Methodology
How RevXForge Builds Revenue Evidence
Before comparing a B2B benchmark with your business, check the metric definition, source, population, time period, segmentation, methodology and limitations.
How Evidence Is Ranked
Proprietary RevXForge Dataset
With documented methodology.
First-Party Survey
Direct survey data collected by RevXForge.
Research-Partner Dataset
Data provided through a research partnership.
High-Quality Public Dataset or Industry Report
Published, well-documented external sources.
Published Third-Party Analysis
Secondary analysis attributed to its original source.
Derived Model or Illustrative Calculation
Used only when clearly labeled as such.
What Every Benchmark Records
Source & Link
Where the data comes from.
Data Period
When the data was collected.
Sample or Population
Who or what was measured.
Metric Definition
Numerator, denominator and calculation.
Segmentation & Method
How the data is broken down and derived.
Limitations & Review
Limitations, last reviewed date and author/reviewer.
Common Questions
How should a B2B benchmark be evaluated?
Evaluate the metric definition, source, population, time period, segmentation, methodology and limitations before comparing the benchmark with your business.
What methodology should a revenue benchmark use?
A benchmark should define the metric, document its data source and population, explain the calculation and segmentation, state the measurement period and disclose limitations.
What is the RevXForge evidence hierarchy?
The preferred hierarchy moves from documented proprietary data and first-party surveys through partner datasets and high-quality public sources to third-party analysis and finally derived or illustrative calculations.
Why does benchmark segmentation matter?
Segmentation matters because deal size, industry, sales motion, buyer complexity and other variables can materially change revenue outcomes. A mixed average can therefore mislead.
What is false precision in benchmarking?
False precision occurs when a benchmark is presented as more exact or universally applicable than the evidence supports. When evidence is limited, a range or directional interpretation is more appropriate.
Evidence Applied to Your Numbers
This is the methodology behind every benchmark on the platform. See it applied on the Benchmarks page, or check the underlying source list.