Nathan Sage for U.S. Senate US Inactive
SAGE FOR SENATE
Important Message from Nathan Sage
I’m not taking money from corporate PACs, so no amount is too small.
Ad copy
Please, will you make a monthly donation to our campaign now – every dollar you can afford before our FEC deadline – to help me flip Iowa blue and take back the Senate for Democrats? Nathan Sage
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 37.4/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 59.2 · 1.4 · 50.5 |
| Spend range | USD 1,500–1,999 |
| Impressions | 15,000 – 19,999 |
| CPM (≈ $/1k impr) | USD 99.97 |
| Est. audience size | — |
| Days live | 6 (2025-09-25 → 2025-10-01) |
| Created | 2025-09-25 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IA — Nathan Sage |
| Surfaced by | “senate:Nathan Sage” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | farm rural, family |
| Call to action | donate |
| Standout element | Candidate with visible tattoos in casual polo with campaign button standing in a backyard garden setting — deliberately everyman and unpolished |
| Tactic | FEC deadline urgency combined with a personal direct-to-camera appeal and anti-corporate PAC pledge creates a classic small-donor grassroots fundraising pressure tactic designed to convert sympathy into immediate action. |
Where it ran (delivery by region)
| Iowa | 25.8% |
| California | 9.1% |
| New York | 4.4% |
| Illinois | 4.3% |
| Texas | 3.6% |
| Florida | 3.6% |
| Washington | 3.1% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · male | 4.6% |
| 65+ · male | 18.9% |
| 65+ · female | 34.3% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 9.3% |
| 55-64 · female | 13.5% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 6.0% |
| 18-24 · male | 0.6% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 3.9% |
| 35-44 · female | 3.6% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 2.0% |
| 25-34 · female | 1.5% |
| 65+ · unknown | 0.8% |
