Comparable cohort
Group results only when company type, channel, objective, stage, and measurement conditions are meaningfully comparable.
BENCHMARK METHOD
A benchmark is useful only when the comparison is defensible.
Learn the Indoo standard for useful marketing benchmarks: cohort, sample, period, metric definition, distribution, privacy, limitations, and update cadence.
resource
What this page covers
Comparable cohort · Distribution over vanity · Privacy thresholdDIRECT ANSWER
A defensible marketing benchmark defines the population, cohort, sample size, collection period, metric, unit, distribution, exclusions, privacy threshold, and limitations. A single average without that context is not a useful benchmark.
Verified against the current Indoo product · 2026-08-17USE THIS RESOURCE
Leave with a clearer decision, not more marketing jargon.
Distribution over vanity
Publish medians, percentiles, sample counts, and missing-data notes instead of one impressive average.
Privacy threshold
Aggregate only above a documented minimum and remove identifiers or narrow cuts that could expose a customer.
READING PATH
Turn the resource into a decision you can apply.
For benchmarks, the sequence keeps context, ownership, and the next decision visible.
- 01
Define the metric
Write the numerator, denominator, unit, time window, attribution rule, and known sources of error.
- 02
Build the cohort
Document inclusion, exclusion, sample, collection date, bias, and missingness.
- 03
Publish the useful range
Show the distribution, limitations, and when the benchmark should not guide a decision.
EDITORIAL STANDARD
No Indoo aggregate benchmark values are currently claimed. Future numbers must link back to this level of method and disclosure.
DECISION QUESTIONS
What people ask before choosing this path.
Answers stay specific to benchmarks and the current product boundary.
Why not publish an industry average now?
An average without a qualified sample, metric definition, date, and cohort could mislead teams and would not meet the Indoo research standard.
Will customer-level results be identifiable?
Aggregate benchmark design should use thresholds and de-identification that prevent reporting a customer's private result.
PUT BENCHMARKS TO WORK
Apply this page to your real brand and next marketing goal.
- No payment card in signup
- Website-first brand setup
- Human approval available