Josh Turek US Inactive
Josh Turek for Iowa
Donate before the buzzer 🚨
Ad copy
I’m Josh Turek, and I’m ready to replace Joni Ernst and be Iowa’s defender in the U.S. Senate. As a former pro ball player, I like to move fast, so I'll make this quick: Will you chip in $25 to become a Founding Donor of my campaign today? Let’s win this thing.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 53.1/100 |
| Spend / Reach / Long. / Eff. | 41.0 · 72.4 · 40.8 · 58.4 |
| Spend range | USD 2,000–2,499 |
| Impressions | 60,000 – 69,999 |
| CPM (≈ $/1k impr) | USD 34.61 |
| Est. audience size | — |
| Days live | 149 (2025-10-13 → 2026-03-11) |
| 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 | candidate character bio |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | candidate, veterans military |
| Symbols | us flag, military |
| Call to action | donate |
| Standout element | Candidate in wheelchair wearing USA jersey on a basketball court, blending patriotism with athletic identity and disability representation |
| Tactic | The ad leverages a sports urgency metaphor ('before the buzzer') paired with the candidate's wheelchair-basketball backstory to make a personal, fast-paced fundraising ask that doubles as a character introduction. |
Where it ran (delivery by region)
| California | 15.2% |
| Texas | 6.5% |
| New York | 6.5% |
| Florida | 5.2% |
| Illinois | 4.7% |
| Pennsylvania | 3.6% |
| Washington | 3.6% |
Who saw it (delivery)
| 18-24 · female | 0.7% |
| 45-54 · male | 5.7% |
| 65+ · male | 13.7% |
| 65+ · female | 24.3% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 8.3% |
| 55-64 · female | 14.0% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 9.4% |
| 18-24 · male | 0.9% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 5.4% |
| 35-44 · female | 8.6% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 3.2% |
| 25-34 · female | 4.5% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.5% |
