When picking a proxy, judge by cost per working result, not price per GB
Running a small SaaS that depends on public data like competitor prices, product pages, regional , and stock availability, the operator started getting blocked (403 errors) and served wrong-country versions of pages once relying on datacenter IPs. Looking for a (one that routes traffic through IPs that look like regular home internet connections), the key realization was that price per GB is the wrong metric — cost per successful, usable result is what actually matters. A $1/GB proxy that fails half its requests ends up costing more than a $3/GB proxy that reliably works, and once that framing clicked, many previously 'cheap' options no longer looked cheap.
Large enterprise providers like and Oxylabs offer strong IP pools and targeting quality, but their high minimum spend and sales-call-required onboarding make them overkill for a small-stage operation. Ultra-cheap options look great on paper, but under real traffic they often hide high retry rates and exit nodes (the final IP a request actually leaves from) that drop connections mid-request, so they shouldn't be trusted with until proven reliable.
Key points
- Evaluate proxies by cost per successful result, not price per GB
- Datacenter IPs can trigger 403 blocks and serve the wrong country's page version
- Enterprise proxies (, Oxylabs) have strong quality but high minimums and sales-driven onboarding, overkill for small scale
- Ultra-cheap proxies can hide high retry rates and unreliable exit nodes
- Test cheap options thoroughly before trusting them with