An account warm-up scenario is a pre-written sequence of daily actions on a device: how many minutes to scroll the feed, how many likes and follows to make, when to send the first DM, and after how many days to publish the first post. This kind of scenario mimics the behavior of a real person and reduces the risk of a shadow ban during the account's first weeks.
Keeping such a plan on one phone manually isn't hard. The problem starts when you have fifty accounts, each on its own warm-up day, with its own proxy and its own funnel phase. One account is on day three, another is already ready for the first upload, and a third just came out of a ban and needs to be warmed up again from scratch. Without a unified scenario, this turns into chaos at scale: accounts get mixed up, some sit without any activity for a week, others get hit with a limit because they were pushed through all the steps in a single day.
What a Working Warm-up Scenario Consists Of
A good warm-up scenario is always built around phases, not specific action numbers. The numbers vary depending on the niche and geo, but the phase logic doesn't.
- Days 1-3: only browsing the feed, stories, and recommendations. No follows or likes - the account simply "lives".
- Days 4-7: first likes and follows on profiles within your niche, short full watches of videos.
- Days 8-10: comments, saves, first DMs, filling out the profile and avatar.
- Days 11-14: the first post or Reel, with gradually increasing activity around it.
- After day 14: transition to normal working mode with regular posting on your own schedule.
A detailed breakdown of daily steps is available in the article on warming up Instagram from scratch over 14 days, and if an account has already been restricted, the warm-up scheme changes - this is covered in detail in the article why Instagram accounts get banned and how to recover them.
Why One Scenario Doesn't Work for All Accounts
A common mistake in mass SMM is taking a single warm-up template and running the entire farm through it simultaneously. The platform sees the same behavioral pattern across dozens of devices and starts banning them in batches, cascading, taking each other down together. A scenario must randomize the timeline: variation in login times, different numbers of actions, different intervals between sessions. Otherwise, it's not warm-up - it's a direct signal to the anti-fraud system that one operator is behind all these accounts.
Automating actions violates platform terms of use. Only use scenarios on your own accounts, keep a time buffer for manual review, and remember: no one, including any software, can guarantee protection against bans.
Warm-up and Mobile Proxies - a Combination That Solves Half the Problems
A warm-up scenario is useless if all accounts sit behind the same IP or a cheap datacenter proxy. The platform can easily link such profiles into one network based on the network fingerprint, and in that case even a perfect behavioral scenario won't help. Every device needs its own mobile or residential proxy with session-based rotation - this is the baseline, without which any warm-up loses its purpose.
| Proxy Type | Risk of Account Linking | Suitable for Warm-up |
|---|---|---|
| Datacenter | High | No |
| Static Residential | Medium | Partially |
| Mobile with Session Rotation | Low | Yes |
Warm-up Funnel Before Mass Upload
Warm-up isn't an end in itself - it's preparation for the next step: mass auto-posting of Reels, Shorts, or TikTok videos. Until an account has gone through all the phases, loading it with content in batches is risky - the algorithm doesn't yet trust the profile and cuts reach. Once the warm-up funnel is complete, you can move on to setting up uploads at scale - how to do this without getting banned is covered in the article on mass uploading Reels from a phone farm.
Common Mistakes in Warm-up Scenarios
- Too sharp a jump in activity - 5 likes yesterday, 200 today.
- The same session start time across all devices in the farm.
- Publishing the first post earlier than day 7-10 of warm-up.
- No pauses or days off - real people don't use the app the same way every single day.
- Ignoring the need to change phase after unblocking - an account that's been banned needs to be warmed up again, not thrown straight back into posting.
Each of these mistakes on its own rarely kills an account, but together they create the pattern that lets anti-fraud systems tell a farm apart from a real audience.
When Paper Scenarios Stop Working
With 5-10 accounts, you can keep a warm-up plan in notes and a spreadsheet. With 30-50 devices, this already requires proper control: who's on which day, who's completed a phase, who needs a new proxy, who's waiting for their first publication. This is exactly where manual management breaks down - there simply aren't enough hands to keep track of every phone, and any missed phase turns into a new ban. Lusiesta takes this routine off your hands: warm-up scenarios run on a schedule across all devices on the farm simultaneously, with time variation and a different set of actions on each one, while proxies and app clones are set up once and don't require manual monitoring at every step after that. This isn't about a bot that guarantees no bans - it's about scaling your farm without chaos and not losing accounts to plain oversight.
