Zach Wahls US Inactive
WAHLS FOR IOWA
Donate to Zach Wahls for U.S. Senate
Ad copy
We’ve got BIG news here in Iowa. I’m Zach Wahls, and Republicans just announced they’re spending $29,000,000 to bail out Ashley Hinson and keep this seat red. That tells you everything you need to know: they’re scared. Iowa is one of the best chances in the country to flip a Senate seat. But we’re up against massive spending from corporate PACs and dark money groups trying to drown us out. I don’t take corporate PAC money. This campaign is powered by people. If we’re going to fight back and win, I need your help. Can you chip in $15, $25, $50, or whatever you can today to help us flip this seat blue?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 40.2/100 |
| Spend / Reach / Long. / Eff. | 41.0 · 63.8 · 4.1 · 52.0 |
| Spend range | USD 2,000–2,499 |
| Impressions | 25,000 – 29,999 |
| CPM (≈ $/1k impr) | USD 81.8 |
| Est. audience size | — |
| Days live | 16 (2026-04-14 → 2026-04-30) |
| Created | 2026-04-14 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IA — Zach Wahls |
| Surfaced by | “senate:Zach Wahls” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Casual selfie-style video frame with candidate in a worn baseball cap projecting authentic everyman credibility |
| Tactic | The ad weaponizes the opponent's $29M spending announcement as proof of Republican fear, converting a sign of disadvantage into a grassroots urgency fundraising trigger. |
Where it ran (delivery by region)
| Iowa | 48.6% |
| California | 7.2% |
| Illinois | 4.3% |
| Minnesota | 2.8% |
| Florida | 2.7% |
| New York | 2.7% |
| Washington | 2.3% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 1.4% |
| 65+ · male | 21.4% |
| 65+ · female | 50.8% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 5.8% |
| 55-64 · female | 13.4% |
| 45-54 · unknown | 0.0% |
| 45-54 · female | 2.9% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 0.9% |
| 35-44 · female | 1.2% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.4% |
| 25-34 · female | 0.5% |
| 65+ · unknown | 0.8% |
