SAGE FOR SENATE
Democratic U.S. Senate candidate Nathan Sage will be at the Des Moines County Historical Society in Burlington, Iowa on Sunday, June 8 from 7:00–9:00PM for a Meet and Greet. Raised in a trailer park in Mason City, Nathan’s a mechanic, marine, veteran of the War in Iraq, sports broadcaster, Knoxville Chamber of Commerce President, husband and father – who’s going to beat Joni Ernst in 2026. RSVP: https://tinyurl.com/ycav7x48
Democratic U.S. Senate candidate Nathan Sage will be at the Des Moines County Historical Society in Burlington, Iowa on Sunday, June 8 from 7:00–9:00PM for a Meet and Greet. Raised in a trailer park in Mason City, Nathan’s a mechanic, marine, veteran of the War in Iraq, sports broadcaster, Knoxville Chamber of Commerce President, husband and father – who’s going to beat Joni Ernst in 2026. RSVP: https://tinyurl.com/ycav7x48
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 23.8/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 34.4 · 1.9 · 58.7 |
| Spend range | <USD 99 |
| Impressions | 1,000 – 1,999 |
| CPM (≈ $/1k impr) | USD 33.01 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 8 (2025-05-31 → 2025-06-08) |
| Created | 2025-05-31 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | IA — Nathan Sage |
| Surfaced by | “senate:Nathan Sage” |
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | gotv mobilization |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | candidate, veterans military |
| Symbols | us flag, military |
| Call to action | learn more |
| Standout element | Candidate wearing a US flag hoodie against a dark dramatic sky, projecting everyman veteran credibility |
| Tactic | The ad leverages an authentic working-class biography — mechanic, marine, Iraq vet, trailer park upbringing — to build relatable grassroots credibility and frame Sage as an underdog challenger to Joni Ernst. |
| Iowa | 100.0% |
| 18-24 · female | 0.5% |
| 45-54 · male | 5.2% |
| 65+ · male | 8.1% |
| 65+ · female | 17.1% |
| 55-64 · unknown | 0.5% |
| 55-64 · male | 8.4% |
| 55-64 · female | 15.8% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 12.0% |
| 18-24 · male | 0.6% |
| 35-44 · unknown | 0.7% |
| 35-44 · male | 5.5% |
| 35-44 · female | 15.3% |
| 25-34 · unknown | 0.4% |
| 25-34 · male | 2.3% |
| 25-34 · female | 6.9% |
| 65+ · unknown | 0.6% |