Dr. Roger Marshall US Inactive
KANSANS FOR MARSHALL
TRUMP'S TOP KANSAS SUPPORTERS: SIGN NOW
President Trump has asked me to put together a list of his TOP Kansas supporters. SIGN your name now!
Ad copy
I’m proud to join President Donald J. Trump's team as co-chair of his Kansas campaign! I’m going to do everything I can to help our President get reelected. And come 2021, I’ll fight for his agenda in the U.S. Senate. One of the first things I’ve been asked to do is to put together a list of every person who supports President Trump in Kansas. ADD your name RIGHT NOW if you stand with President Trump!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 57.7/100 |
| Spend / Reach / Long. / Eff. | 52.4 · 92.5 · 20.7 · 65.3 |
| Spend range | USD 6,000–6,999 |
| Impressions | 450,000 – 499,999 |
| CPM (≈ $/1k impr) | USD 13.68 |
| Est. audience size | — |
| Days live | 76 (2019-11-08 → 2020-01-23) |
| Created | 2019-11-08 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | KS — Roger Marshall |
| Surfaced by | “senate:KS — Roger Marshall” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | list building survey |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | us flag |
| Call to action | sign petition |
| Standout element | Trump at a rally podium with bold red TRUMP sign as the anchor image, borrowed presidential prestige |
| Tactic | Classic coattail list-building tactic — Marshall leverages Trump's rally imagery and name to generate a supporter list under the guise of a presidential petition, collecting contacts for future campaign outreach. |
Where it ran (delivery by region)
| Kansas | 100.0% |
Who saw it (delivery)
| 65+ · female | 16.9% |
| 35-44 · male | 8.2% |
| 65+ · unknown | 0.2% |
| 25-34 · unknown | 0.1% |
| 18-24 · unknown | 0.0% |
| 35-44 · unknown | 0.1% |
| 45-54 · unknown | 0.1% |
| 55-64 · unknown | 0.1% |
| 25-34 · female | 3.8% |
| 55-64 · male | 11.9% |
| 35-44 · female | 3.5% |
| 18-24 · female | 3.0% |
| 45-54 · female | 5.3% |
| 18-24 · male | 6.6% |
| 55-64 · female | 9.8% |
| 45-54 · male | 9.3% |
| 25-34 · male | 9.8% |
| 65+ · male | 11.2% |
