Reproducible method
Explain collection, normalization, exclusions, calculations, review, and the point at which the result can no longer be generalized.
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See the Indoo standard for original AI marketing research, datasets, experiments, surveys, aggregate insights, dates, samples, limitations, and citations.
What this page covers
Reproducible method · Responsible aggregation · Citation-ready outputIndoo research will publish the question, data source, sample, inclusion rules, collection dates, method, calculations, limitations, and reusable tables before making a headline claim. No benchmark is presented here until that evidence exists.
Verified against the current Indoo product · 2026-08-17Explain collection, normalization, exclusions, calculations, review, and the point at which the result can no longer be generalized.
Use anonymized aggregate platform insights only with appropriate privacy, minimum sample, and disclosure controls.
Publish stable URLs, dated tables, concise statistics, definitions, sources, and machine-readable context.
For research, the sequence keeps context, ownership, and the next decision visible.
State what is being measured, why it matters, and which result would change the conclusion.
Document the sample, dates, missing data, transformations, quality checks, and potential bias.
Release the method and tables with the interpretation, correction path, and planned refresh cadence.
There are no invented marketing statistics on this site. Quantitative reports will be added after a real, reviewable dataset meets this standard.
Answers stay specific to research and the current product boundary.
No benchmark numbers are published yet because a qualifying dataset and method have not been released.
Any aggregate platform research must use privacy-preserving thresholds, remove customer identifiers, and follow the applicable agreement and consent requirements.