Youtubers That Vape - Curated Top Creator List

Browse our curated Top Creator List in three fast steps - 1) scan AI-verified profiles and semantic match scores, 2) pick the central creators with audience quality checks, engagement benchmarks and fraud detection, 3) export contacts and launch campaigns — get reach, conversions and measurable ROI.
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Discover Top Vape Youtubers For Campaign Success

We cataloged youtubers that vape using semantic matching, audience fraud filters, engagement benchmarks and reach metrics so you can select and launch fast.
Last date updated: October 9, 2025 · 22:39.
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FAQs

How recent are the engagement and audience metrics for these creators?
Metrics refresh on a rolling 30-day window - views, ER% and cadence reflect the last 30 days. Paste a profile and stats refresh in seconds for real-time checks; all comparisons are normalized for fair cross-platform analysis.
Can I export contact details and campaign-ready sheets after signup?
Yes. After signup and sign-in you can export creator contacts and campaign-ready sheets - Profile Analysis (PDF & JSON), Favorites (CSV), Media Plan Builder (live Google Sheet), and Campaign Monitoring (CSV/Excel). Exports unlock once you’re logged in.
How does IQFluence detect audience fraud and fake engagement?
We run layered checks on creator profiles and audiences - behavior signals, engagement distributions, sudden follower spikes, and inconsistent like/comment ratios across the rolling 30-day window. Semantic content analysis flags inorganic patterns; audience geography, language and reachability filters reveal improbable follower mixes. Anomalies score low on our fraud metric so you can shortlist genuine reach.
Can I compare vape YouTubers side-by-side across Instagram and TikTok?
Yes — compare YouTube creators against their Instagram and TikTok counterparts in one grid. We normalize ER%, views and posting cadence across platforms, show audience gender/geo/language and fraud signals, and refresh L30D stats so you can vet cross-platform fit side-by-side before outreach.
How do you normalize engagement and views across platforms?
We convert raw likes, comments and view counts into comparable metrics by using last-30-day averages and cadence context. ER% is calculated relative to followers; views use min/avg/max bands from recent-post distributions. Those normalized ER, view and posts-per-month numbers enable fair cross-platform side-by-side comparisons.
Can I build a media plan with side-by-side creator rows before approving?
Yes. Build a Media Plan with creator rows exported to a live Google Sheet - apples-to-apples rows show followers, L30D ER%, min/avg/max views, posts/mo, audience buckets, outreach fields. Use that sheet to shortlist, get approvals and then monitor campaigns after signup.