Tom Cotton US Inactive
COTTON FOR SENATE, INC.
I think Fauci should be FIRED. Do you agree?
Let me know here.
Ad copy
For the last year, Tony Fauci has had time to pose for glamour shots, throw out the first pitch, and appear on 19 podcasts per day. But he couldn’t be bothered to look into Communist China’s lies about the virus and its origins. That’s ridiculous — and I think Fauci needs to be FIRED. Do you agree? SIGN my petition to FIRE FAUCI here >>
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 51.4/100 |
| Spend / Reach / Long. / Eff. | 43.1 · 88.7 · 5.0 · 68.9 |
| Spend range | USD 2,500–2,999 |
| Impressions | 300,000 – 349,999 |
| CPM (≈ $/1k impr) | USD 8.46 |
| Est. audience size | — |
| Days live | 19 (2021-06-11 → 2021-06-30) |
| Created | 2021-06-11 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AR — Tom Cotton |
| Surfaced by | “senate:Tom Cotton” |
🧠 AI analysis
| Issue | healthcare |
| Framing | attack opponent |
| Message type | list building survey |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | medical |
| Symbols | healthcare |
| Call to action | sign petition |
| Standout element | Desaturated photo of Fauci in a mask surrounded by vivid red coronavirus imagery creating a menacing montage |
| Tactic | The ad weaponizes a petition as a list-building vehicle, channeling anti-Fauci anger into a low-friction 'sign if you agree' CTA to grow Cotton's donor and activist database. |
Where it ran (delivery by region)
| Florida | 7.7% |
| California | 7.1% |
| Texas | 6.2% |
| Pennsylvania | 5.3% |
| Ohio | 4.9% |
| New York | 4.8% |
| Michigan | 4.3% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 55-64 · female | 14.2% |
| 45-54 · unknown | 0.0% |
| 55-64 · unknown | 0.1% |
| 18-24 · male | 0.1% |
| 35-44 · female | 1.3% |
| 65+ · male | 22.4% |
| 65+ · female | 35.6% |
| 55-64 · male | 13.8% |
| 25-34 · unknown | 0.0% |
| 35-44 · male | 1.4% |
| 25-34 · female | 0.8% |
| 45-54 · male | 4.5% |
| 45-54 · female | 4.4% |
| 65+ · unknown | 0.3% |
| 25-34 · male | 0.7% |
| 18-24 · female | 0.2% |
| 35-44 · unknown | 0.0% |
