In addition to all that numeric criteria, your tag must be related to your post and your post category, simply because users want to discover related content. The data may be not perfect, but it’s good enough for the first iteration. Those numbers are purely objective: I got them from my friends who are active Instagram users. Let’s say, our lowest boundary for tag popularity will be 100k posts and the highest will be 10m.
INSTAGRAM TAGS UPDATE
Second, your tags must be popular enough in their category there must be people who watch and update them with new posts daily. For example, hashtags such as #travel with 380m posts and #photooftheday with 644m at the moment are simply too popular making it quite hard to compete for the top places In order to choose effective hashtags you have to balance two things.įirst, your tags should not be overused, because otherwise your may easily get lost in millions of other posts.
Ideally we will end up with a set of categories specific enough to fit your particular post, for example, about minimalistic architecture photography in Morocco or skydiving in New Zealand. To solve this problem I will try to separate a dataset of Instagram hashtags from different users by their categories, so we can always have a good selection of hashtags on our hands.
INSTAGRAM TAGS HOW TO
In this article I will show you how to choose hashtags for your posts using machine learning to make it searchable for as many people interested in similar posts as possible. To make your content discoverable you can use features such as hashtags, geolocations, tagging other people and so on. While frustrating at first, this decision encouraged one part of social media that I like most of all: your content can be seen, discovered and rated not only by your friends and followers, but also by many other new people. Over the last couple of years Instagram, Facebook and many other social media have gotten rid of the chronological order in their post feed.
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