Josh Turek US Inactive
Josh Turek for Iowa
STOP SCROLLING & DONATE
Ad copy
It’s Josh Turek and I hope I got your attention! I’m the Democrat running to flip Iowa’s open Senate seat and I could use your help ASAP. I’m not accepting ANY money from corporate PACs, so I’m relying on folks like you to chip in whatever and whenever you can. Polls show me ahead of my Republican opponent Ashley Hinson. Will you pitch in $10 or more if you’re able to send me to D.C. and win the race that could decide Senate control?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 43.4/100 |
| Spend / Reach / Long. / Eff. | 43.1 · 66.9 · 10.7 · 52.8 |
| Spend range | USD 2,500–2,999 |
| Impressions | 35,000 – 39,999 |
| CPM (≈ $/1k impr) | USD 73.32 |
| Est. audience size | — |
| Days live | 40 (2026-04-20 → 2026-05-30) |
| Created | 2026-04-20 |
| 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 | none |
| Call to action | donate |
| Standout element | Poll graphic showing Turek leading Hinson 46%-45% with bold D+1 label creates immediate momentum signal |
| Tactic | Leverages a tight poll lead as social proof to trigger urgency-based small-dollar donations, reinforced by a no-corporate-PAC pledge to build grassroots trust. |
Where it ran (delivery by region)
| California | 13.0% |
| New York | 6.5% |
| Florida | 5.6% |
| Illinois | 5.4% |
| Texas | 5.2% |
| Washington | 4.0% |
| Massachusetts | 3.7% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 4.3% |
| 65+ · male | 24.6% |
| 65+ · female | 35.3% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 9.8% |
| 55-64 · female | 12.0% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.0% |
| 18-24 · male | 0.2% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 2.8% |
| 35-44 · female | 2.3% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 1.0% |
| 25-34 · female | 1.0% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.8% |
