Josh Turek US Inactive
Josh Turek for Iowa
Donations NEEDED
Ad copy
BREAKING: A new poll in Iowa’s U.S. Senate race shows Democrat Josh Turek TIED with Republican Ashley Hinson. The far-right money machine has already spent $500,000+ to keep a stranglehold on Iowa and their Senate majority – and after this polling, we can expect a new surge of dark money in this race. This poll is our best chance to seize the narrative and the moment. We’re counting on your help to win the Democratic primary and flip this vital open Senate seat. So please: Will you rush $25 to help us build a powerhouse campaign, connect with voters statewide, and win in November?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 46.5/100 |
| Spend / Reach / Long. / Eff. | 50.6 · 70.7 · 14.0 · 50.5 |
| Spend range | USD 5,000–5,999 |
| Impressions | 50,000 – 59,999 |
| CPM (≈ $/1k impr) | USD 99.99 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 52 (2026-04-08 → 2026-05-30) |
| Created | 2026-04-06 |
| 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 | semi pro |
| Who pictured | candidate, opponent |
| Symbols | money cash |
| Call to action | donate |
| Standout element | Side-by-side tied poll graphic with bold 'TIED' in white on blue, paired with candidate in wheelchair video still |
| Tactic | Uses a momentum-based urgency tactic — framing a tied poll as both a threat (incoming dark money) and an opportunity, pushing immediate donation to seize the moment. |
Where it ran (delivery by region)
| California | 15.9% |
| New York | 7.0% |
| Florida | 6.4% |
| Illinois | 5.0% |
| Texas | 5.0% |
| Washington | 3.9% |
| Massachusetts | 3.8% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · unknown | 0.1% |
| 65+ · unknown | 0.8% |
| 65+ · male | 16.5% |
| 65+ · female | 44.0% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 6.2% |
| 55-64 · female | 15.5% |
| 45-54 · male | 2.8% |
| 18-24 · male | 0.1% |
| 45-54 · female | 6.4% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 1.7% |
| 35-44 · female | 3.3% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 0.6% |
| 25-34 · female | 1.4% |
| Unknown · female | 0.0% |
