Josh Turek for Iowa
Josh has the grit and determination it’ll take to beat Joni Ernst. Will you chip in today to help him win Iowa’s U.S. Senate seat?
A dark money group just rolled out a six-figure digital and TV ad campaign to keep Iowa’s Senate seat red. That sounds scary – and it is – but we’ll let you in on a little secret: They took this drastic step because 𝘵𝘩𝘦𝘺'𝘳𝘦 scared. They’re scared of our grassroots movement. They’re scared we received contributions from all 99 counties in Iowa. And they’re terrified that 97% of donations were $100 or less. Those are the stats of a truly grassroots movement. The D.C. calvary is coming in to rescue Ashley Hinson, but her record of failing Iowans speaks for itself. Will you rush a donation of $10 to help us show our Republican opponent that no amount of dark money can compete with the power of our grassroots movement?
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| Overall score | 47.2/100 |
| Spend / Reach / Long. / Eff. | 27.6 · 63.8 · 36.1 · 61.2 |
| Spend range | USD 600–699 |
| Impressions | 25,000 – 29,999 |
| CPM (≈ $/1k impr) | USD 23.62 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 132 (2025-10-30 → 2026-03-11) |
| Created | 2025-10-29 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IA — Josh Turek |
| Surfaced by | “senate:Josh Turek” |
| Issue | democracy elections |
| Framing | attack opponent |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | money cash, capitol statue |
| Call to action | donate |
| Standout element | Shadowy hooded puppet-master figures with money flying around them above the Capitol dome, creating an ominous conspiratorial atmosphere |
| Tactic | Classic fear-then-empowerment fundraising tactic: frame the opponent's spending as terrifying, then flip the script to claim it proves the grassroots movement is winning, driving urgency to donate. |
| Iowa | 100.0% |
| 18-24 · female | 0.2% |
| 45-54 · male | 5.2% |
| 65+ · male | 10.2% |
| 65+ · female | 27.0% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 5.7% |
| 55-64 · female | 17.8% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 12.4% |
| 18-24 · male | 0.3% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 4.2% |
| 35-44 · female | 10.7% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 2.0% |
| 25-34 · female | 2.9% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.6% |