Sandy for Kansas US ● Active
SANDY FOR KANSAS
Ad copy
395. It’s been 395 days since Marshall walked out on his constituents at the Oakley town hall. He still hasn’t held a real town hall since. Kansas needs someone who: • Shows up for Kansans. • Ends the grift in Washington. • Delivers results for Kansas. That’s why I’m running. #sandyforkansas sandyforkansas.com
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 47.8/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 70.7 · 24.2 · 61.5 |
| Spend range | USD 1,000–1,499 |
| Impressions | 50,000 – 59,999 |
| CPM (≈ $/1k impr) | USD 22.72 |
| Est. audience size | — |
| Days live | 89 (2026-03-31 → active) |
| Created | 2026-03-31 |
| Creative variants | 1 body · 0 headline |
| Platforms | |
| Languages | — |
| Candidate | KS — Sandy Spidel Neumann |
| Surfaced by | “senate:Sandy Spidel Neumann” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | farm rural |
| Call to action | none |
| Standout element | Aerial drone shot of sun-drenched Kansas farmland anchoring a contrast attack on an absentee incumbent |
| Tactic | The ad weaponizes a specific day-count (395 days) to make the opponent's absence feel concrete and damning, then pivots to aspirational Kansas imagery to frame the candidate as the authentic alternative who 'shows up.' |
Where it ran (delivery by region)
| Texas | 7.8% |
| Florida | 6.1% |
| California | 6.1% |
| Kansas | 4.9% |
| Ohio | 4.6% |
| New York | 4.1% |
| Pennsylvania | 3.8% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 10.5% |
| 65+ · male | 28.0% |
| 65+ · female | 18.4% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 17.1% |
| 55-64 · female | 8.5% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 4.4% |
| 18-24 · male | 0.3% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 5.9% |
| 35-44 · female | 2.9% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 2.4% |
| 25-34 · female | 0.7% |
| 65+ · unknown | 0.2% |
