Zach Wahls US Inactive
WAHLS FOR IOWA
Zach Wahls for U.S. Senate
Ad copy
🚨Breaking news: Joni Ernst will not seek re-election! The seat is now WIDE OPEN and Zach Wahls is ready to flip it blue. Zach was the only candidate to beat Joni in the latest poll. Now, with her gone, he’s the best positioned to take on this open seat and help Democrats regain the Majority. If you’re ready for the biggest blue wave we’ve ever seen, donate today.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 44.3/100 |
| Spend / Reach / Long. / Eff. | 44.9 · 69.3 · 9.6 · 53.3 |
| Spend range | USD 3,000–3,499 |
| Impressions | 45,000 – 49,999 |
| CPM (≈ $/1k impr) | USD 68.41 |
| Est. audience size | — |
| Days live | 36 (2025-09-02 → 2025-10-08) |
| Created | 2025-09-02 |
| 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 | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate surrounded by his own campaign yard signs as a makeshift backdrop, projecting grassroots energy |
| Tactic | The ad leverages breaking news framing and a poll-based electability argument to create urgency and drive immediate donations from Democratic base voters energized by an open seat opportunity. |
Where it ran (delivery by region)
| Iowa | 19.9% |
| California | 12.4% |
| New York | 5.5% |
| Texas | 4.6% |
| Florida | 4.1% |
| Illinois | 4.0% |
| Washington | 3.1% |
Who saw it (delivery)
| 18-24 · female | 0.3% |
| 45-54 · male | 5.0% |
| 65+ · male | 19.0% |
| 65+ · female | 33.5% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 9.5% |
| 55-64 · female | 13.1% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 6.0% |
| 18-24 · male | 0.5% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 3.9% |
| 35-44 · female | 4.0% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.9% |
| 25-34 · female | 2.0% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.6% |
