Josh Turek US Inactive
Josh Turek for Iowa
Donate to help flip this must-win seat!
Ad copy
Hey folks, Democrat Josh Turek here. I’m hitting the road with my team to spread our message to folks in every corner of Iowa, and I need your help. I’m asking you to make a grassroots contribution to my campaign today – every dollar helps us go another mile, reach another county, talk to another Iowan about how we can push for change and flip Iowa’s open U.S. Senate seat. If you’re with me, will you chip in $5, $10 – whatever you can spare – today?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 50.8/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 68.1 · 40.8 · 59.6 |
| Spend range | USD 1,000–1,499 |
| Impressions | 40,000 – 44,999 |
| CPM (≈ $/1k impr) | USD 29.4 |
| Est. audience size | 100,001 – 500,000 |
| 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 | other |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Selfie-style video from inside a vehicle conveying authentic on-the-road campaigning |
| Tactic | DIY selfie video format creates an intimate, authentic appeal that signals grassroots authenticity to donors while the urgency-driven 'must-win seat' framing motivates small-dollar contributions. |
Where it ran (delivery by region)
| Iowa | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.5% |
| 45-54 · male | 5.2% |
| 65+ · male | 11.0% |
| 65+ · female | 25.8% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 7.0% |
| 55-64 · female | 16.5% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 11.9% |
| 18-24 · male | 0.6% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 4.7% |
| 35-44 · female | 9.8% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 2.2% |
| 25-34 · female | 3.5% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.5% |
