Nathan Sage for U.S. Senate US Inactive
SAGE FOR SENATE
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Ad copy
Iowans deserve a seat at the table, not scraps from billionaire-bought DC insiders. I’m running a people-powered campaign to flip this Senate seat. Chip in today and help us send our working class movement to Washington!
Will you make a donation to my campaign today?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 31.2/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 49.2 · 0.6 · 57.6 |
| Spend range | USD 200–299 |
| Impressions | 6,000 – 6,999 |
| CPM (≈ $/1k impr) | USD 38.39 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 3 (2025-12-26 → 2025-12-29) |
| Created | 2025-12-23 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IA — Nathan Sage |
| Surfaced by | “senate:Nathan Sage” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | candidate, workers labor |
| Symbols | none |
| Call to action | donate |
| Standout element | tattooed candidate in black shirt speaking directly to camera against a plain wall with campaign sign — deliberately unpolished authenticity |
| Tactic | The raw, no-frills video selfie format reinforces the 'people-powered vs. billionaire insiders' populist contrast, making the low production value itself a persuasion tactic signaling authenticity and grassroots credibility. |
Where it ran (delivery by region)
| California | 16.9% |
| Texas | 6.6% |
| Illinois | 5.7% |
| New York | 4.9% |
| Minnesota | 4.3% |
| Washington | 3.9% |
| Pennsylvania | 3.3% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · male | 10.2% |
| 65+ · male | 17.8% |
| 65+ · female | 23.9% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 15.3% |
| 55-64 · female | 12.3% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 4.6% |
| 18-24 · male | 0.9% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 7.3% |
| 35-44 · female | 2.7% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 2.8% |
| 25-34 · female | 0.8% |
| 65+ · unknown | 0.3% |
