Josh Turek US Inactive
Josh Turek for Iowa
Flip Iowa Blue!
Flip Iowa Blue!
Ad copy
S.O.S: We need YOUR help and QUICK! Josh Turek just became the OFFICIAL Democratic nominee for Iowa’s open U.S. Senate seat. But, it’s going to be an uphill battle to flip this seat and we’re counting on grassroots supporters like you to help us push for change. Josh takes $0 from corporate PACs. Will you pitch in a grassroots donation ASAP to win in Iowa and secure the Democratic majority?
S.O.S: We need YOUR help and QUICK! Josh Turek just became the OFFICIAL Democratic nominee for Iowa’s open U.S. Senate seat. But, it’s going to be an uphill battle to flip this seat and we’re counting on grassroots supporters like you to help us push for change. Josh takes $0 from corporate PACs. Will you pitch in a grassroots donation ASAP to win in Iowa and secure the Democratic majority?
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Performance proxies
| Overall score | 45.7/100 |
| Spend / Reach / Long. / Eff. | 43.1 · 75.1 · 5.8 · 58.9 |
| Spend range | USD 2,500–2,999 |
| Impressions | 80,000 – 89,999 |
| CPM (≈ $/1k impr) | USD 32.35 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 22 (2026-06-03 → 2026-06-25) |
| Created | 2026-06-01 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IA — Josh Turek |
| Surfaced by | “senate:Josh Turek” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | issue advocacy |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | money cash |
| Call to action | donate |
| Standout element | Red '$40 million+' figure highlighting GOP dark money threat on dark background |
| Tactic | Classic grassroots vs. dark money contrast tactic creates urgency by framing the race as a David-vs-Goliath fundraising battle to motivate small-dollar donations. |
Where it ran (delivery by region)
| Iowa | 100.0% |
Who saw it (delivery)
| 18-24 · female | 1.6% |
| 45-54 · male | 5.1% |
| 65+ · male | 8.1% |
| 65+ · female | 20.5% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 5.0% |
| 55-64 · female | 12.9% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 12.1% |
| 18-24 · male | 1.8% |
| 35-44 · unknown | 0.3% |
| 35-44 · male | 6.1% |
| 35-44 · female | 13.2% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 4.5% |
| 25-34 · female | 7.5% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.4% |
