This Simple Trick Resulted In 800% Higher Traffic From Facebook

We have worked with many influencers for some of our content websites. The best part of running this operation between ’11 and ’16, in addition to generating revenue, was gaining extraordinary insights and knowledge.

It was a collaboration with over 200 marketers each running individual experiments in identifying the best of the best ways to leverage Facebook’s newsfeed. During the few years that we ran these websites, we collectively identified many ways to increase newsfeed visibility, but here’s my favorite one because this was the easiest to execute and had the highest reward.

We identified that Facebook distributes new domains on it’s platform with a much higher weight than domains with history. As the new domains receive some feedback in the next few days, their distribution is also limited. But there was no easy way to launch a new website everyday, with all sorts of advertising approved, and unique content in place. So as a quick fix, we resorted to using new domains but only as redirectors. This wasn’t a great solution to this problem, and obviously came with some caveats. So we looked further and eventually identified the perfect recipe to leverage this.

On running another experiment, we identified that sub-domains are also considered as fresh domains with no history as far as the Facebook’s algorithm is concerned. At the same time, subdomains do no require fresh approvals from the ad networks and exchanges. We also do not have to use redirectors, and Facebook referral headers stay intact.

Using this simple trick, we were able to boost our traffic by up-to 800% and were able to provide an environment that the influencers preferred due to extra-ordinary results and revenue-share.

Analyzing Social Networks Between The Lines

I have a strange habit of trying to find patterns. I do this especially on social media. And I do it mostly to find something interesting. For example I often do it to understand social networks better. To understand how the algorithms possibly work. Or to understand what human behaviors could be at display.

Yesterday I published a status on my personal Facebook account.

There were a total of 56 reactions breaking down as 36 ‘Likes’ and 20 ‘Loves’. This roughly means 64% people liked the status and 36% people loved it.

However, the first 10 reactions were only ‘love’

And, the last 10 reactions were only ‘like’

And so my hypothesis is that this didn’t happen by accident. I believe my status was rolled out to my friends’ newsfeed in this order such that the people who would love react saw it first, followed by others.

My other hypothesis is about human behavior. And that is that as long as the status only had ‘love’ reacts, others wanted to also love react to it. As that was the only reaction they saw at the post. And when someone changed the pattern, others didn’t care about the love react anymore.

In the end, they are what I said they are; hypotheses and I would need to run down a large amount of data to come to a conclusion.

Please share your feedback in comments. Have a great weekend.