Dual Login
Use cases

One browser, every multi-account workflow

From affiliate marketing to agencies — keep every account isolated, believable, and team-ready.

Use cases by workflow

📈

Affiliate & performance marketing

Run separate ad accounts and landing-page tests from clean identities so one ban never cascades across your campaigns.

🛒

Multi-account e-commerce

Operate many seller, buyer, and store accounts on Amazon, eBay, Shopify and Etsy — each sealed with its own fingerprint and IP.

📱

Social media management

Manage dozens of TikTok, Instagram, Facebook and X profiles for clients without triggering linked-account flags.

🎯

Ad account management

Keep Meta, Google, and TikTok ad accounts isolated. Hand a profile to a teammate without sharing passwords.

🔎

Web scraping & research

Drive real browsers via the automation API with rotating residential proxies — far harder to detect than headless bots.

🏢

Agencies & teams

Onboard clients under managers, share only the profiles they need, and keep every account cleanly separated and auditable.

What all of these have in common

The workflows above look unrelated -- an affiliate buying traffic, an agency holding client logins, a researcher collecting public prices, a QA engineer reproducing a bug in six browser states. They are one problem wearing different clothes. Each involves holding several identities that must not be linked to each other, on platforms whose business depends on linking them, using a device that was designed to be recognisable.

The recognisable part is the bit people underestimate. Signing out is not separation: the machine still reports the same GPU, the same font list, the same canvas hash, the same screen geometry and the same network address. A platform does not need your cookie to conclude that two accounts belong together when the device behind them is identical in forty other ways. That is the reason a second browser, a private window or a VPN does not solve this -- they address one layer each, and the linkage is happening across all of them at once.

Three layers, or none

Separation has to hold on storage, on identity and on network at the same time, and the weakest of the three sets your result. Storage is cookies, local storage, IndexedDB and cache, and it is the layer most tools cover -- each Dual Login profile gets its own data directory, so nothing is shared and every login persists independently. Identity is the fingerprint: canvas, WebGL, audio, fonts, screen, platform and the rest, applied in the browser core so they are consistent everywhere the page can look, including in web workers. Network is the proxy, and it is the one people economise on: a flawless fingerprint arriving from an address that fifty other accounts share has already answered the question the other two layers were protecting.

Where the work usually goes wrong

Almost never in the fingerprint. In practice the failures cluster in four places, and all four are avoidable. A mismatch between the proxy country and the browser timezone or language -- the cheapest signal there is, and the most common. Shared IPs, where a cheap datacentre pool links accounts faster than any fingerprint could. Behaviour: twenty accounts created in an hour from one machine, following the same click path at the same intervals, look like one operator regardless of how convincing each identity is on its own. And reuse -- the same phone number, payment instrument or recovery email across accounts, which links them at a layer no browser touches.

Getting from an idea to a working setup

The order that saves time is: proxies first, then one profile, then a week, then scale. Get proxies you trust before anything else, because they set the ceiling on everything downstream. Build a single profile and open the fingerprint checker inside it, looking for contradictions rather than uniqueness. Sign in to something low-stakes and leave it a week -- session survival across restarts and reboots is the thing that actually decides whether a tool is usable, and it is the one thing a five-minute test cannot tell you. Only then bulk-create, which a CSV import handles in one file: name, group, proxy, start URL, country, notes and cookies per row.

Write down what you did

Every workflow above becomes unmanageable at the same point: when nobody can say which profile holds which account, on which proxy, verified by which number. Keep that record from the first profile rather than the hundredth, in the notes field or anywhere else you will actually look.

Start smaller than you plan to finish

Whichever workflow above is yours, the mistake that costs most is building the whole thing before testing any of it. Five profiles run properly for a week teach you more than two hundred created in an afternoon, and they cost nothing to abandon if the approach turns out to be wrong.

What outlives the browser

One caution that applies to every workflow above. Browser isolation stops at the browser, and several identifiers do not: a phone number used to verify two accounts, a payment instrument shared between them, a recovery email that appears on both. Platforms match those as readily as any fingerprint, and no browser reaches them. Map which identifiers each account will carry before you create any of them, because separating accounts that already share one is not something a tool can do retrospectively.

When more than one person is involved

Everything above changes shape once there is a team, and the usual failure is organisational rather than technical: a shared login, one password everyone knows, a contractor who leaves with it and no way to revoke access to a single client’s accounts. Members get their own credentials and explicit capabilities instead -- someone can be allowed to launch profiles without being allowed to export cookies, and a departure is a row you disable rather than a password rotation across the whole workspace. If your use case is on this page and it involves more than two people, that question will matter to you sooner than any fingerprint feature.