Josh Turek US Inactive
Josh Turek for Iowa
Donate to Flip Iowa’s Senate Seat
Ad copy
I’m Josh Turek. I just launched my campaign to replace Joni Ernst in the U.S. Senate. Experts are calling Iowa’s Senate seat one of the most likely to flip in 2026, and control of the entire Senate could hinge on the outcome of this race. It won’t be easy, but I won a Trump district in the Iowa State House – that I was told would be impossible for a Democrat to win – by 6 votes. Winning Iowa’s U.S. Senate race is another so-called “impossible” task. But I know that I have the grit and guts to replace Joni Ernst next year. If you’re with me, will you donate today?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 43.4/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 55.8 · 35.3 · 56.6 |
| Spend range | USD 500–599 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 43.96 |
| Est. audience size | — |
| Days live | 129 (2025-10-13 → 2026-02-19) |
| Created | 2025-10-13 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IA — Josh Turek |
| Surfaced by | “senate:Josh Turek” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate, opponent |
| Symbols | none |
| Call to action | donate |
| Standout element | Breaking news chyron framing Ernst dropping out as a fait accompli to create urgency |
| Tactic | The ad borrows a breaking-news visual format to manufacture urgency around Ernst's retirement, pairing a fundraising deadline progress bar with a contrast of a smiling Turek against a desaturated, downcast Ernst to drive immediate donations. |
Where it ran (delivery by region)
| California | 13.8% |
| New York | 6.9% |
| Washington | 5.0% |
| Illinois | 4.5% |
| Texas | 4.4% |
| Massachusetts | 4.4% |
| Florida | 4.3% |
Who saw it (delivery)
| 18-24 · female | 0.0% |
| 45-54 · male | 3.2% |
| 65+ · male | 42.3% |
| 65+ · female | 30.1% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 11.4% |
| 55-64 · female | 7.0% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 2.0% |
| 18-24 · male | 0.0% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 1.4% |
| 35-44 · female | 0.7% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.3% |
| 25-34 · female | 0.3% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.8% |
