Today we use Instagram to express ourselves through images. With over 800 million users we can say that this platform has the audience to build your brand. Having a voice on this platform can open up many doors for you (as an individual) or as a brand. ‘Pictures tell more than a thousand words’. That is why Instagram is such a strong platform, just a glance at a picture and you understand the context of the message delivered. This is why many influencers are also using this platform to reach out to their community. However, with the number of users, it has become increasingly hard to differentiate yourself. Even when you are successfully differentiating yourself from the rest, how do you actually show your work to those 800 million users? There are simple hacks you might have read about before on this Mashable article. Simple hacks like engagement groups and powerlikes. With the introduction of the algorithm on Instagram, the game has changed.

What is Facebook’s EdgeRank and where is it used for? With the introduction of Facebook’s Edgerank algorithm in 2009, a lot has changed in terms of organic content (video or images that are being shown without being paid to promote). This algorithm is implemented into Facebook’s newsfeed. Since this introduction of EdgeRank a lot has changed to the algorithm. With the behavior changes from the users, we have noticed that video content is usually being favored over plain text or still images. This has caused a shift in the algorithm (as of the latest 2018 algorithm changes). The EdgeRank is looking at several aspects before it decides to show you to a group of people. It uses three factors to decide whether your content has real value for the audience. Tip: To truly gain traction with video, try using 1:1 format, this will take most of the space in a newsfeed when scrolling through it with a mobile device.

Key factors for the Facebook algorithm As mentioned previously there are several factors that Facebook considers before showing it to the audience. Facebook mainly looks at three factors which are: Affinity: the interaction that you have with your audience. It basically looks at past interactions like whether they clicked on your links, liked or commented on your posts. It is important to note that the news feed algorithm has been updated with Last Actor. This element takes a look at your last 50 interactions that you had on Facebook. Weight: What priority will EdgeRank give to your post is based on the type of your post. There is a certain hierarchy since a certain type of content generates more traction. Photos and video have the top priority followed by links and in the bottom of everyone a plain text status update. Time decay: Simply said, how old is your post? The longer it’s been circulating within the platform the less likely it will show to its users (again). However, for users who drop in once or twice a week, it will still be shown. People who check in more than the aforementioned example will less likely see your post. Now, why is it important to understand Facebook’s EdgeRank when you are using Instagram? Given the success of this algorithm and Instagram is owned by Facebook, it is expected a similar algorithm is being used on the platform. When using both platforms and with the information I’ve got, I noticed that there were several similarities. For example: When I liked a themed picture or a picture on the explore page (on Instagram), it would continue to show me either similar pictures or pictures from the same account. However, when you already followed the person and you engaged and liked the content from the page, it would put new content from that page on top of your newsfeed.

Key factors for the Instagram algorithm (confirmed!) Instagram has confirmed a few key factors in determining how posts are being shown to followers. To a small select of journalists, it explained how the algorithm works and busted the rumors surrounding the algorithm. There are three main factors: Interest: How much you are interested in the post is determined on past behavior and potentially machine visual analyzing content and post. If the interest is high for a certain niche the higher it is going to be ranked in your feed.

How much you are interested in the post is determined on past behavior and potentially machine visual analyzing content and post. If the interest is high for a certain niche the higher it is going to be ranked in your feed. Recency: How recent was the image or video posted. It will prioritize those who are more recent on top versus the old ones.

How recent was the image or video posted. It will prioritize those who are more recent on top versus the old ones. Relationship: Relationship has been more important than ever. This factor looks at past and current interactions with the person. Interaction includes commenting on their post and being tagged in their photos. Besides these three main factors there are three additionals who influence the algorithm in a less big way than the one mentioned earlier: Frequency: How often does the user open his or her app as it is focusing on showing you the best post since your last visit.

How often does the user open his or her app as it is focusing on showing you the best post since your last visit. Following: This is based on the numbers of people that a user is following. The bigger the number the wider the breadth of authors there are. This means you might see less of a specific person. So if you want to stay up to date on one specific person you might want to turn on the post notifications 😉

This is based on the numbers of people that a user is following. The bigger the number the wider the breadth of authors there are. This means you might see less of a specific person. So if you want to stay up to date on one specific person you might want to turn on the post notifications 😉 Usage: This part looks at the behavior, how long does a user spend browsing so it determines which post should be the best to show.