![]() LimitsIt is not easy to tell what numbers are safe but the general consensus is if your account isn’t fresh (at least 2 months old), has a good previous standing with Instagram and was not action blocked in the past few weeks then the safe limits are around 250 likes / day, 80 follows / day, 80 comments / day. The only solution to the problem is to change your hashtags or to stop using them altogether for a while and wait. You can do the same if you have a second or backup account. To test if you’re shadow-banned, publish a post with at least one low-volume (rare) hashtag and ask your friend to unfollow you and try to locate that post under that hashtag. ![]() This nullifies your account discoverability from hashtags. If your account is shadowbanned then people that do not follow you will stop seeing your posts appearing under hashtag search. ![]() Banned hashtags do not have Recent Posts shown. You can check if a hashtag is banned by navigating to the hashtag page and looking for the Recent Posts section. Your account is shadowbanned if you’re using the same hashtags over and over again or use banned hashtags such as #alone. Waiting out and reducing the number of actions you’re making on your account is the only solution for this type of block. Account wide block means you won’t be able to like, follow, leave comments or send DMs (depending on the nature of the block) for a certain period of time from any session for that account. If your sessions are getting action blocked repeatedly your entire account is under risk of receiving an action blocked. Reducing the number of likes / comments / follows / DMs you do on a daily basis after the session action block is paramount to avoid new action blocks. If your Desktop Session gets blocked then the session is lost and you will have to logout from Instagram, log back in and wait for 24-48 hours. If your Mobile Session gets blocked then the only solution is to wait for an unblock which typically happens in 24-48 hours. This is very common and happens if you like too many posts, leave a lot of comments (especially repetitive and spammy), send an excessive volume of DMs or follow / unfollow too many accounts in a single day. The limit of account checks varies and is around 300 a day for a single session and twice as much for IP addresses. If you navigate to too many account pages in a short period of time, Instagram will ban you from doing so for the next 12 hours and will be showing a “Try again later” message as you navigate to Instagram profiles. That is why publicly available proxies rarely work on Instagram and sharing the same IP for more than 5 accounts is usually a bad idea. IPs are flagged if there are multiple sessions on the same IP that exercise suspicious behaviour. The simplest solution is to avoid engaging with your account from multiple devices, change your password and revoke your account access from the 3rd party systems under Instagram Account Settings on your mobile device. This is increasingly common lately and happens if you engage with your account from multiple devices at the same time. This is very rare but may happen if your account gets reported for violating Instagram Terms of Services by others (such as posting prohibited content) while simultaneously trying to game the system by running bots or selling likes as a service. Here is a list of bad things that may happen to your account if Instagram's Machine Learning believes your account is acting spammy: But a lot can be done to stay as safe as possible? What may happen to an Instagram account? There are simply no guarantees to not being blocked. You can get action blocked or worse for liking a lot of posts manually, or engaging with your account from multiple devices in a short period of time, or even get unlucky by switching over to a flagged IP address etc. Naturally, as these systems are getting better over time they do make many mistakes and false positives are very common. Machine Learning is a wide range of techniques in computer science that facilitate the system’s learning over time and getting better at delivering results, in this case spotting spammy user behaviour. The social network site has claimed before to rely on machine learning to identify bot and spam accounts. ![]() All specifics of those systems are not known to the public but some can still be deduced. There are measures and internal systems in place that track individual account behaviour and exercise certain restrictions if account is believed to be unauthentic or is trying to game the platform to grow vanity metrics. To keep users active and retained and make revenue from running ads, Instagram is keen on making sure the engagement on the platform stays organic.
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