Reproducible method
Explain collection, normalization, exclusions, calculations, review, and the point at which the result can no longer be generalized.
RESEARCH STANDARD
Publish the method before asking anyone to trust the conclusion.
See the Indoo standard for original AI marketing research, datasets, experiments, surveys, aggregate insights, dates, samples, limitations, and citations.
WHAT MATTERS
The operating details behind the promise.
Responsible aggregation
Use anonymized aggregate platform insights only with appropriate privacy, minimum sample, and disclosure controls.
Citation-ready output
Publish stable URLs, dated tables, concise statistics, definitions, sources, and machine-readable context.
HOW IT WORKS
Move from context to accountable action.
Every stage keeps the brand, goal, evidence, permissions, and work history attached.
- 01
Pre-register the question
State what is being measured, why it matters, and which result would change the conclusion.
- 02
Collect and audit
Document the sample, dates, missing data, transformations, quality checks, and potential bias.
- 03
Publish with limits
Release the method and tables with the interpretation, correction path, and planned refresh cadence.
INDOO PRINCIPLE
There are no invented marketing statistics on this site. Quantitative reports will be added after a real, reviewable dataset meets this standard.
COMMON QUESTIONS
Direct answers, then the details.
Where are the current benchmark numbers?
No benchmark numbers are published yet because a qualifying dataset and method have not been released.
Will customer data be exposed?
Any aggregate platform research must use privacy-preserving thresholds, remove customer identifiers, and follow the applicable agreement and consent requirements.
ONE BRAND BRAIN · ONE LOOP
Put this workflow to work on your real brand.
- No payment card in signup
- Website-first brand setup
- Human approval available