Research library
6 published documents
Read our standardsResearch built to survive the next question.
First-party decision frameworks, measurement definitions and evidence led research for creator discovery teams.
Start with the decision
Use these documents by the question you need to resolve. Every topic links back to the complete evidence record, its limitations and its review owner.
A working library for decisions, not a shelf of search-result pages.
Define the market corridor
Name the origin, destination and campaign role for each market. A brief seeking Indian audiences in the UAE differs from one seeking UAE buyers through India-based creators.
In Cross-border creator audiences between India, UAE, UK and USBuild a cross-border evidence stack
Audience estimates should be reviewed beside language, recent content, brand context and a dated sample of market relevance.
In Cross-border creator audiences between India, UAE, UK and USAvoid identity as a reach proxy
Nationality, name, language or location can suggest a research path, but none proves audience distribution by itself.
In Cross-border creator audiences between India, UAE, UK and USLanguage is a content signal
Profile language does not always reflect the language used in recent posts or videos. Mixed-language publishing can also be central to the creator voice.
In India regional-language creator discovery landscapeRegion and audience are separate
A creator based in Chennai may reach Tamil-speaking audiences elsewhere in India and abroad. A Hindi creator in Mumbai may primarily reach a national audience.
In India regional-language creator discovery landscapeBuild a brief-specific taxonomy
Broad labels such as beauty or food should be decomposed into routines, concerns, formats and buyer context in the target language.
In India regional-language creator discovery landscapeDefine the benchmark unit
Decide whether the unit is a profile, channel, creator identity, content item or shortlist decision. Results cannot be interpreted if the unit changes between platforms.
In Instagram vs YouTube vs TikTok discovery benchmarksUse platform-native signals
Average views, followers, subscribers, short-form plays and engagement are not direct substitutes. Each platform rewards different formats and cadences.
In Instagram vs YouTube vs TikTok discovery benchmarksMeasure discovery quality
A useful benchmark tracks how many reviewed candidates genuinely match the brief, how much manual cleanup is required and whether the evidence supports approval.
In Instagram vs YouTube vs TikTok discovery benchmarksKeep four geographic dimensions separate
Residence, audience distribution, content language and market-specific content are related but not interchangeable.
In Creator location vs audience locationCross-border reach needs its own review
Creators can carry meaningful audiences beyond their home market, especially where language, diaspora and cultural interests travel.
In Creator location vs audience locationTurn geography into a reviewable decision
Begin with the audience market, then add creator location only when it serves the campaign. Review language, recent content and practical constraints afterward.
In Creator location vs audience locationBriefs are becoming more specific
Broad categories rarely express the actual creator need. Teams search for routines, problems, formats, communities, languages and buyer contexts that sit inside a category.
In The state of creator discovery in 2026Market context is becoming multidimensional
Creator location, audience country, city, content language and cultural context answer different questions. A global search model must preserve those differences.
In The state of creator discovery in 2026Evidence quality is becoming part of product quality
A result is easier to trust when the reviewer can inspect what matched, when it was observed and what remains unknown.
In The state of creator discovery in 2026Define the decision before collecting signals
Start with the business question, audience, market, creator role and disqualifiers. A database can surface candidates, but it cannot decide which trade-offs matter unless the team states them first.
In A practical evidence framework for creator discoveryClassify evidence by what it can support
Profile fields, recent content, audience estimates, calculated metrics and human interpretation are different evidence classes. Combining them into one unexplained score makes review harder, not easier.
In A practical evidence framework for creator discoveryBuild a decision record another person can challenge
The output should show why a candidate advanced, which evidence changed the decision and what remains unresolved. That makes client handoffs, approval meetings and future refreshes more efficient.
In A practical evidence framework for creator discovery
Cross-border research · Reviewed Aug 24, 2026
Cross-border creator audiences between India, UAE, UK and US
A research framework for evaluating creators whose audiences move across India, UAE, UK and US using geography, language and content evidence.
India market briefing · Reviewed Aug 24, 2026
India regional-language creator discovery landscape
A practical framework for finding Indian creators through regional language, city, topic, platform, audience geography and current content evidence.
Benchmark framework · Reviewed Aug 24, 2026
Instagram vs YouTube vs TikTok discovery benchmarks
A platform-neutral benchmark framework for comparing creator discovery relevance, evidence quality and review efficiency across Instagram, YouTube and TikTok.
Market research guide · Reviewed Aug 24, 2026
Creator location vs audience location
A field guide to separating creator residence, publishing context, content language and audience geography in influencer discovery decisions.
Research briefing · Reviewed Aug 24, 2026
The state of creator discovery in 2026
A practical review of how creator discovery is shifting from profile lists toward market, content, audience, workflow and evidence-aware decisions.
Research framework · Reviewed Aug 24, 2026
A practical evidence framework for creator discovery
A field framework for turning campaign criteria, creator signals and material unknowns into a shortlist another person can review.
Library standard
What makes a document useful after publication.
This hub currently contains 6 documents supported by 6 distinct source records. Counts describe this published library, not product coverage.
- 01
Decision before data
Each document begins with the question it can help a team answer.
- 02
Evidence class visible
Sources identify whether they are primary, secondary or first-party methodology.
- 03
Limits stay attached
Unknowns and interpretation remain distinct from observations and calculations.
- 04
A reviewer is accountable
Review dates and organizational bylines make ownership inspectable.