Josh Turek US Inactive
Josh Turek for Iowa
Help Josh Fight Back!
Ad copy
Josh Turek here with some news – Republican Senator Joni Ernst officially endorsed my opponent, Ashley Hinson, in the race for Iowa’s U.S. Senate seat. Hinson already has the backing of wealthy extremist donors, but Ernst’s endorsement gives dark money groups and National Republicans an even stronger signal to funnel loads of money into Iowa to try to hang onto this must-win seat and their Senate majority. This race just got even more competitive. Will you rush $25 to defeat Hinson and flip Iowa’s Senate seat?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 44.4/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 70.7 · 10.5 · 61.5 |
| Spend range | USD 1,000–1,499 |
| Impressions | 50,000 – 59,999 |
| CPM (≈ $/1k impr) | USD 22.72 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 39 (2026-01-30 → 2026-03-10) |
| Created | 2026-01-29 |
| 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 |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate in wheelchair in a suit delivering direct-to-camera message with bold yellow-on-black subtitle text |
| Tactic | The ad uses an urgent fundraising appeal framed around a newsworthy endorsement event to manufacture competitive momentum and trigger immediate small-dollar donations via an ActBlue link. |
Where it ran (delivery by region)
| Iowa | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.3% |
| 45-54 · male | 4.9% |
| 65+ · male | 8.9% |
| 65+ · female | 25.9% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 5.5% |
| 55-64 · female | 17.2% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 13.9% |
| 18-24 · male | 0.3% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 4.4% |
| 35-44 · female | 12.0% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.9% |
| 25-34 · female | 3.7% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.4% |
