Tom Cotton US Inactive
COTTON FOR SENATE, INC.
STOP mass amnesty.
SIGN here.
Ad copy
🚨 Tom Cotton here. Democrats are trying to stuff MASS AMNESTY into the so-called “reconciliation bill,” which could pass the U.S. Senate without a single Republican vote. Mass amnesty would mean lower wages, higher crime, and more threats to our national security. I need YOU to help me stop this before it’s too late — will you join the fight? SIGN your name here.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 47.1/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 81.7 · 1.4 · 67.1 |
| Spend range | USD 1,500–1,999 |
| Impressions | 150,000 – 174,999 |
| CPM (≈ $/1k impr) | USD 10.77 |
| Est. audience size | — |
| Days live | 6 (2021-07-26 → 2021-08-01) |
| Created | 2021-07-26 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AR — Tom Cotton |
| Surfaced by | “senate:Tom Cotton” |
🧠 AI analysis
| Issue | immigration |
| Framing | attack opponent |
| Message type | list building survey |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | us flag |
| Call to action | sign petition |
| Standout element | Trio of desaturated opponent photos (Pelosi, Biden, Schumer) framed like mugshots under a bold red-and-navy attack headline |
| Tactic | Classic fear-and-enemy framing: named Democratic opponents are visually indicted beneath an urgent command headline, driving list-building petition signatures by making the threat feel immediate and personal. |
Where it ran (delivery by region)
| Texas | 7.6% |
| Florida | 7.5% |
| California | 6.7% |
| Pennsylvania | 4.9% |
| Ohio | 4.3% |
| North Carolina | 3.7% |
| Illinois | 3.5% |
Who saw it (delivery)
| 25-34 · unknown | 0.0% |
| 45-54 · male | 4.5% |
| 18-24 · unknown | 0.0% |
| 45-54 · unknown | 0.1% |
| 55-64 · unknown | 0.2% |
| 65+ · unknown | 0.3% |
| 45-54 · female | 3.5% |
| 25-34 · male | 0.9% |
| 65+ · female | 27.9% |
| 18-24 · female | 0.1% |
| 55-64 · male | 16.2% |
| 55-64 · female | 13.6% |
| 65+ · male | 29.0% |
| 25-34 · female | 0.6% |
| 35-44 · male | 1.7% |
| 35-44 · female | 1.1% |
| 18-24 · male | 0.2% |
| 35-44 · unknown | 0.0% |
