Nathan Sage for U.S. Senate US Inactive
SAGE FOR SENATE
Ad copy
First it was the tariffs, now it’s a $40 billion bailout to Argentina. At a time when Big Ag is already squeezing small farmers out of business, @hinsonforiowa and this administration’s trade policies are A SLAP IN THE FACE of the working class Iowans who feed this country. We should be creating fair markets for our farmers, not bailing out our competitors and making billionaires richer.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 29.4/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 45.5 · 0.0 · 54.9 |
| Spend range | USD 200–299 |
| Impressions | 4,000 – 4,999 |
| CPM (≈ $/1k impr) | USD 55.45 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 1 (2025-10-25 → 2025-10-26) |
| Created | 2025-10-24 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IA — Nathan Sage |
| Surfaced by | “senate:Nathan Sage” |
🧠 AI analysis
| Issue | agriculture rural |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | farm rural, money cash |
| Call to action | donate |
| Standout element | Aerial drone shot of Iowa crop rows as the dark backdrop behind bold gold-and-white candidate logo |
| Tactic | The ad uses economic populist anger — tariffs and a $40B Argentina bailout framed as betrayal of small Iowa farmers — to contrast Sage as the champion of the working class against a captured incumbent and Big Ag interests. |
Where it ran (delivery by region)
| California | 15.8% |
| Iowa | 8.1% |
| Texas | 6.6% |
| New York | 5.6% |
| Florida | 5.2% |
| Illinois | 5.1% |
| New Jersey | 3.4% |
Who saw it (delivery)
| 18-24 · female | 0.9% |
| 45-54 · male | 11.0% |
| 65+ · male | 10.8% |
| 65+ · female | 18.0% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 10.3% |
| 55-64 · female | 10.6% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 6.3% |
| 18-24 · male | 3.7% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 12.2% |
| 35-44 · female | 5.5% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 7.1% |
| 25-34 · female | 2.4% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.4% |
