Most people buying proxies for the first time approach it as a single question, which plan, and end up choosing on price alone. That usually produces one of two outcomes: a plan too small for the work, discovered halfway through the month, or a plan bought for capacity that never gets used. Neither is really a pricing mistake. They come from skipping the two decisions that should happen before you look at a price at all.
Choosing well is three decisions in order: what kind of proxy your project needs, how much bandwidth that project will actually consume, and which features are genuinely required rather than merely listed. Get those right and the plan picks itself.
Decision one: which product your project needs
The product types are not tiers of the same thing. They behave differently, and picking the wrong one cannot be fixed by buying more of it.
Rotating residential is the default for data collection. You draw from a large pool of real home addresses, and by default each request exits through a different one, which spreads your volume so no single address draws attention. Choose this when the work is scraping, price or availability monitoring, SERP and rank collection, ad verification, or any job whose shape is many requests across many targets or markets.
Static residential, or ISP proxies, are hosted addresses registered to a consumer internet provider, so they carry residential-grade trust but stay the same over time. Choose this when persistence is the requirement rather than volume: managing accounts that should always be seen from the same address, long-lived sessions, or anything where an address changing underneath you is the problem rather than the solution. The trade-off is covered in ISP versus residential and what static residential proxies are.
Datacenter is cheapest and fastest, and it is the right answer when your targets do not care. If you are hitting an open API, your own infrastructure, or sites with no meaningful defences, paying residential prices is waste. The honest comparison is in residential versus datacenter.
The practical rule is to use the cheapest type that reliably clears your actual targets, and to establish that by testing rather than assuming. Many projects end up mixed: datacenter for the easy sources, residential for the defended ones.
Decision two: how much bandwidth
Residential proxies are billed by data transferred rather than by the number of addresses you touch, so bandwidth is the number that determines your plan. The reasoning behind that model is in why the per-port era is over, and the sizing method is straightforward.
Estimate the average size of a response from your targets, multiply by the number of requests you expect in a month, and add margin for retries and failures. A plain HTML page or a JSON API response is usually tens of kilobytes; a full page rendered in a browser, with images, fonts, and scripts, can be several megabytes, which is the single biggest variable in the whole calculation. Ten thousand JSON calls a day is a very different plan from ten thousand fully rendered pages a day, and the difference is roughly two orders of magnitude. The worked method is in estimating monthly bandwidth.
Two things reduce the number before you buy. Fetching the underlying data endpoint rather than rendering the whole page is the largest lever, and blocking images, media, and fonts when you genuinely must render is the second, both covered in cutting proxy bandwidth costs. It is worth doing that optimisation before sizing a plan, because it can move you down a tier.
Note what is not on this list: how many IPs you get. On a pooled network that is not the quantity you buy, and the reasoning is in how many proxy IPs you actually need. The one exception is concurrent sticky sessions, which is a real requirement to state if your work needs held identities.
Decision three: which features are actually required
Feature lists are where plans start to look complicated. Most of it reduces to five questions.
Geographic granularity. Country targeting covers most projects. If your work depends on local results, local pricing, or store-level data, you need city-level targeting, and if you are dealing with carrier-specific behaviour you need ASN targeting. Check that the countries you care about are well covered, not just that a large global number is advertised.
Session control. Confirm you can both rotate per request and hold a sticky session when a multi-step flow needs one. Most real projects need both at different moments.
Concurrency. Ask what limit applies to simultaneous connections, because a plan that meters concurrency separately will throttle a job that a bandwidth-only plan would run comfortably. See unlimited concurrent connections.
Protocols and integration. HTTP and SOCKS5 cover almost everything; what matters more is that targeting is expressed in a way your stack can drive per request, which on a gateway means credentials in the username rather than a dashboard toggle.
Everything else is usually secondary until you are operating at scale, at which point support responsiveness and billing flexibility start to matter more than any feature checkbox.
Matching common project shapes to plans
A few patterns cover most first purchases.
A small research or monitoring project, tracking a few hundred pages daily, is typically a few gigabytes a month on rotating residential with country targeting. Start at the smallest tier that clears your estimate with margin, since moving up later is easy and buying a large tier for a project you have not yet validated is not.
A production scraping pipeline across many targets is where bandwidth estimation earns its keep, and where the optimisation work pays for itself directly. Size on measured usage from a trial rather than a guess, and expect the real figure to differ from your estimate in both directions.
Account or session-based work points at static ISP addresses and a stated number of concurrent sessions rather than a large rotating pool.
Mixed workloads are common and fine: datacenter for undefended sources, residential for the rest. Sizing each separately is cheaper than putting everything through the expensive path.
Validate before you commit
Whatever you conclude, treat it as a hypothesis and test it on a trial or a small first purchase before scaling. Run your real targets, not a generic test URL, and measure success rate with response validation rather than status codes alone, since a challenge page returned with a 200 will otherwise look like success. Confirm the geography you paid for is the geography you get. Measure actual bytes per request so your bandwidth estimate becomes a measurement. The method is in testing speed, success rate, and location accuracy, and the provider-level criteria are in how to choose a proxy network.
A week of real usage tells you more than any specification sheet, and it converts all three decisions above from estimates into facts.
The bottom line
Choose the product type by what your targets demand, not by price: rotating residential for volume and geography, static ISP for persistence, datacenter where the targets do not care. Size the plan by bandwidth, which means estimating response size times request volume and optimising what you fetch before you buy, since that alone can move you a tier. Require only the features your project actually uses, with geographic granularity and session control being the two that most often matter. Then validate on real targets before scaling, because measured usage beats every estimate.
If that points you at rotating residential, residential proxies give you country and city targeting, rotation by default, and sticky sessions when a flow needs one, with per-GB pricing so the plan tracks the data you actually move rather than a seat count or a port allocation.