Bot Traffic Percentage Calculator
Work out bot traffic percentage instantly with clear inputs, formula shown and shareable results.
About Bot Traffic Percentage Calculator
Automated traffic routinely accounts for a third to a half of requests on public sites, but the split between declared good bots — search crawlers, monitoring, partner integrations — and malicious automation is what determines the action. Good bots should be allow-listed and rate shaped; bad bots represent both a security risk and a direct infrastructure bill for traffic that generates no value.
Formula
Bot traffic split
bad bots = identified bots - good bots; share = bad bots / total requests; cost = bad bots x price per million / 1e6
Worked example
With the default values below, Bot Traffic Percentage Calculator returns Malicious bot share of traffic of 23.00%. Change any input above and every figure here is recalculated in your browser.
Inputs used
- Total requestsminimum 1
- 50,000,000
- Requests identified as botsminimum 0
- 16,000,000
- Requests from declared good botsminimum 0
- 4,500,000
- Serving cost per million requestsminimum 0
- 1.8
Results
- Malicious bot share of traffic
- 23.00%
- All automated traffic
- 32.00%
- Human requests
- 34,000,000
- Cost of serving malicious bots
- $20.70
Step by step
- 1Values used
- 2Bot traffic split
- 3Malicious bot share of traffic= 23.00
- 4All automated traffic= 32.00
- 5Human requests= 34,000,000
- 6Cost of serving malicious bots= 20.70
Assumptions and limits
- The result is derived only from the 4 inputs listed above. Anything not among them is not part of the calculation.
- In particular, this calculator does not take inflation, tax or compounding frequency into account.
- Figures are rounded for display to 2 decimal places, so totals built from several rounded parts can differ slightly from the unrounded arithmetic.
How these calculators are built and tested is described on the Methodology page. If a figure looks wrong, please report it.
Frequently Asked Questions
How are good bots verified?
By reverse DNS on the source address followed by a forward lookup, or by the published address ranges of the operator. Trusting the user agent alone is trivially spoofed.
Why not block all automation?
Blocking search crawlers destroys organic traffic, and blocking monitoring breaks observability. Bot management is about classification and shaping rather than blanket denial.
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