Dr. Roger Marshall US Inactive
KANSANS FOR MARSHALL
Keep Kansas RED >>>
Keep Kansas RED >>>
Chip in now.
Chip in 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 | 44.4/100 |
| Spend / Reach / Long. / Eff. | 43.1 · 69.3 · 10.5 · 54.6 |
| Spend range | USD 2,500–2,999 |
| Impressions | 45,000 – 49,999 |
| CPM (≈ $/1k impr) | USD 57.88 |
| Est. audience size | — |
| Days live | 39 (2020-09-03 → 2020-10-12) |
| 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” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate surrounded by press microphones at night with urgent red donate button overlay |
| Tactic | Classic threat-and-defend fundraising tactic — names a specific dollar enemy ($10M Schumer) to manufacture urgency and frame the race as a national Senate majority battle, driving immediate donation response. |
Where it ran (delivery by region)
| California | 12.4% |
| Texas | 10.0% |
| Florida | 6.3% |
| Kansas | 5.1% |
| New York | 3.4% |
| Illinois | 3.0% |
| Arizona | 3.0% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 55-64 · female | 11.7% |
| 18-24 · female | 0.4% |
| 35-44 · male | 2.3% |
| 45-54 · female | 3.2% |
| 65+ · male | 27.1% |
| 45-54 · male | 5.6% |
| 65+ · female | 29.1% |
| 55-64 · male | 15.1% |
| 35-44 · unknown | 0.0% |
| 35-44 · female | 1.0% |
| 18-24 · male | 1.0% |
| 45-54 · unknown | 0.1% |
| 65+ · unknown | 0.4% |
| 25-34 · female | 0.8% |
| 25-34 · male | 1.8% |
| 25-34 · unknown | 0.0% |
| 55-64 · unknown | 0.3% |
