Democrat Youtubers - Verified Top 12 Political Creators
Busy founders and CMOs hunting credible progressive voices - stop sifting raw YouTube feeds. Our AI-curated Top 12 bundles verified Democrat creators with audience breakdowns, engagement checks and fraud flags so you can fast-track targeting, pitch-ready lists and launch campaigns today.
We analyzed content, audience signals and engagement trends to surface democrat youtubers who match geographic, language and reach filters—ready to catalog, contact and activate for turnout or awareness drives.
How recent are the audience and engagement metrics for these YouTubers?
Metrics refresh on a rolling last-30-days window - profile stats and audience snapshots update in seconds after pasting a handle, so engagement and audience breakdowns reflect the most recent 30-day activity.
Can I export these Democrat YouTuber profiles and audience reports?
Yes. After signing in you can export profile analyses and audience reports - PDFs and JSON for profiles, CSV for saved lists, plus Google Sheets from the Media Plan Builder and CSV/Excel for campaign monitoring. Exports require account access.
How does IQFluence verify a creator’s audience and detect fraud?
We combine behavioral and content signals: semantic analysis of titles/descriptions/transcripts, hashtag and keyword matches, audience geo/language/gender splits, engagement consistency vs. one-offs, follower-quality checks and reachability tests. Fraud flags surface low-quality followers, spikes or anomalous engagement patterns.
Can I compare these YouTubers side-by-side across platforms?
Yes. We standardize Instagram, TikTok and YouTube metrics - ER%, views and posting cadence - so you can view creators side-by-side in one grid. Paste handles to refresh L30D stats in seconds and compare audience demographics, engagement, reachability and performance on a single dashboard.
Can I build a Google Sheets media plan from this Top-12 list?
Yes. After signup you can push the Top-12 into the Media Plan Builder and generate a live Google Sheet with apples-to-apples rows - followers, L30D ER%, min/avg/max views, cadence, audience buckets and outreach fields. Exports require account access.
How do you handle cross-platform metric normalization for comparisons?
We normalize by converting platform-specific signals into comparable metrics - L30D ER% (likes+comments relative to followers), min/avg/max view bands, and posts/month cadence. Values are adjusted for posting frequency and audience size so Instagram, TikTok and YouTube sit on the same apples-to-apples scale.