🚀 Introducing a new series – Case Breakdown.

Running into an unusual issue with your proxies that you can’t figure out? Message our support team and include «Case Breakdown» in your request.

🔍 We’ll investigate the issue, identify the root cause, and suggest the best solution. The more details you provide (platform, software you’re using, what you’ve already tried, and the results), the faster we can help.

📚 We’ll also share the most interesting cases (with all personal and account details removed) on this channel so the community can learn from them. Your case might help others avoid the same issue.

Submit your case

#AstroCaseBreakdown

🚀 Case study:

Accounts got banned in batches, even though each had its "own" proxy

💬 A media buying team assigned a separate residential IP to each of its 40 profiles. Right type, matching geo, unique addresses. A few days into the campaign, mass bans.

🔍 What we found:

The problem was behavior, not the IP. Every port ran on the same rotation interval, and all profiles were launched at the same time – IPs changed in sync, actions ran from the same script. To an antifraud system, 40 accounts changing IPs at the same moment read as automation, not 40 real people.

⏩ What we did:
▪️ set a separate rotation interval for each port;
▪️ staggered profile launches over time.

💡 Takeaway: a separate IP per account is half the solution. The other half is making sure accounts don't behave identically.

Submit your case

#AstroCaseBreakdown

🚀 Case study:

Right geo, wrong market

💬 A media buyer was checking competitor creatives for a specific country. The IP was from that country, but the results showed a different market.

🔍 What we found:

An IP "just from the country" landed in one region, while the target market sat in another. On top of that, with the residential pool the city changed on every rotation – each check ran from a new location.

⏩ What we did: Set the country → city → ISP chain. The results now match what the local audience sees.

Submit your case

#AstroCaseBreakdown

🚀 Case study:
Requests dropped under load, and the proxy took the blame

💬 A data team was scraping marketplaces: one port ran several parallel data-collection threads. As the number of threads grew, some requests started timing out. Everyone blamed the proxy.

🔍 What we found:

One port holds up to 250 concurrent TCP connections. The automation opened more – the extra ones queued up and dropped. The proxy was fine; the problem was the configuration.

⏩ What we did: Spread the threads across several ports, within the limit. The timeouts were gone.

Submit your case

#AstroCaseBreakdown

🚀 Case study:
A sharp rise in traffic and a suspected counting error

💬 A team lead contacted support: their prepaid traffic package had started running out abnormally quickly. Usage had grown several times over, although their algorithms had not changed. The suspicion was that traffic was being counted incorrectly.

🔍 What we found:

Using the detailed statistics in the client’s dashboard, we checked how traffic was distributed across ports. Usage was concentrated on one specific port. We passed this data to the team lead for review. The cause soon came to light: an employee had been watching TV shows while the proxy was connected.

⏩ What we did:
We reminded the team of a security rule. Unless there is a specific need, the proxy should not be set up system-wide. Instead, it should be set up per app, in an anti-detect browser or other work software.

Submit your case

#AstroCaseBreakdown