ERIK MURRAY FOR KANSAS
Billionaires are a structural problem in a democracy in a way most millionaires simply are not. A millionaire can be a doctor, a small business owner, a lawyer, or someone who spent decades building something valuable in their community. In many parts of the country, especially in major cities, a million dollars in assets no longer represents unimaginable wealth. Billionaires exist in a different category entirely. At that scale, wealth becomes political power, media influence, lobbying power, and institutional leverage. When too much economic power concentrates into too few hands, democratic institutions start competing with private empires. That doesn’t mean success is bad. It means a healthy country needs strong public institutions capable of balancing concentrated private power. We should want people to succeed. We should also want a system where working families can still afford housing, healthcare, education, and a future. - Erik🇺🇸
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| Overall score | 34.2/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 55.8 · 2.8 · 66.3 |
| Spend range | USD 100–199 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 11.96 |
| Est. audience size | — |
| Days live | 11 (2026-05-12 → 2026-05-23) |
| Created | 2026-05-12 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | KS — Erik Murray |
| Surfaced by | “senate:Erik Murray” |
| Issue | democracy elections |
| Framing | issue advocacy |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | us flag, money cash |
| Call to action | none |
| Standout element | bold white lower-third stat graphic 'WOULD TAKE YOU 31.7' over a close-up podcast-style talking-head shot with US flag pin |
| Tactic | Uses a podcast/direct-to-camera format to build credibility and intimacy while framing billionaire wealth as an existential threat to democracy, appealing to populist anger across partisan lines. |
| Kansas | 68.3% |
| Missouri | 31.7% |
| 18-24 · female | 0.3% |
| 45-54 · male | 9.0% |
| 65+ · male | 13.9% |
| 65+ · female | 17.9% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 10.6% |
| 55-64 · female | 10.4% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 7.3% |
| 18-24 · male | 1.1% |
| 35-44 · unknown | 0.3% |
| 35-44 · male | 10.8% |
| 35-44 · female | 6.4% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 8.0% |
| 25-34 · female | 2.9% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.5% |