Tom Cotton US Inactive
COTTON FOR SENATE, INC.
Want to stop them?
Time to join the fight
Ad copy
The three people in this picture tried to ram through a bill to end voter ID, mandate ballot harvesting, and fund their campaigns with your tax dollars. Want to stop them from trying again? It’s time to join the fight. Chip in $8 before the deadline to help tough conservatives win —>
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 47.4/100 |
| Spend / Reach / Long. / Eff. | 43.1 · 78.0 · 7.4 · 61.0 |
| Spend range | USD 2,500–2,999 |
| Impressions | 100,000 – 124,999 |
| CPM (≈ $/1k impr) | USD 24.44 |
| Est. audience size | — |
| Days live | 28 (2022-10-14 → 2022-11-11) |
| Created | 2022-10-13 |
| 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 | attack opponent |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | us flag, money cash |
| Call to action | donate |
| Standout element | Black-and-white triptych of Biden, Pelosi, and Schumer rendered in unflattering, menacing tones paired with a red urgent donate button |
| Tactic | Classic threat-and-deadline fundraising tactic: villainizes named Democratic leaders with a specific policy grievance, then channels outrage into an $8 micro-donation ask with an artificial midnight deadline to manufacture urgency. |
Where it ran (delivery by region)
| Texas | 8.4% |
| Florida | 8.3% |
| California | 6.8% |
| Michigan | 4.0% |
| Pennsylvania | 3.9% |
| Ohio | 3.8% |
| New York | 3.4% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 55-64 · male | 17.2% |
| 25-34 · unknown | 0.0% |
| 45-54 · unknown | 0.1% |
| 18-24 · female | 0.2% |
| 55-64 · unknown | 0.2% |
| 18-24 · male | 0.5% |
| 25-34 · female | 0.6% |
| 65+ · female | 28.8% |
| 35-44 · male | 1.6% |
| 65+ · male | 28.9% |
| 45-54 · male | 5.8% |
| 55-64 · female | 11.2% |
| 35-44 · female | 0.7% |
| 45-54 · female | 2.4% |
| 25-34 · male | 1.5% |
| 65+ · unknown | 0.5% |
| 35-44 · unknown | 0.0% |
