Tom Cotton US Inactive
COTTON FOR SENATE, INC.
It's time to get tough on China
SIGN your name now.
Ad copy
I’ve introduced a bill to BAN Communist China from buying American land. We wouldn’t have let Soviet Russia do this — so why are we letting China? SIGN your name below to join me as a Citizen Co-Sponsor.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 46.1/100 |
| Spend / Reach / Long. / Eff. | 27.6 · 78.0 · 7.2 · 71.8 |
| Spend range | USD 600–699 |
| Impressions | 100,000 – 124,999 |
| CPM (≈ $/1k impr) | USD 5.77 |
| Est. audience size | — |
| Days live | 27 (2022-08-03 → 2022-08-30) |
| Created | 2022-08-02 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AR — Tom Cotton |
| Surfaced by | “senate:Tom Cotton” |
🧠 AI analysis
| Issue | foreign policy defense |
| Framing | issue advocacy |
| Message type | list building survey |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | sign petition |
| Standout element | crumpled Chinese flag as background image with torn-paper news quote overlay |
| Tactic | Uses fear-based framing with a Cold War Soviet Russia comparison and a third-party credibility boost from The Federalist to drive petition sign-ups as a list-building tool. |
Where it ran (delivery by region)
| Texas | 8.8% |
| Florida | 7.3% |
| California | 5.8% |
| Ohio | 4.1% |
| Pennsylvania | 4.0% |
| Michigan | 3.8% |
| New York | 3.5% |
Who saw it (delivery)
| 13-17 · female | 0.0% |
| 65+ · female | 26.4% |
| 45-54 · unknown | 0.1% |
| 25-34 · female | 0.5% |
| 65+ · unknown | 0.4% |
| 18-24 · male | 0.4% |
| 35-44 · female | 0.8% |
| 45-54 · male | 6.3% |
| 55-64 · male | 17.5% |
| 35-44 · male | 2.1% |
| 13-17 · male | 0.0% |
| 65+ · male | 29.8% |
| 55-64 · female | 11.1% |
| 45-54 · female | 2.6% |
| 25-34 · male | 1.5% |
| 25-34 · unknown | 0.0% |
| 55-64 · unknown | 0.2% |
| 18-24 · unknown | 0.0% |
| 18-24 · female | 0.2% |
| 35-44 · unknown | 0.0% |
