WAHLS FOR IOWA
Hey, Zach Wahls here. I need to be direct. National Republicans just dropped a six-figure TV ad buy to boost my opponent, Ashley Hinson. They’re pouring money into Iowa because they know this race could flip the Senate. The latest poll shows I can win, but only if we fight back right now. Will you rush in a donation before midnight to help me counter this attack and keep Iowa’s Senate seat in reach?
Hey, Zach Wahls here. I need to be direct. National Republicans just dropped a six-figure TV ad buy to boost my opponent, Ashley Hinson. They’re pouring money into Iowa because they know this race could flip the Senate. The latest poll shows I can win, but only if we fight back right now. Will you rush in a donation before midnight to help me counter this attack and keep Iowa’s Senate seat in reach?
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| Overall score | 53.6/100 |
| Spend / Reach / Long. / Eff. | 59.4 · 87.0 · 11.6 · 56.4 |
| Spend range | USD 10,000–14,999 |
| Impressions | 250,000 – 299,999 |
| CPM (≈ $/1k impr) | USD 45.45 |
| Est. audience size | — |
| Days live | 43 (2025-10-24 → 2025-12-06) |
| Created | 2025-10-24 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IA — Zach Wahls |
| Surfaced by | “senate:Zach Wahls” |
| Issue | democracy elections |
| Framing | attack opponent |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | us flag |
| Call to action | donate |
| Standout element | Split Fox News screenshot pairing Ashley Hinson with Tom Cotton to nationalize the threat |
| Tactic | Classic 'outside money is coming' fundraising tactic using a news screenshot as proof of danger to manufacture urgency and drive midnight-deadline donations. |
| Iowa | 22.2% |
| California | 8.5% |
| Florida | 4.9% |
| Illinois | 4.5% |
| Texas | 4.3% |
| New York | 3.9% |
| Pennsylvania | 3.0% |
| 18-24 · female | 0.1% |
| 45-54 · male | 6.0% |
| 65+ · male | 25.7% |
| 65+ · female | 28.2% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 11.9% |
| 55-64 · female | 12.1% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.6% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 3.7% |
| 35-44 · female | 3.2% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.3% |
| 25-34 · female | 0.9% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.7% |