Josh Turek US ● Active
Josh Turek for Iowa
Power our grassroots campaign >>
Ad copy
Hey, it’s Josh Turek. I’m running for Iowa’s open U.S. Senate seat and it’s a heavy lift. I'm up against a millionaire and her billionaire donors. And I’m not taking a single penny from corporate PACS. Many hands make light work. Will you help lighten the load by spotting my campaign just $5 today? I have a big fundraising deadline coming up and we have to show off our grassroots strength. 💪
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 47.1/100 |
| Spend / Reach / Long. / Eff. | 50.6 · 76.3 · 6.9 · 54.6 |
| Spend range | USD 5,000–5,999 |
| Impressions | 90,000 – 99,999 |
| CPM (≈ $/1k impr) | USD 57.89 |
| Est. audience size | — |
| Days live | 26 (2026-06-05 → active) |
| Created | 2026-06-05 |
| 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 | empathy |
| Production tier | diy amateur |
| Who pictured | candidate, veterans military |
| Symbols | none |
| Call to action | donate |
| Standout element | candidate in a wheelchair at a weightlifting gym, visually embodying the 'heavy lift' metaphor in the copy |
| Tactic | The ad cleverly fuses a literal gym setting with the 'heavy lift' fundraising metaphor while using the candidate's disability to humanize him and contrast his grassroots struggle against a wealthy opponent and her billionaire donors. |
Where it ran (delivery by region)
| California | 14.0% |
| Iowa | 7.4% |
| New York | 7.2% |
| Illinois | 5.0% |
| Texas | 4.7% |
| Florida | 4.6% |
| Massachusetts | 4.3% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · unknown | 0.1% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.9% |
| 65+ · male | 21.5% |
| 65+ · female | 39.5% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 8.3% |
| 55-64 · female | 11.9% |
| 45-54 · male | 4.1% |
| 18-24 · male | 0.1% |
| 45-54 · female | 4.8% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 3.2% |
| 35-44 · female | 2.9% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 1.1% |
| 25-34 · female | 1.1% |
| 18-24 · unknown | 0.0% |
| Unknown · male | 0.0% |
