State Representative Josh Turek US Inactive
Josh Turek for Iowa
Donate before the buzzer 🚨
Ad copy
I’m Josh Turek, and I’m ready to defeat 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 | 44.9/100 |
| Spend / Reach / Long. / Eff. | 44.9 · 73.9 · 4.1 · 56.7 |
| Spend range | USD 3,000–3,499 |
| Impressions | 70,000 – 79,999 |
| CPM (≈ $/1k impr) | USD 43.33 |
| Est. audience size | — |
| Days live | 16 (2025-08-12 → 2025-08-28) |
| Created | 2025-08-11 |
| 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 | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | basketball shoot-the-buzzer-beater metaphor visually reinforcing the fundraising urgency deadline |
| Tactic | The ad cleverly leverages the candidate's pro basketball background to create a sports urgency metaphor ('donate before the buzzer'), making the fundraising ask feel dynamic and time-sensitive rather than transactional. |
Where it ran (delivery by region)
| California | 13.2% |
| Texas | 5.8% |
| Illinois | 5.7% |
| New York | 5.1% |
| Washington | 4.4% |
| Minnesota | 4.2% |
| Michigan | 4.0% |
Who saw it (delivery)
| 18-24 · female | 0.4% |
| 45-54 · male | 4.5% |
| 65+ · male | 11.7% |
| 65+ · female | 29.4% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 8.2% |
| 55-64 · female | 17.5% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 10.2% |
| 18-24 · male | 0.5% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 3.8% |
| 35-44 · female | 7.0% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 2.2% |
| 25-34 · female | 3.1% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.6% |
