What is Success Rate?

How Success Rate Is Measured

The formula is simple — successful requests divided by total attempts over a time window — but the definition of success is not. Connection-level success means the tunnel through the proxy was established. HTTP-level success usually means a 2xx status code came back. Content-level success means the response actually contained the expected data.

These definitions diverge in practice. A protected site can return HTTP 200 while serving a CAPTCHA interstitial or an empty template — an HTTP success but a content failure. Conversely, a 404 for a product that was genuinely removed is a correct, useful measurement. Mature pipelines define success per target and validate response content instead of trusting status codes.

Providers publish network-wide figures aggregated across many customers and targets. Your observed rate is a function of your specific target mix, request design, and rotation settings, so the two numbers measure different things.

Why It Matters for Proxies and Data Collection

Success rate translates directly into cost and throughput. Every failed request that must be retried consumes time and bandwidth — and on per-GB plans, money — so a few percentage points compound heavily at scale. It also bounds data completeness: rows you fail to fetch are gaps in the dataset, and gaps that correlate with the hardest targets bias the analysis.

Per-target variance matters more than the blended average. An aggregate rate can look healthy while one difficult site fails most of the time, so monitoring should break the metric down by target and proxy type. ProxyOmega's network sustains a 99.7% success rate network-wide, but the operational habit that matters is measuring your own per-target numbers continuously.

Practical Notes and Common Misconceptions

No proxy network delivers 100% on every target: heavily protected sites block some fraction of even clean residential traffic, and transient network errors always exist. Treat published figures as comparable only when the methodology matches — what counted as failure, against which targets, over what time window.

A low success rate is not automatically the proxy's fault. Aggressive per-IP request frequency, missing or inconsistent headers, stale sessions, and broken cookie handling all depress the number. Before blaming the network, hold the proxy constant and vary the request design — it is often the cheaper fix.