Bill Hagerty US Inactive
TEAM HAGERTY
Sign The Petition to hold Big Tech and President Biden accountable!
We MUST eliminate the collusion between Silicon Valley and Washington against the American people!
Ad copy
The Biden Administration is working with Big Tech to censor free speech. Sign the petition to hold Big Tech and President Biden accountable.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 50.1/100 |
| Spend / Reach / Long. / Eff. | 43.1 · 87.0 · 2.5 · 67.7 |
| Spend range | USD 2,500–2,999 |
| Impressions | 250,000 – 299,999 |
| CPM (≈ $/1k impr) | USD 10.0 |
| Est. audience size | — |
| Days live | 10 (2021-07-26 → 2021-08-05) |
| Created | 2021-07-26 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | TN — Bill Hagerty |
| Surfaced by | “senate:Bill Hagerty” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | attack opponent |
| Message type | list building survey |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | none |
| Call to action | sign petition |
| Standout element | Dark composite image placing Biden's back-turned silhouette against Mark Zuckerberg's intense stare, surrounded by glowing Big Tech logos |
| Tactic | The ad exploits fear of censorship by visually fusing Biden and Zuckerberg into a shadowy conspiratorial duo, using urgency framing and a petition CTA to build the candidate's list while stoking anti-establishment anger. |
Where it ran (delivery by region)
| Florida | 8.4% |
| Texas | 7.3% |
| California | 6.2% |
| Ohio | 4.5% |
| Pennsylvania | 4.3% |
| New York | 4.0% |
| Michigan | 4.0% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 25-34 · male | 3.7% |
| 35-44 · unknown | 0.1% |
| 25-34 · unknown | 0.0% |
| 55-64 · unknown | 0.1% |
| 18-24 · male | 0.3% |
| 35-44 · female | 4.6% |
| 45-54 · unknown | 0.1% |
| 25-34 · female | 1.9% |
| 65+ · unknown | 0.2% |
| 45-54 · female | 9.0% |
| 45-54 · male | 10.4% |
| 35-44 · male | 6.4% |
| 65+ · female | 19.0% |
| 65+ · male | 12.7% |
| 55-64 · male | 14.9% |
| 55-64 · female | 16.5% |
| 18-24 · unknown | 0.0% |
