from the MobLab data analysis center.

We jumped at the chance, looking through every post in the month of April from 572 different pages — 107,657 total posts — with an eye toward any interesting trends or takeaways we could find.

When we want to find patterns and lessons in that much data we like to pull it all into a big bucket and dump it into a statistical analysis package (R is our tool of choice here and the source of the charts below).

What we found supports many of the guidelines (or, rather, non-guidelines) that one often hears about Facebook posts and social media in general. Some of this isn’t new but, as people who work with digital campaigns daily, we found it valuable. Here it is:

1) Should we post more? Less? Data says…

There is no correlation between post frequency and engagement. Zero. None. Anyone who tells you definitively that you should post X times per day, or per week, should probably be ignored. “Posting X times per day/week has worked best for us,” is about as far as you should go.

Post frequency and engagement rate

We found no correlation between post frequency and engagement rate in the data reviewed.

2) No, it’s not that your issue is boring.

We grouped organisations by issue focus. Labor rights groups generally had higher engagement rates. This could be due to a more membership-driven fan base – with more emphasis on organising – but the data doesn’t point to a clear reason.

Issue focus and engagement rate

We also didn’t find clear correlation between issue focus and engagement rate.

3) Size doesn’t matter (for engagement).

We did NOT see a relationship between likes and engagement rate. High engagement pages had large and small fan bases. So did low engagement pages.

Likes and engagement

There is no correlation between total likes and fan engagement.

4) Weekends work (even if you’re not working).

At least in this dataset, it looks like post frequency drops off over the weekend but post performance improves over the weekend.

Posts and day of week

Post frequency drops over the weekend (when you’re not working) but engagement rises.

5) Did you just post? Go relax for a few hours before posting again.

It looks like you should wait at least 1-3 hours between posts, at least measured by likes.

1-3 hours between posts

A one to three hour window between posts seems to support engagement.

Fortunately, many allies and partners are also analysing large social media data sets. Some are sharing it in ways helpful to Greenpeace and others. Actionsprout recently created sets of Facebook engagement scorecards to help identify and visualize page performance. An environmental sector scorecard (primarily U.S. organisations) may be helpful.

What do you think? Anything in here you disagree with, or have seen data disproving? Or anything you’ve observed and want to add? Tell us in the comments!

Thank you Crowdtangle for sharing data used in this analysis. 

The post 5 things we learned by analysing lots and lots (and lots) of Facebook data appeared first on Mobilisation Lab.


Viewing all articles
Browse latest Browse all 8

Latest Images

Trending Articles





Latest Images