WAHLS FOR IOWA
Hi, I’m Chloe, Zach’s wife. Right now, Zach is just two points behind his extreme MAGA opponent, Ashley Hinson. He's up big in the primary and is ready to win, all while not taking a dime of corporate PAC money. But the billionaires that are trying to buy this race are watching our campaign, and they’re looking for any sign of weakness, which is why the March 31st fundraising deadline matters so much. It’s our next big test. We can win this U.S. Senate seat back. We can flip the Senate. We can hold Trump accountable. But we need your help to do it. Please donate $5, $10, anything you can spare to this campaign. And let’s go win this thing!
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 35.0/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 55.8 · 1.7 · 56.6 |
| Spend range | USD 500–599 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 43.96 |
| Est. audience size | — |
| Days live | 7 (2026-03-26 → 2026-04-02) |
| Created | 2026-03-25 |
| Creative variants | 1 body · 1 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 | diy amateur |
| Who pictured | family children |
| Symbols | money cash |
| Call to action | donate |
| Standout element | selfie-style video of candidate's wife creating intimate peer-to-peer authenticity |
| Tactic | Spouse messenger lends personal credibility while urgency framing around a fundraising deadline and billionaire opposition attempts to convert empathy and competitive momentum into immediate small-dollar donations. |
| Iowa | 53.7% |
| California | 5.5% |
| Illinois | 3.1% |
| Florida | 3.1% |
| New York | 2.8% |
| Texas | 2.2% |
| Michigan | 1.8% |
| 18-24 · female | 0.3% |
| 45-54 · male | 3.8% |
| 65+ · male | 17.4% |
| 65+ · female | 37.2% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 6.5% |
| 55-64 · female | 14.6% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 7.6% |
| 18-24 · male | 0.3% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 3.1% |
| 35-44 · female | 4.6% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.5% |
| 25-34 · female | 1.8% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.8% |