Dr. Roger Marshall US Inactive
KANSANS FOR MARSHALL
Stop the radical left >>>
Stop the radical left >>>
Chip in now.
Chip in now.
Ad copy
BREAKING: My opponent Barbara Bollier — Chuck Schumer’s HAND-PICKED candidate — has set fundraising records. Donate NOW to help us fight back and defend OUR Republican majority >>>
BREAKING: My opponent Barbara Bollier — Chuck Schumer’s HAND-PICKED candidate — has set fundraising records. Donate NOW to help us fight back and defend OUR Republican majority >>>
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 46.8/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 73.9 · 13.5 · 61.3 |
| Spend range | USD 1,500–1,999 |
| Impressions | 70,000 – 79,999 |
| CPM (≈ $/1k impr) | USD 23.33 |
| Est. audience size | — |
| Days live | 50 (2020-09-15 → 2020-11-04) |
| Created | 2020-09-14 |
| 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 | attack opponent |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | none |
| Call to action | donate |
| Standout element | Desaturated grayscale photo of opponent looming above a torn-paper FOX4 news clip, creating a menacing visual threat |
| Tactic | Classic fear-and-urgency fundraising tactic: frames the opponent's fundraising success as a threat requiring an immediate $5 defensive donation to protect the Republican majority. |
Where it ran (delivery by region)
| Kansas | 10.3% |
| California | 9.9% |
| Texas | 9.5% |
| Florida | 6.0% |
| New York | 3.7% |
| Illinois | 3.2% |
| Missouri | 3.0% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 55-64 · female | 11.0% |
| 35-44 · unknown | 0.1% |
| 18-24 · female | 0.4% |
| 65+ · unknown | 0.3% |
| 55-64 · unknown | 0.3% |
| 45-54 · female | 5.4% |
| 25-34 · female | 1.2% |
| 45-54 · male | 11.0% |
| 25-34 · unknown | 0.1% |
| 65+ · male | 18.8% |
| 18-24 · male | 2.9% |
| 55-64 · male | 16.9% |
| 65+ · female | 15.6% |
| 25-34 · male | 5.9% |
| 35-44 · male | 7.4% |
| 35-44 · female | 2.4% |
| 45-54 · unknown | 0.1% |
