Instagram have launches a new feature that allowing all the users to categorize their following!
These are the new “Following Categories”:
- Most often seen accounts
- Least accounts interact with
- Sorting by earliest to latest followed
The machine algorithm of this features takes data from the past 90 days then it create these categories. The platform make calculation of likes, comments, saves and other actions to prepare the categorizes.
The main goal of this feature is to help all users focusing more on the content and ensure the content shown in their feed remains relevant.
In a statement to TechCrunch, an Instagram spokesperson says:
“Instagram is really about bringing you closer to the people and things you care about – but we know that over time, your interests and relationships can evolve and change. We want to make it easier to manage the accounts you follow on Instagram so that they best represent your current connections and interests.”
For example, users may find some of the ‘most shown’ accounts in their feed are also accounts they don’t interact with very often.
Knowing this, users may decide to unfollow some of the ‘most shown’ accounts so they’ll end up seeing more relevant content in their feed.
Instagram is one for the most familiar advertising platform for businesses and advertisers!
In 2018, the platform creates a huge update to the Instagram algorithm and since then, the team and I was trying to understand the approach and how it works by testing and learning
Remember always that Instagram is a business!
Business Model for the Instagram algorithm:
Before you build your Instagram strategy and in order to understand the best way of optimizing your campaigns and your organic reach you MUST learn and have a deep knowledge of the business model of Instagram as a business and learn the approach they used to generate revenue.
Remember that Instagram earns money from users and most of the revenue came for the business accounts where people spend money on advertising The formula is simple:
More Users –> Ads to be seen –> More Money
After understanding the business model and know how the Instagram system works, The understanding of the algorithm of Instagram will be more appealing for us.
Instagram Algorithm for the Instagram algorithm:
You should keep in mind that Instagram is relying 100% on User Generated Content (UGC).
The main Algorithm Factors:
1- User Frequency for the Instagram algorithm:
There are 2 types of users on Instagram and the algorithm organise the process of showing the relevant posts to these users.
Active Users: Users who log on to Instagram every hour or more than 4 to 5 times to the platform are more likely to see most of the content that appears on their feed plus to the advertising posts/Videos & Stories. These kind of users are the engine of the platform.
Semi-Active Users: The algorithm change with users who are logs on once a day so it works to provide these users only the most and high relevant posts to them. The reason behind this is to increase the possibility of for them to be active users rather than semi-active users.
2- Session Duration for the Instagram algorithm:
All fall into the Instagram algorithm, as we know that users who stay longer on the platform are the revenue generator for Instagram and the testing ground while users who stay for a short time have a much-focussed staff on their feed. (The important and relevant staff to show first)
3- Following Size for the Instagram algorithm:
The more profiles an account follows the more content Instagram has to sort and prioritise. This means that if you publish multiple posts a day, the competition will probably be too high for them all to appear on that user’s feed.
4- User Timelines for the Instagram algorithm:
Understanding the normal and interaction of the user with their feed, like how normally liking, commenting or saving the friend’s/company’s posts and videos. After that segmenting the users into very complex groups in terms of this organic behaviour. It’s all related to the machine learning of Instagram Algorithm
5- User Interests for the Instagram algorithm :
The machine learning of Instagram studies the behaviour of the user on how the user reacts to the ads in general. After that segmenting the users into very complex groups in terms of these behaviours. One user can be in more than 1 group. Depending on this information the user will start seeing the ads that most relevant to the behaviour and the data history of that user.
6- User Relationship for the Instagram algorithm:
Basically is how is the relationship between one account to other accounts (Private or Public)
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