Beginners in arbitration often allocate a budget only for advertising and then wonder why accounts get banned and expenses increase two to three times. In reality, launching 10 working profiles is a separate expense that needs to be calculated in advance. In this article, we will analyze a real estimate: how much an anti-detect browser, proxies, and a minimal test budget cost to ensure that 10 profiles can operate at least one cycle without bans.
Who needs 10 profiles and why to calculate the estimate
Ten profiles are a standard start for an arbitrator testing a new niche or combination in Facebook Ads, TikTok Ads, or Google Ads. This number is sufficient to run several creatives and landing pages in parallel but not so many that the infrastructure budget exceeds the budget for traffic itself. SMM agencies launch a similar number of profiles when servicing 10 clients on Instagram and TikTok, managing them from different devices.
The problem is that beginners only consider the cost of advertising and forget about the infrastructure: anti-detect browser, proxies, and sometimes SIM cards for verification. As a result, at the testing stage of the combination, the budget unexpectedly increases by 30-50%, and there is no money left for scaling. Calculating the estimate in advance solves this problem: you know exactly how much to allocate for preparation before launching the first dollar in advertising.
Below, we will analyze three expense items in order: anti-detect browser, proxies, and the minimum test budget for traffic. At the end, we will compile everything into a single table so you can copy it and insert your own figures.
Estimate for the anti-detect browser
An anti-detect browser creates a unique digital fingerprint for each profile: its own User-Agent, screen resolution, fonts, time zone, WebGL, and Canvas parameters. Without this, all 10 profiles will appear to the platform as the same browser, which almost guarantees a chain ban — blocking the entire chain of accounts at once.
There are several popular solutions on the market: Dolphin Anty, AdsPower, Multilogin, GoLogin, Incogniton, Octo Browser. Most of them offer a free plan for 5-10 profiles, which meets the initial needs without costs. However, free plans usually have limited features for team synchronization, action automation, and cloud fingerprint storage — if you plan to work with others, a paid plan will be needed almost immediately.
| Browser | Free plan limit | Feature |
|---|---|---|
| Dolphin Anty | up to 10 profiles | convenient autofill, local storage |
| AdsPower | up to 5 profiles | built-in no-code automation builder |
| GoLogin | up to 3 profiles | cloud storage of fingerprints |
| Octo Browser | trial period | accurate imitation of mobile fingerprints |
For 10 profiles, the free plan of Dolphin Anty can meet the needs. If you plan to scale to 30-50 profiles within the first month, it is wiser to choose a browser with a flexible plan for the number of profiles right away — moving between browsers with already warmed-up fingerprints is inconvenient and risky.
Estimate for proxies for 10 profiles
Proxies are the second and most underestimated expense. The rule is simple: one profile — one static IP that does not overlap with the IPs of your other profiles. If 10 profiles access through the same IP or through IPs from the same data center subnet, the platform will link them together, and one ban will pull the entire chain down.
For Facebook Ads and TikTok Ads, residential proxies are most commonly used — these are real IPs of home users that the platforms see as regular people, not as data centers. For mobile applications and SMS verification, mobile proxies work well, as they are tied to the IPs of mobile operators and almost never fall under anti-fraud filters. For less sensitive tasks — such as scraping competitor prices or warming up non-advertising profiles — you can use more budget-friendly data center proxies.
| Proxy Type | Suitable for | Ban Risk |
|---|---|---|
| Residential | Facebook Ads, TikTok Ads, Instagram | low |
| Mobile | number verification, mobile applications | minimal |
| Data Center | scraping, warming up without advertising | medium-high on advertising platforms |
For 10 profiles in Facebook Ads, it is reasonable to allocate 10 separate static residential IPs — one for each profile, without rotation throughout the account's lifetime. Rotation within a single profile is another common way to get banned: the platform sees that the account is "jumping" between cities within minutes and marks it as suspicious.
Test budget for traffic
After the anti-detect browser is set up and proxies are assigned to the profiles, the budget for traffic remains. Here, the logic is simple: for each profile, you need to allocate enough for at least 2-3 days of stable ad display so that the platform's algorithm has time to learn and exit the learning phase. Abruptly stopping a campaign on the second day almost always yields distorted data and makes the test meaningless.
For Facebook Ads, the minimum daily budget for a campaign optimized for conversion usually ranges from $5 to $15 per ad, with a different budget allocated for the 10 profiles — some profiles are used for "scouting" with a minimal budget, while the budget for the 2-3 best profiles is increased after the first day. For TikTok Ads, starting budgets are slightly higher due to the platform's requirements for a minimum daily limit on the ad group.
An additional line item is the warming up of profiles before launching ads. An account that launches an ad immediately after registration gets banned much more often than an account that behaves like a real user for 3-5 days: logging in, scrolling the feed, liking, and adding friends. Warming up does not require direct costs, except for time, but saves the advertising budget by reducing the ban rate.
Final estimate for the first month
Below is an averaged expense structure for launching 10 profiles in the first month of operation. Specific amounts depend on the niche, geo, and platform, but the proportions between expense items remain similar for most arbitrators.
| Expense Item | Share of Budget | Comment |
|---|---|---|
| Anti-detect browser | 0-10% | often covered by a free plan at the start |
| Proxies for 10 profiles | 10-20% | residential IPs + mobile for verification |
| SIM cards and email for registration | 5-10% | one-time expenses for account preparation |
| Test budget for traffic | 60-75% | main part of the budget, distributed across 10 profiles |
Note that proxies and infrastructure together account for 15-30% of the budget at the start — this is not a minor item that can be ignored. Saving on proxies in favor of free or shared IPs almost always leads to bans that "consume" much more money than the amount saved on infrastructure.
Step-by-step setup of profiles and proxies
Let's break down the practical algorithm for launching 10 profiles in an anti-detect browser using Dolphin Anty as an example — the principle is the same for AdsPower, GoLogin, and other solutions.
- Create 10 new profiles in the browser, selecting the operating system and screen resolution that match the geo of your traffic for each.
- For each profile, open the proxy settings, select the connection type SOCKS5 or HTTP, and insert the IP, port, username, and password data from the proxy provider's personal account.
- Check the IP using the built-in checker of the anti-detect browser: the country, time zone, and provider should match the geo where you are directing traffic.
- Assign the same IP to each profile for the entire lifespan of the account — do not enable automatic IP rotation within the session.
- Warm up the profile for 3-5 days: logins, likes, follows, and content viewing without abrupt actions.
- Only after warming up connect the ad account and launch the first test campaign with a minimal budget.
This sequence of actions reduces the likelihood of a ban at the start by almost half compared to launching ads immediately after account registration.
How not to lose the entire budget on bans
The main reason for losing the budget at the start is the chain ban, where the platform bans not just one account, but the entire chain of related profiles. The platform determines the connection between profiles by matching browser fingerprints, IP addresses, payment data, or the device used to log in.
To avoid chain bans, adhere to simple rules: never use one IP for two profiles simultaneously, do not log into different accounts from the same browser without anti-detect, and do not link the same card or payment system to different profiles without extreme necessity. It is also important to ensure that the system's time zone, interface language, and geo IP match — discrepancies in these parameters often raise suspicion with anti-fraud algorithms.
Important: if one profile out of 10 does get banned, do not rush to log into it again from the same device without a proxy — this may lead to additional checks on the other profiles in the same anti-detect browser account.
Expense optimization when scaling
When the test on 10 profiles shows a working combination, the question of scaling to 30-50-100 profiles arises. At this stage, expenses for proxies and anti-detect start to grow linearly, so it is important to think in advance about how to optimize them without losing quality.
The first step is to switch to a proxy plan that charges for traffic instead of charging for the number of IPs, if the provider allows it: with a large number of profiles, this is often more cost-effective. The second step is to segment proxies by tasks: for advertising profiles, residential and mobile IPs are retained, while for secondary tasks like monitoring competitors or warming up non-advertising accounts, cheaper data center proxies are used. The third step is to automate warming up through built-in scripts of the anti-detect browser, which saves the team's time as the number of profiles grows.
SMM agencies that manage accounts for 20-30 clients simultaneously usually allocate a separate IP for each client permanently, not just during the active campaign period — this is more convenient for accounting and reduces the risk of accidental IP overlap between different projects.
Checklist before launch
- Anti-detect browser selected and 10 profiles created with correct device parameters and geo
- Each profile has a separate static IP assigned without rotation
- Geo IP, time zone, and system language match each other
- Profiles warmed up for at least 3 days before launching ads
- Test budget distributed unevenly: part for scouting, part reserved for scaling the best combinations
- Payment data and SIM cards for verification do not overlap between profiles
- There is an action plan in case one of the profiles gets banned without risking the others
Frequently Asked Questions
Can I use one proxy for multiple profiles to save money?
Technically, yes, but this significantly increases the risk of a chain ban, as the platform will see matching IPs among several accounts. Saving on proxies almost always ends up costing more due to lost accounts and advertising budgets.
Are mobile proxies needed for all 10 profiles?
No, mobile proxies are usually only needed for the number verification stage or for applications that aggressively check the connection type. For primary work with the ad account, residential proxies are sufficient.
How long does it take to warm up 10 profiles?
On average, 3-5 days with regular activity of 15-20 minutes per profile per day. Faster warming is possible but increases the risk of a ban at the start of the advertising campaign.
Conclusion
Launching 10 profiles from scratch requires not only an advertising budget but also a well-thought-out estimate for infrastructure: anti-detect browser, proxies, and time for warming up accounts. Proper allocation of expenses at the start — 10-20% for proxies, a little for account preparation, and the main part for traffic — reduces the risk of losing the budget on bans and makes testing the combination more honest.
If you plan to launch advertising profiles in Facebook Ads or TikTok Ads, we recommend allocating in the estimate residential proxies — they provide minimal risk of blocking due to real IPs of home users. For number verification and working in mobile applications, it is convenient to use mobile IPs, while for secondary tasks without advertising load, you can save on more affordable data center proxies.