Josh Turek US Inactive
Josh Turek for Iowa
Fight back against the MAGA attack!
Ad copy
🚨BREAKING – Senate Republicans released an ad attacking Josh in effort to keep Iowa’s Senate seat red 🚨 We need YOUR help to fight back against the dark money misinformation spewing across the state. Will you rush a $10 donation to help us counter these ads and win the Senate race that could determine power on Capitol Hill? Victory here IS possible so long as we have the resources to fight back.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 52.3/100 |
| Spend / Reach / Long. / Eff. | 41.0 · 73.9 · 34.7 · 59.5 |
| Spend range | USD 2,000–2,499 |
| Impressions | 70,000 – 79,999 |
| CPM (≈ $/1k impr) | USD 29.99 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 127 (2025-11-04 → 2026-03-11) |
| Created | 2025-11-04 |
| 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 | diy amateur |
| Who pictured | candidate |
| Symbols | farm rural |
| Call to action | donate |
| Standout element | Selfie-style video filmed in front of Stuart, Iowa water tower grounding candidate in small-town Iowa authenticity |
| Tactic | Classic fundraising urgency tactic — a 'we are under attack' frame that transforms opponent's negative ad into a donation trigger, using grassroots DIY aesthetics to reinforce authenticity against 'dark money' contrast. |
Where it ran (delivery by region)
| Iowa | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.6% |
| 45-54 · male | 5.9% |
| 65+ · male | 9.3% |
| 65+ · female | 22.3% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 7.0% |
| 55-64 · female | 16.0% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 12.5% |
| 18-24 · male | 0.7% |
| 35-44 · unknown | 0.3% |
| 35-44 · male | 5.8% |
| 35-44 · female | 11.1% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 3.0% |
| 25-34 · female | 4.5% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.4% |
