Dr. Roger Marshall US Inactive
KANSANS FOR MARSHALL
SIGN NOW: STOP BIDEN'S MANDATE!
Add your name to the petition.
Ad copy
Joe Biden’s vaccine mandate is an un-American slap in the face to working Americans. NO American should be forced to choose between their job and the jab — and I’m doing EVERYTHING in my power to stop it. Will you stand with me? SIGN here to help stop Biden’s mandates!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 39.6/100 |
| Spend / Reach / Long. / Eff. | 29.2 · 65.4 · 2.2 · 61.4 |
| Spend range | USD 700–799 |
| Impressions | 30,000 – 34,999 |
| CPM (≈ $/1k impr) | USD 23.06 |
| Est. audience size | — |
| Days live | 9 (2021-12-01 → 2021-12-10) |
| Created | 2021-12-01 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | KS — Roger Marshall |
| Surfaced by | “senate:KS — Roger Marshall” |
🧠 AI analysis
| Issue | healthcare |
| Framing | attack opponent |
| Message type | list building survey |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate, workers labor |
| Symbols | us flag, factory industry |
| Call to action | sign petition |
| Standout element | Fox News chyron beneath Biden image reinforcing the 'government control' narrative with a masked worker in safety vest |
| Tactic | The ad weaponizes worker identity by framing vaccine mandates as a job-versus-jab ultimatum, using petition sign-up as a list-building mechanism while channeling populist anger against Biden. |
Where it ran (delivery by region)
| Missouri | 34.9% |
| Oklahoma | 23.9% |
| Kansas | 17.5% |
| Iowa | 14.4% |
| Nebraska | 9.2% |
Who saw it (delivery)
| 25-34 · unknown | 0.0% |
| 65+ · female | 18.6% |
| 55-64 · unknown | 0.2% |
| 18-24 · unknown | 0.0% |
| 45-54 · unknown | 0.1% |
| 25-34 · male | 1.9% |
| 55-64 · male | 16.0% |
| 25-34 · female | 1.8% |
| 35-44 · female | 4.9% |
| 18-24 · female | 0.3% |
| 45-54 · male | 10.4% |
| 65+ · male | 12.3% |
| 55-64 · female | 17.8% |
| 45-54 · female | 9.8% |
| 35-44 · male | 5.3% |
| 65+ · unknown | 0.2% |
| 18-24 · male | 0.4% |
| 35-44 · unknown | 0.0% |
