On January 19, Break.com crossed a million fans. Two years ago, they only had 193,000 fans. What is behind this nearly five-fold increase? How have they adapted to the many Facebook algorithmic changes? How does paid media most effectively counter decreases in organic newsfeed reach?
We know that engagement is more important than just raw fan count. Break.com has been averaging 97,000 for their daily PTAT (People Talking About This), also known as storytellers. They hit 1.8 million active users when they reached a million fans.
This is a 612% increase if we look at daily storytellers (people who like, share, comment, or check-in). What was behind this increase?
IS THE CULPRIT ADS?
A lot of folks pay to play for engagement.Break.com ran only half a million paid impressions in January. There was no correlation between engagement rate and paid efforts since the impressions represented only 0.28% of total impressions.
If it wasn’t ads, then it must be organic engagement.
THE ENGAGEMENT FUNNEL BROKEN DOWN
We know that there is a direct linkage between fans and storytellers, the model works like this: Fans x News Feed Reach x Engagement Rate x Percent of Storytellers x stories per storyteller = stories.
The spike in PTAT was on the 19th, evidence by the green bars in the diagram above for News Feed reach. Of course, an active user base is predicated by a higher newsfeed reach often because of additional reach driven by actions that fans take.
In other words, Facebook allocates every page an initial amount of newsfeed exposure when the page first posts, but then, as fans interact if the engagement rate is high enough, the additional reach can be an order of magnitude more than the initial reach.
For the data geeks out there we simply downloaded the page and post level .CSV insights files. Then we calculated each of these ratios above and put conditional formatting on the cells to visually draw out trends. Send me an email if you are interested in getting a copy of the Excel workbook.
Facebook has been reporting this additional reach (viral) as part of your organic reach in the web-based insights. However, they do separate viral reach in the .CSV download and the API.
Let’s take a look.
We overlaid viral reach against daily storytellers and find they match nearly perfectly. In fact, the correlation is 0.98. Our data scientist friends know that 1.0 is a perfect data correlation.
Here are the raw numbers. At their peak, Break.com had a whopping viral reach of over 14.6 million. On that day, they drove almost 697K stories via 598K people. So, the average storyteller told 1.17 stories on that day.
A SURPRISING DISCOVERY
We plotted stories per storyteller against viral reach and found a -0.66 correlation. In other words, the fewer stories per storyteller, the greater the viral reach.
This seems highly counter-intuitive, but what is really going on is that when content spreads beyond the core fan base, we are activating less passionate, more infrequent fans. And it’s the weighted average of these fair weather fans that pulls down stories per storyteller.
BUT HOW ABOUT CONTENT EFFECTIVENESS?
The median average of their News Feed reach is 1.39 times their fan base. But on their million fan celebration day, they hit 14.9, which is 11 times higher.
Was it an amazing piece of content or perhaps an increase in post frequency?
Below we plotted posts per day against viral reach. There is a clear relationship between these two factors evidenced by a correlation of 0.38.
We know that since January of this year brands especially in media and entertainment have had to increase their post frequency to replace News Feed reach. News stations often post 30-40 times per day with no increase in negative feedback or News Feed burnout.
We see that is the case here as well. They are averaging 46 negative feedbacks per day on 770K daily consumptions. That rounds to zero.
Only one of the top posts from January 19th were in their top 20 posts from the month. It goes to show that media companies cannot be as reliant on home runs, as opposed to a steady stream of singles and doubles. It is just too hard to predict if you are going to have a winner.
Break.com created a video to celebrate hitting the million fan milestone. You should watch it!
It drove 72K likes and 48K shares. It had a viral reach of 8.1 million with zero paid impressions.
Net-net, Break.com is showing that viral power is still possible without heavy ad spend, if your content is good enough. But of course, not everyone has a Chris Strickland!
Break is part of the DEFY Media network that was formed when Break Media and Alloy Digital merged in November 2013. DEFY reaches 125MM unique monthly viewers across owned and operated YouTube channels.
Source: Inside Facebook
How Break.com broke the one million fan barrier