Noah Taylor US Inactive
Noah Taylor for Kansas
Ad copy
I was an Army infantry grunt. I know what forever wars cost. We can’t let Kansas kids become bargaining chips while the powerful profit. So I’m running for U.S. Senate to defeat Roger Marshall. If you’re with me, share this video.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 33.6/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 55.8 · 0.3 · 66.3 |
| Spend range | USD 100–199 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 11.96 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 2 (2026-03-22 → 2026-03-24) |
| Created | 2026-03-22 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | KS — Noah Taylor |
| Surfaced by | “senate:Noah Taylor” |
🧠 AI analysis
| Issue | foreign policy defense |
| Framing | contrast comparison |
| Message type | awareness |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | candidate, veterans military |
| Symbols | military, farm rural |
| Call to action | none |
| Standout element | Bold white all-caps contrast framing candidate as everyman grunt versus Washington elites, overlaid on a misty rural Kansas field |
| Tactic | The ad uses a classic populist contrast frame — military-credentialed outsider vs. entrenched power — to neutralize the 'Democrat in Kansas' liability by rebranding the candidate as an anti-elite warrior rather than a partisan figure. |
Where it ran (delivery by region)
| California | 15.8% |
| New York | 10.7% |
| Texas | 5.9% |
| Illinois | 4.8% |
| New Jersey | 4.4% |
| Massachusetts | 3.9% |
| Washington | 3.7% |
Who saw it (delivery)
| 18-24 · female | 0.6% |
| 45-54 · male | 11.7% |
| 65+ · unknown | 0.5% |
| 65+ · male | 10.3% |
| 65+ · female | 15.3% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 9.6% |
| 55-64 · female | 9.7% |
| 45-54 · unknown | 0.3% |
| 45-54 · female | 8.7% |
| 18-24 · male | 1.2% |
| 35-44 · unknown | 0.3% |
| 35-44 · male | 13.6% |
| 35-44 · female | 7.9% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 7.0% |
| 25-34 · female | 3.0% |
| 18-24 · unknown | 0.0% |
| Unknown · male | 0.0% |
