Measure visibility
Use impressions and campaign duration to understand how much exposure was delivered.
Understand impressions, clicks, visitors, CTR, traffic intensity and creator campaign funnels with measured examples, transparent calculations and clear limits. Buzz Crafter separates observed data from modeled outcomes so creators and agencies can make better decisions without turning traffic metrics into unsupported revenue claims.
An impression is not a click, a click is not a visitor, and a visitor is not automatically a subscriber. Each stage answers a different question.
Use impressions and campaign duration to understand how much exposure was delivered.
Clicks and CTR help describe how strongly the placement generated outbound interest.
Compare clicks with destination visitors to identify tracking or handoff differences.
Add platform-level follows, subscribers and revenue only when attribution is defensible.
Explore aggregated directory data from the Famez Creators network. These pages cover platform distribution, countries and regions, gender classifications, profile topics and directory growth. Every page states the dataset scope, snapshot date and taxonomy coverage so directory statistics are not mistaken for global creator-market estimates.
Snapshot: 2026-09-01
Platform shares use platform-profile records as the denominator. One creator can be represented on more than one platform.
Shares use only profiles classified for this taxonomy. Unclassified profiles are not redistributed.
Shares use only profiles classified for this taxonomy. Unclassified profiles are not redistributed.
Topic percentages use topic-classified profiles as the denominator. Profiles can carry multiple topics, so shares are not mutually exclusive.
The earlier absolute count is reconstructed from the current total and the published percentage change. It is a calculated comparison aid, not a separately cached measured source field.
Baseline bars are mathematically reconstructed from the source change percentages. A large percentage can reflect a small starting base, imports or coverage changes and should not be read as platform-wide creator growth.
Famez Creators is updated daily. Buzz Crafter reads the latest published aggregate from the public statistics API. Dataset additions, platform changes and reconstructed baselines describe the Famez Creators directory; they are not estimates of the entire global creator market.

A first-party snapshot of platform-profile distribution across the published Famez Creators directory, with scope and coverage limits.
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Country and DACH distribution across creator profiles represented in the Famez Creators dataset, including taxonomy coverage.
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Gender-category distribution across profiles classified in the Famez Creators dataset, interpreted alongside coverage.
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The most common profile topics in the Famez Creators dataset, with topic coverage and interpretation guidance.
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New creator additions and 30-day changes in the Famez Creators dataset, presented as directory growth rather than global market growth.
Read more →Use the remaining statistics library for traffic quality, campaign intensity, funnels and promotion measurement. These pages use measured campaign examples and calculated diagnostics rather than presenting directory counts as campaign benchmarks.
Aggregated creator-network statistics from the Famez Creators API, with snapshot dates, source boundaries and transparent methodology.
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A practical framework for interpreting impressions, clicks, visitors, CTR and downstream conversion without confusing visibility with revenue.
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Clicks and visitors answer different questions. Comparing both helps reveal repeat clicks, tracking differences and landing-page behavior.
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A creator campaign should be evaluated as a funnel: impressions create opportunities, clicks create visits and the profile must convert…
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A practical way to compare creator campaigns by daily traffic intensity without pretending that duration alone determines performance.
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Two measured campaigns show why clicks and direct visitors should be reported separately instead of being treated as the same…
Read more →See complete measured campaign examples and the limits of each dataset.
Explore case studies →Model budgets, ROI, pricing and engagement using transparent assumptions.
Use the tools →Build a repeatable campaign measurement and optimization workflow.
Read the guides →Set the metrics before launch, keep traffic and conversion separate, and use Famez when targeted external visibility fits the strategy.