Tom Cotton US Inactive
COTTON FOR SENATE, INC.
CHINA LIES. FIGHT BACK.
Sign up to fight back. China must be held accountable.
Ad copy
China unleashed the China virus on the world ➡ 🚨They arrested doctors who tried to warn the world. ❌They lied about the danger of the virus. 🌡They hoarded the world's supply of protective equipment. Join me if you agree: China must be held accountable.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 44.2/100 |
| Spend / Reach / Long. / Eff. | 29.2 · 75.1 · 4.1 · 68.6 |
| Spend range | USD 700–799 |
| Impressions | 80,000 – 89,999 |
| CPM (≈ $/1k impr) | USD 8.82 |
| Est. audience size | — |
| Days live | 16 (2020-04-29 → 2020-05-15) |
| Created | 2020-04-29 |
| 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 | attack opponent |
| Message type | list building survey |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | none |
| Call to action | sign petition |
| Standout element | Close-up of Xi Jinping in a mask with a raised finger against a blood-red background |
| Tactic | The ad weaponizes COVID grievance by casting China as a lying, dangerous adversary and uses a sign-up petition mechanic to build a contact list of engaged, anti-China sentiment voters. |
Where it ran (delivery by region)
| California | 8.5% |
| Florida | 8.3% |
| Texas | 7.2% |
| New York | 6.9% |
| Illinois | 4.7% |
| Pennsylvania | 4.5% |
| Ohio | 4.3% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 45-54 · male | 12.0% |
| 65+ · unknown | 0.2% |
| 55-64 · unknown | 0.2% |
| 65+ · female | 14.7% |
| 55-64 · male | 15.5% |
| 45-54 · female | 10.4% |
| 65+ · male | 10.3% |
| 25-34 · male | 3.1% |
| 35-44 · unknown | 0.1% |
| 25-34 · female | 2.2% |
| 35-44 · female | 5.0% |
| 35-44 · male | 6.3% |
| 18-24 · female | 0.7% |
| 55-64 · female | 17.8% |
| 18-24 · male | 1.3% |
| 45-54 · unknown | 0.1% |
| 25-34 · unknown | 0.0% |
