Drive faster campaign results with handpicked Scottish female YouTubers - finding trusted creators is slow, noisy and risky; our AI-audited shortlist fixes that with fraud checks, audience insights, engagement benchmarks and exportable contacts so you can launch paid partnerships this week - explore the list.
We vetted scottish youtubers female by audience, engagement and fraud signals - ready-to-launch Top-20 picks with exportable contacts and campaign benchmarks.
How fresh are the audience and engagement metrics for these creators?
Metrics refresh continuously with a rolling last-30-days window. Paste a profile and its stats refresh in seconds, and core KPIs - ER%, views, post cadence - are normalized for fair cross-platform comparisons.
Can I export contact details and analysis for these Scottish creators?
Yes. After signing in you can export contact details and analysis—Profile Analysis (PDF/JSON), Favorites (CSV) and Media Plan rows (Google Sheet). Exports require signup and reflect the same AI-audited metrics and audience checks shown in the platform.
How recent is the data for each creator’s audience and engagement?
We use a rolling 30-day window for core metrics. Stats update continuously - paste a profile and its L30D KPIs refresh in seconds. ER%, views and posting cadence are normalized so you can compare creators across Instagram, YouTube and TikTok fairly and reliably.
Can I compare these Scottish creators side-by-side across platforms?
Yes. Profiles from Instagram, YouTube and TikTok are standardized and normalized - ER%, views and posting cadence use the same L30D logic so you can open creators side-by-side in one grid, review audience demographics, fraud signals and export comparable rows for your media plan after signing in.
Do the exports include audience demographics and fraud-detection details?
Yes. Exports include audience demographics (gender, age buckets, top countries/cities, languages) plus AI-audited fraud signals and engagement diagnostics in Profile Analysis (PDF/JSON), Favorites (CSV) and Media Plan rows after you sign in.
How does IQFluence normalize ER% and views for cross-platform comparison?
We convert raw likes/views into uniform L30D metrics: ER% is calculated as likes+comments relative to followers over the last 30 days with posting cadence context, and views use min/avg/max from recent-post distributions. Those normalized bands let you compare creators across Instagram, YouTube and TikTok fairly.