Studies & benchmarks · Methodology
Compare only what is truly comparable.
Before a number is fit for comparison, it needs a definition, a population, a period, a segment and a note on data quality. Here you’ll find the methodology, two analyses of documented cases and a capture sheet for your own values.
Peak Atlas currently publishes no market study of its own and cites no external studies here. What you'll find: a clean methodology, two analyses based on documented cases, and a capture sheet for your own assessment.
Methodology
Seven details before a number may be compared.
This list is the yardstick for every metric on this website – and the proposal for your own.
- 01
- Definition
- What exactly does the value count? Numerator and denominator in one sentence. “Click rate” without a reference base is not a definition.
- 02
- Population
- How many cases make up the cohort? Five deals don't give you a rate, they give you an anecdote.
- 03
- Period
- Start period of the cohort and reference date of the measurement. Both must be treated the same for every comparison value.
- 04
- Segment
- Industry, company size, channel, product. A comparison across segments usually measures the segment difference, not performance.
- 05
- Data quality
- Share of required fields filled in, known gaps, system breaks. A value from 40% maintained records is a value about those 40%.
- 06
- Median and range
- Median instead of average, plus range or quartiles. An average hides the distribution you actually want to see.
- 07
- Comparability
- Only when the six points above are the same for both sides may you compare. Otherwise you describe, not compare.
Analyses
Two texts you can apply.
The first analysis reads documented recruiting cases from our case register – without aggregation, with visible gaps. The second shows how to build your own benchmarks from comparable cohorts.
Analysis · Growth · Strategy
Reach is not an application yet.
Four documented recruiting cases from the Peak Atlas register, read along the chain reach → open → click → application → hire – with visible data gaps and no comparison where none is valid.
approx. 3 min · 0 downloadsReadAnalysis · Strategy · Operations
Build your own benchmarks: reference values from your own cohorts.
External benchmarks rarely fit – different definitions, different segments, different periods. Internal benchmarks from comparable cohorts always fit. Here’s how to build them in four steps, with a blank KPI definition sheet to download.
approx. 2 min · 2 downloadsRead
Self-assessment
The benchmark capture sheet.
A blank sheet for your own data: metric, cohort, reference date, segment, population, numerator, denominator, value, median across previous cohorts, range, data quality, and comparability. It deliberately contains no external benchmark values.
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