Spend days chasing scattered channels, spreadsheets and guesswork - or switch to a systematic, AI-curated Top-20 that surfaces verified female car YouTubers with audience insights, fraud checks and export-ready contacts in minutes.
Discover Top Female Car YouTubers For Your Campaign
We analyzed channels, comments, hashtags and audience signals to assemble this Top-20 of female car youtubers - vetted for engagement, reach, geography and fraud, ready for campaign briefs.
How recent are the audience and engagement metrics for these creators?
Metrics refresh on a rolling 30-day window: follower, ER%, views and posting cadence are updated continuously so pasted profiles and stats refresh in seconds. Numbers are normalized across Instagram, YouTube and TikTok for fair, side-by-side comparisons.
Can I export these creators' contact details and reports after signup?
Yes. After signing in you can export creator contacts and reports — Profile Analysis (PDF & JSON), saved lists (CSV), Media Plan rows (live Google Sheet) and Campaign Monitoring exports (CSV/Excel). Exports require signup/sign-in.
How does IQFluence normalize engagement and views across platforms?
We convert raw likes, comments and view counts into platform-aligned metrics by using last-30-day averages and posting cadence context - producing normalized ER%, min/avg/max views and cadence-adjusted bands so Instagram, YouTube and TikTok creators can be compared fairly side-by-side.
How does the Top-20 list handle creator recency and last-post activity?
We use last-post recency as a performance guardrail: creator stats reflect a rolling 30-day window, and “last-post” recency is included in the profile diagnostics so you can spot inactive or one-off creators at a glance. Pasted profiles refresh in seconds for up-to-date activity.
Can I build a side-by-side media plan from these Top-20 creators?
Yes. Pick creators from the Top-20, shortlist them into a one-row-per-creator Google Sheet via the Media Plan Builder after signup. That sheet gives apples-to-apples L30D stats, audience buckets, contact fields and outreach columns so you can review, compare and prepare approvals side-by-side.
How do you verify audience quality and detect fraud for these creators?
We cross-check audience signals and content behavior with multiple detectors: engagement consistency vs. one-offs, follower growth patterns, median views, ER% over 30/90 days, audience geography/language, and semantic matches in comments. Suspicious profiles trigger fraud flags so you can shortlist authentic creators.