Tom Cotton US Inactive
COTTON FOR SENATE, INC.
Tom Cotton
Ad copy
BREAKING: New York Democrats have passed a law that lets non-citizens — including illegal immigrants — VOTE in OUR elections! This is an assault on American sovereignty and every American citizen should stand up to stop this. Will YOU join Tom Cotton in the fight to keep our elections secure and enforce the rule of law? LIKE his page now >>
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 57.9/100 |
| Spend / Reach / Long. / Eff. | 46.5 · 94.0 · 20.7 · 70.5 |
| Spend range | USD 3,500–3,999 |
| Impressions | 500,000 – 599,999 |
| CPM (≈ $/1k impr) | USD 6.82 |
| Est. audience size | — |
| Days live | 76 (2021-12-14 → 2022-02-28) |
| Created | 2021-12-13 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | AR — Tom Cotton |
| Surfaced by | “senate:Tom Cotton” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | us flag |
| Call to action | none |
| Standout element | italicized and underlined 'illegal immigrants' and 'American sovereignty' text overlay on dark candidate portrait with repeated Tom Cotton campaign banners |
| Tactic | The ad uses a breaking-news urgency frame combined with a sovereignty threat narrative to provoke outrage and channel it toward page engagement, leveraging Cotton's authoritative podium image to position him as the defender against the threat. |
Where it ran (delivery by region)
| Florida | 7.0% |
| Texas | 6.3% |
| Ohio | 5.2% |
| Pennsylvania | 5.0% |
| New York | 4.4% |
| California | 4.4% |
| North Carolina | 3.6% |
Who saw it (delivery)
| 35-44 · unknown | 0.1% |
| 25-34 · male | 8.0% |
| 55-64 · unknown | 0.2% |
| 45-54 · unknown | 0.1% |
| 25-34 · unknown | 0.1% |
| 25-34 · female | 1.5% |
| 18-24 · male | 1.5% |
| 18-24 · female | 0.4% |
| 45-54 · male | 10.9% |
| 35-44 · female | 2.0% |
| 65+ · female | 18.8% |
| 55-64 · female | 13.0% |
| 45-54 · female | 5.6% |
| 65+ · male | 15.1% |
| 35-44 · male | 6.1% |
| 55-64 · male | 16.5% |
| 65+ · unknown | 0.2% |
| 18-24 · unknown | 0.0% |
