Zach Wahls US Inactive
WAHLS FOR IOWA
Zach Wahls for U.S. Senate
Zach Wahls is running to be Iowa’s next U.S. Senator! Donate now.
Ad copy
Zach Wahls is running for U.S. Senate because he knows the Senate Majority runs through Iowa. We take this seat back from corrupt corporate politicians, but we need your help! Here's the reality: Iowa will decide the Senate majority in 2026. Mitch McConnell’s Super PAC and dark money groups will spend whatever it takes to defeat us. And that’s why we have to ask for your support. Zach isn’t taking a cent from corporate PACs. His campaign relies on grassroots supporters like you. If you’re ready for a blue Iowa, chip in today.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 33.2/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 53.0 · 0.8 · 57.9 |
| Spend range | USD 300–399 |
| Impressions | 9,000 – 9,999 |
| CPM (≈ $/1k impr) | USD 36.79 |
| Est. audience size | — |
| Days live | 4 (2025-09-11 → 2025-09-15) |
| Created | 2025-09-11 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IA — Zach Wahls |
| Surfaced by | “senate:Zach Wahls” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate, opponent |
| Symbols | none |
| Call to action | donate |
| Standout element | Dark silhouette of opponent juxtaposed against smiling candidate with bold 'FLIP IOWA BLUE' text |
| Tactic | The contrast between the ominous dark silhouette representing corrupt corporate politicians and the bright, smiling candidate creates a classic good-vs-evil framing to drive grassroots fundraising urgency. |
Where it ran (delivery by region)
| Iowa | 48.7% |
| California | 7.6% |
| Illinois | 3.4% |
| Texas | 3.0% |
| New York | 2.7% |
| Florida | 2.6% |
| Washington | 2.0% |
Who saw it (delivery)
| 18-24 · female | 0.4% |
| 45-54 · male | 4.7% |
| 65+ · male | 19.3% |
| 65+ · female | 35.6% |
| 55-64 · unknown | 0.4% |
| 55-64 · male | 8.2% |
| 55-64 · female | 11.8% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 6.4% |
| 18-24 · male | 0.5% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 3.0% |
| 35-44 · female | 4.4% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 1.9% |
| 25-34 · female | 2.0% |
| 18-24 · unknown | 0.2% |
| 65+ · unknown | 0.7% |
