KANSANS FOR MARSHALL
Chip in now.
Chip in now.
❗❗ I’m running for U.S. Senate in Kansas — and Chuck Schumer and the Democrats have raised $10 MILLION to defeat me and end our Senate majority. Chip in NOW to help me take Kansas off Schumer’s map >>>
❗❗ I’m running for U.S. Senate in Kansas — and Chuck Schumer and the Democrats have raised $10 MILLION to defeat me and end our Senate majority. Chip in NOW to help me take Kansas off Schumer’s map >>>
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 45.0/100 |
| Spend / Reach / Long. / Eff. | 47.8 · 72.4 · 6.1 · 53.6 |
| Spend range | USD 4,000–4,499 |
| Impressions | 60,000 – 69,999 |
| CPM (≈ $/1k impr) | USD 65.38 |
| Est. audience size | — |
| Days live | 23 (2020-09-03 → 2020-09-26) |
| Created | 2020-09-03 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | KS — Roger Marshall |
| Surfaced by | “senate:KS — Roger Marshall” |
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | professional |
| Who pictured | candidate, medical |
| Symbols | capitol statue, healthcare, family |
| Call to action | donate |
| Standout element | Candidate in doctor scrubs holding newborn babies juxtaposed with bold red 'DEFEND THE MAJORITY' text and Capitol backdrop |
| Tactic | The ad uses a two-pronged fear-and-identity tactic — framing a $10M opponent fundraising figure as an existential threat to the Senate majority while visually anchoring Marshall's likability as a trusted physician to drive urgent small-dollar donations. |
| California | 13.6% |
| Texas | 9.8% |
| Florida | 6.8% |
| New York | 4.0% |
| Illinois | 3.0% |
| Georgia | 2.9% |
| Pennsylvania | 2.9% |
| 25-34 · unknown | 0.0% |
| 65+ · male | 19.7% |
| 18-24 · female | 0.5% |
| 25-34 · male | 1.6% |
| 35-44 · female | 2.1% |
| 45-54 · male | 4.7% |
| 55-64 · female | 15.6% |
| 55-64 · male | 10.9% |
| 65+ · female | 34.0% |
| 18-24 · unknown | 0.0% |
| 45-54 · female | 5.3% |
| 25-34 · female | 1.2% |
| 35-44 · male | 2.4% |
| 18-24 · male | 1.1% |
| 65+ · unknown | 0.5% |
| 35-44 · unknown | 0.1% |
| 45-54 · unknown | 0.1% |
| 55-64 · unknown | 0.3% |