The Real Cost Per Profile: A Spreadsheet You Can Copy
Browser tooling is rarely the largest line in a multi-account budget. Proxies usually cost more, and phone verification can cost more than both combined. The useful number is total cost per account per month, and working it out changes which part of the stack is worth optimising — often not the one people shop for first.
What belongs in the calculation?
Five categories cover almost every real setup. Two of them — email and phone — are one-off or near-one-off costs that people leave out entirely, which makes the monthly figure look smaller than it is and makes browser tooling look disproportionately expensive by comparison.
| Category | Billing shape | Scales with |
|---|---|---|
| Browser tooling | Per profile or per licence | Profile count |
| Proxies | Per IP or per gigabyte | Account count and traffic |
| Per mailbox, monthly | Account count | |
| Phone numbers | One-off or monthly | Accounts needing verification |
| Virtual cards | Per card, sometimes per transaction | Account count |
Why does the billing shape matter more than the price?
Two costs of the same size behave very differently as you grow. A per-profile subscription rises in a straight line forever: 10 profiles cost ten times one profile, and 100 cost a hundred times. A one-time licence is a fixed cost that divides down as the estate grows, so its cost per profile falls every time you add one.
The crossover point decides which is cheaper for you, and it depends entirely on how long you keep the accounts rather than on the headline price.
| Model | Cost at 10 profiles | Cost at 100 | Direction |
|---|---|---|---|
| Per profile, monthly | 10× unit | 100× unit | Rises forever |
| Tiered subscription | Tier price | Higher tier | Steps up |
| One-time per profile | 10× unit, once | 100× unit, once | Flat after purchase |
How do you build the spreadsheet?
Use one row per category and two columns: monthly cost and one-off cost. Divide the monthly total by account count for the recurring figure, then amortise the one-off total over how long you realistically expect to keep the accounts — 24 months is a reasonable default for established stores.
The formula is: total monthly cost per account equals monthly spend divided by accounts, plus one-off spend divided by accounts divided by months held. Running it usually reveals that proxies dominate, which is where optimisation effort belongs.
Where does the money actually go?
Proxy bandwidth is the line that surprises people, because it is billed on usage rather than on account count. A workflow that loads image-heavy marketplace pages all day consumes far more than one that checks messages twice a day, and the same account count can produce a fivefold difference in bill.
Measure gigabytes per account per month before committing to a plan. Providers price this steeply, and the difference between a 2 GB and a 10 GB month per account usually exceeds whatever was saved by choosing a cheaper browser tool.
Which line dominates at scale?
Proxies, not profiles. A profile is a fixed low cost, while a residential address is billed monthly or by bandwidth — so at 20 accounts the network layer is usually the largest number on the sheet by a factor of 2 or 3.
That ordering should drive the optimisation. Shaving the profile subscription saves little; matching proxy type to what each account genuinely needs — ISP for the 3 strict platforms, ordinary residential for the other 17 — saves considerably more.
What should you do with the result?
Compare the total against revenue per account rather than against competing tools. An account producing meaningful monthly profit supports a stack that a marginal account does not, and the calculation frequently shows that the smallest stores are running at a loss once their share of fixed costs is counted.
Then optimise the largest line first. Most people shop hardest for the browser tool because it is the most visible purchase, while the proxy bill quietly costs more every month. Rebuild the spreadsheet whenever account count changes by more than half, since the per-account figure moves in ways that are not obvious from the individual invoices.
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