Explore our verified australian makeup youtubers Top-20—ranked by audience quality, engagement, reachability and ready for instant outreach and campaign launch.
How fresh are the engagement and audience metrics in this Top-20 list?
Metrics reflect activity from the rolling last-30-days. Profile stats and engagement rates refresh in seconds when you paste a handle, and views/ER/post cadence are normalized for fair cross-platform comparison.
Can I export contact details and campaign sheets after signup?
Yes. After signup you can export creator contact fields and campaign rows — Profile Analysis (PDF/JSON), Favorites CSV, Media Plan Builder as a live Google Sheet, plus Campaign Monitoring CSV/Excel. Exports unlock once you sign in.
How does IQFluence normalize ER, views and posting cadence for fairness?
We standardize each creator by using the last-30-day activity window: ER% is averaged with posting cadence context, views are converted into min/avg/max bands from recent-post distributions, and post frequency is normalized so Instagram, YouTube and TikTok metrics sit on the same apples-to-apples scale.
How does the Top-20 list ensure creators match my campaign audience?
We match audience fit by combining semantic content analysis with audience verification - creators are chosen via keyword/hashtag and video-transcript relevance, plus audience filters (location, gender, age, language) and fraud/engagement checks. The result: theme-aligned creators whose verified followers fit your target.
Can I compare these YouTubers side-by-side with Instagram and TikTok creators?
Yes — we present Instagram, YouTube and TikTok creators in a single, standardized grid so you can evaluate them together. Metrics are normalized (ER%, views, cadence) and refreshed on the rolling 30-day window, letting you compare audience quality, reachability and engagement side-by-side in one view.
How do you verify and detect fraudulent followers in creator audiences?
We scan recent activity and audience signals in the last-30-days to flag anomalies - sudden follower spikes, low engagement-to-follower ratios, abnormal geographic/language distributions, bot-like comment patterns and unreachable contact rates. Those signals feed fraud filters and engagement diagnostics so you see % of likely real viewers.