Zach Wahls US Inactive
WAHLS FOR IOWA
Donate to Zach Wahls for U.S. Senate
Ad copy
We have breaking news out of Iowa: Donald Trump is trying to do damage control here because he knows his poll numbers are dropping. Iowans see rising prices everywhere we go, and Donald Trump and Ashley Hinson's policies are making it worse. Their tariffs are making life more expensive for everybody, and they cut $1 trillion from Medicaid and food assistance that hundreds of thousands of Iowans rely on. If you’re ready for a change, please consider supporting our campaign today.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 33.2/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 51.9 · 1.4 · 53.7 |
| Spend range | USD 500–599 |
| Impressions | 8,000 – 8,999 |
| CPM (≈ $/1k impr) | USD 64.65 |
| Est. audience size | — |
| Days live | 6 (2026-02-03 → 2026-02-09) |
| Created | 2026-02-03 |
| 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 | attack opponent |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Image failed to load — ad relies entirely on text copy attacking Trump and Hinson on tariffs and Medicaid cuts |
| Tactic | The copy uses a 'breaking news' hook to create urgency, then pivots to economic pain and healthcare cuts before issuing a fundraising ask, layering fear and anger to motivate donations. |
Where it ran (delivery by region)
| Iowa | 19.4% |
| California | 9.8% |
| Minnesota | 5.2% |
| New York | 5.0% |
| Florida | 4.8% |
| Illinois | 3.8% |
| Washington | 3.4% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 3.3% |
| 65+ · male | 21.0% |
| 65+ · female | 41.9% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 8.0% |
| 55-64 · female | 13.8% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.5% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 1.8% |
| 35-44 · female | 2.4% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.0% |
| 25-34 · female | 0.9% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.8% |
