WAHLS FOR IOWA
Hey, Zach Wahls here. I need to be direct. National Republicans just launched a six-figure TV ad buy to boost my opponent, Ashley Hinson in Iowa’s open Senate race. The newest poll shows that I can defeat Ashley Hinson and flip the Senate for Democrats…but I can’t do it alone. Will you please donate to help me fight back against this latest attack? We need a strong showing right now.
Hey, Zach Wahls here. I need to be direct. National Republicans just launched a six-figure TV ad buy to boost my opponent, Ashley Hinson in Iowa’s open Senate race. The newest poll shows that I can defeat Ashley Hinson and flip the Senate for Democrats…but I can’t do it alone. Will you please donate to help me fight back against this latest attack? We need a strong showing right now.
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 50.4/100 |
| Spend / Reach / Long. / Eff. | 47.8 · 81.7 · 11.6 · 60.5 |
| Spend range | USD 4,000–4,499 |
| Impressions | 150,000 – 174,999 |
| CPM (≈ $/1k impr) | USD 26.15 |
| Est. audience size | — |
| Days live | 43 (2025-10-07 → 2025-11-19) |
| Created | 2025-10-07 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IA — Zach Wahls |
| Surfaced by | “senate:Zach Wahls” |
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Email screenshot format creating an intimate, direct-to-voter personal appeal |
| Tactic | Uses an outgunned underdog framing — opponent's big-money ad buy as threat — to trigger urgency and grassroots donor solidarity. |
| Iowa | 67.5% |
| Illinois | 4.1% |
| Minnesota | 2.4% |
| California | 2.4% |
| Wisconsin | 1.7% |
| New York | 1.3% |
| Washington | 1.1% |
| 18-24 · female | 0.3% |
| 45-54 · male | 6.4% |
| 65+ · male | 10.0% |
| 65+ · female | 24.2% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 6.5% |
| 55-64 · female | 16.2% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 13.5% |
| 18-24 · male | 0.4% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 5.6% |
| 35-44 · female | 10.7% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 2.0% |
| 25-34 · female | 2.9% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.5% |