Why I Stopped Using Gologin After 3 Months

When I first started building an automation stack for affiliate marketing, Gologin looked like a perfect choice. Affordable, easy to set up, and promising fast scaling. I ran my stack on Gologin for 3 months — and learned a lot the hard way. Here’s why I stopped using Gologin — and what I chose instead to protect my scaling operation.

Month 1: Getting Started with Gologin

Setup was fast. I imported proxies, built browser profiles, and connected my automation scripts using their API. For the first 2 weeks, things worked fine. But as I scaled up — moving from 10 to 50 browser profiles — small cracks started to appear:

• Profiles became noticeably slower to launch.
• Some profiles failed to launch altogether — I had to restart Gologin several times a day.
• Fingerprint consistency across sessions wasn’t perfect — causing minor issues on some platforms.

I was willing to live with these issues at first — I liked Gologin’s UI, and support seemed responsive.

Month 2: Scaling Problems & Automation Friction

By the second month, I had scaled to 100+ profiles, running multiple flows:

• Affiliate campaign management
• Trial farming
• Multi-account eCommerce testing

Here’s where serious problems began:

• Automation integrations became unstable — my Playwright/Puppeteer scripts often broke due to profile loading issues.
• Resource usage on my server shot up — Gologin wasn’t as lightweight as advertised.
• Session crashes became frequent during high-load testing.
• Syncing profiles between team members was inconsistent.

Support was helpful — but couldn’t fully resolve these core limitations.

Month 3: Switching to Multilogin

At this point, I had spent ~80 hours debugging automation issues caused by Gologin’s instability under load. I talked to several agency friends — most had already switched to Multilogin for scaling.

Here’s what I noticed after switching:

• Profiles loaded faster — even at 200+ scale.
• Automation scripts ran stably — no random crashes.
• Fingerprint consistency across sessions improved significantly.
• Team sync was reliable — essential for distributed automation.
• Resource usage was much better optimized.

The transition wasn’t hard — I rebuilt my profile templates in Multilogin and re-integrated my automation scripts. Within a week, my entire stack was running smoother than ever.

Resources To Help You Scale Safely with Multilogin

• Multilogin Free Usage Guide (Vietnamese)
• Multilogin Full Review 2025
• Claim 50% Discount with Coupon Code: ADBNEW50

Final Thoughts

Gologin worked fine for small-scale testing. But when it came to serious scaling — running high-volume automation flows — it wasn’t stable or optimized enough for my needs.

Since switching to Multilogin, I’ve been able to scale safely, with fewer crashes and better fingerprint stability — saving time and protecting revenue.

If you’re scaling serious browser-based automation or multi-account flows in 2025, I strongly recommend testing Multilogin early — it’s now a core part of my stack.