Youtubers Like Thewizardliz - Curated Creator Matches
1 - Scan our curated matches for creators whose content and tags align with Thewizardliz; 2 - Deep-dive the middle step - analyze audience quality, engagement, geo and language reach, plus fraud and performance signals; 3 - Export vetted contacts and launch paid collabs fast - so founders and CMOs get measurable awareness and sales without guesswork.
We found youtubers like thewizardliz by scoring content relevance, audience health, engagement and fraud signals so you can pick one vetted creator and launch fast.
Metrics refresh on a rolling 30‑day window. Key stats - ER%, min/avg/max views, and posting cadence - are normalized and updated in seconds when you paste a profile. That gives recent, comparable engagement and audience snapshots for fast, data-driven shortlists.
Yes. We standardize Instagram, TikTok and YouTube metrics - ER%, views, posting cadence - and present creators in one grid so you can quickly view normalized engagement, audience gender/geo/language, and reachability side-by-side for apples-to-apples shortlists.
Yes. After signing in you can export verified creator contacts and share-ready media plans. Exports include profile analysis (PDF/JSON), saved lists (CSV) and the Media Plan Builder as a live Google Sheet. Use these outputs to shortlist, approve, and hand off campaigns quickly.
We convert likes/comments and recent views into a common frame - ER% and view bands - using last‑30‑day averages and posting cadence context. Metrics are normalized across Instagram, TikTok and YouTube (ER%, min/avg/max views, posts/mo) so creators compare fairly in one grid.
Stats refresh in seconds after you paste a creator link. IQFluence pulls rolling last-30-day metrics and normalizes ER%, views and cadence so the pasted profile and its key stats update nearly instantly for immediate, comparable snapshots.
We flag suspicious audience and engagement by cross-checking patterns in the last 30 days - abnormal spikes, repetitive accounts, low-reach subscriber cohorts, and mismatched engagement vs. view distributions. Semantic and behavioral signals plus reachability filters surface likely fake activity so you can shortlist creators with cleaner audiences.