Tom Cotton US Inactive
COTTON FOR SENATE, INC.
Help me stop the madness.
Pitch in now.
Ad copy
First, Democrats tried to end voter ID and fund their campaigns with our tax dollars. Now, they’re trying to let illegal immigrants vote in our elections. I’m leading the fight to stop them, but I need your help. Stand with me to protect our elections. Rush a donation now —>
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 45.1/100 |
| Spend / Reach / Long. / Eff. | 41.0 · 75.1 · 3.9 · 60.4 |
| Spend range | USD 2,000–2,499 |
| Impressions | 80,000 – 89,999 |
| CPM (≈ $/1k impr) | USD 26.46 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 15 (2022-10-21 → 2022-11-05) |
| Created | 2022-10-20 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AR — Tom Cotton |
| Surfaced by | “senate:Tom Cotton” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | professional |
| Who pictured | candidate |
| Symbols | us flag |
| Call to action | donate |
| Standout element | News headline from Washington Free Beacon ripped over a dark dramatic photo of Cotton with a red CTA button |
| Tactic | The ad uses a fear-and-threat framework — citing a news headline as credibility, stacking Democratic villains, then positioning Cotton as the lone defender — to drive urgency and a low-dollar $3 donation ask. |
Where it ran (delivery by region)
| Texas | 8.7% |
| Florida | 7.9% |
| California | 7.7% |
| Arkansas | 4.5% |
| Michigan | 3.7% |
| Pennsylvania | 3.7% |
| New York | 3.5% |
Who saw it (delivery)
| 13-17 · female | 0.0% |
| 18-24 · male | 0.5% |
| 55-64 · unknown | 0.2% |
| 35-44 · unknown | 0.0% |
| 45-54 · unknown | 0.1% |
| 65+ · unknown | 0.5% |
| 25-34 · female | 0.7% |
| 35-44 · male | 1.5% |
| 45-54 · female | 3.1% |
| 45-54 · male | 4.3% |
| 13-17 · male | 0.0% |
| 55-64 · male | 12.8% |
| 55-64 · female | 12.3% |
| 35-44 · female | 0.9% |
| 65+ · female | 35.0% |
| 65+ · male | 26.5% |
| 25-34 · male | 1.3% |
| 18-24 · female | 0.3% |
| 18-24 · unknown | 0.0% |
| 25-34 · unknown | 0.1% |
