Dr. Roger Marshall US Inactive
KANSANS FOR MARSHALL
End of Month Deadline >>
End of Month Deadline >>
Rush donate now.
Rush donate now.
Ad copy
Chuck Schumer and the Democrats have raised $10 MILLION to defeat me in Kansas — and if they win here, they win the U.S. Senate. I need YOU to stand with me to defend OUR Senate majority. Donate NOW >>>
Chuck Schumer and the Democrats have raised $10 MILLION to defeat me in Kansas — and if they win here, they win the U.S. Senate. I need YOU to stand with me to defend OUR Senate majority. Donate NOW >>>
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 40.0/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 65.4 · 1.1 · 55.1 |
| Spend range | USD 1,500–1,999 |
| Impressions | 30,000 – 34,999 |
| CPM (≈ $/1k impr) | USD 53.83 |
| Est. audience size | — |
| Days live | 5 (2020-08-27 → 2020-09-01) |
| Created | 2020-08-27 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | KS — Roger Marshall |
| Surfaced by | “senate:KS — Roger Marshall” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate, medical |
| Symbols | healthcare, family |
| Call to action | donate |
| Standout element | Candidate in doctor scrubs holding newborn twins juxtaposed with bold red 'END OF MONTH' deadline text |
| Tactic | Classic end-of-month fundraising urgency tactic pairing a sympathetic candidate image (doctor with babies) with a high-stakes financial threat from a named opponent to trigger immediate donor action. |
Where it ran (delivery by region)
| California | 10.0% |
| Texas | 9.8% |
| Kansas | 7.7% |
| Florida | 5.8% |
| New York | 3.4% |
| Missouri | 3.2% |
| Illinois | 3.1% |
Who saw it (delivery)
| 35-44 · unknown | 0.0% |
| 45-54 · male | 3.6% |
| 18-24 · female | 0.4% |
| 45-54 · unknown | 0.1% |
| 65+ · unknown | 0.6% |
| 45-54 · female | 4.5% |
| 55-64 · male | 10.3% |
| 65+ · female | 38.6% |
| 55-64 · female | 16.3% |
| 25-34 · unknown | 0.0% |
| 65+ · male | 19.6% |
| 25-34 · female | 0.9% |
| 35-44 · male | 1.5% |
| 35-44 · female | 1.4% |
| 25-34 · male | 1.2% |
| 18-24 · male | 0.7% |
| 55-64 · unknown | 0.2% |
| 18-24 · unknown | 0.0% |
