Like a precision map through a crowded server, this shortlist homes in on the creators who drive real engagement for Minecraft SMP campaigns — we ran semantic relevance, audience fraud checks, engagement and reach analysis, then packaged it into exportable reports via IQFluence to speed your launch.
We catalog minecraft smp youtubers whose audiences match campaign goals - vetted for fraud, engagement, geography and language, ranked for reach and ready to export.
How fresh are the metrics and how often do creator stats update?
Metrics reflect a rolling last-30-days snapshot and refresh in seconds for any pasted profile. Key fields - ER%, views, posts/mo and audience slices - are normalized and updated continuously so you see near-real-time performance for discovery and reporting.
Can I export Top-20 creator contacts and reports after signup?
Yes. After signup you can export the Top-20 creator contacts and full profile reports — PDF/JSON for analyses, CSV for saved favorites, and a live Google Sheet from the Media Plan Builder. Exports require sign-in and reflect the rolling last-30-day metrics shown in the platform.
How does IQFluence normalize ER, views and posting cadence across platforms?
We convert raw likes, comments, views and post timestamps into comparable signals - ER% is averaged over the last 30 days with cadence context, views are reported as min/avg/max from recent-post distributions, and posting cadence (posts/mo) is normalized so creators on Instagram, TikTok and YouTube sit on the same scale for fair cross-platform comparison.
Can I compare SMP YouTubers side-by-side across platforms?
Yes. You can place YouTube SMP creators alongside Instagram and TikTok profiles in a single, apples-to-apples grid - ER%, min/avg/max views and posts/mo are normalized across platforms and refreshed from the rolling 30-day window so you can compare reach, engagement and cadence side-by-side.
What data fields update when I paste a creator profile?
Pasted profiles refresh in seconds and pull the rolling 30-day metrics: ER% (L30D average), min/avg/max views, posts/mo (normalized cadence), recent-post recency, follower tier, audience slices (gender, age, top countries/cities, language), engagement counts (likes/comments/shares), and contact/outreach fields.
How does IQFluence detect audience fraud and fake followers?
We flag suspicious audiences by merging behavioral and audience signals: sudden follower spikes, low recent-post reach, abnormal engagement distributions, mismatched follower geos/languages, and small repeat commenters. IQFluence cross-checks these against L30D activity, engagement patterns and audience slices to score likely fraud.