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. 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 | 46.1/100 |
| Spend / Reach / Long. / Eff. | 50.6 · 69.3 · 14.9 · 49.4 |
| Spend range | USD 5,000–5,999 |
| Impressions | 45,000 – 49,999 |
| CPM (≈ $/1k impr) | USD 115.78 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 55 (2026-01-31 → 2026-03-27) |
| Created | 2026-01-29 |
| 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 | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | candidate walking purposefully down a wide government building corridor toward camera, conveying momentum and determination |
| Tactic | The ad uses a direct, no-corporate-PAC populist appeal combined with urgency framing ('ASAP,' 'STOP SCROLLING') and a Senate-control stakes argument to convert casual scrollers into small-dollar donors. |
Where it ran (delivery by region)
| California | 16.7% |
| New York | 7.1% |
| Florida | 6.6% |
| Texas | 4.9% |
| Illinois | 4.7% |
| Washington | 4.1% |
| Massachusetts | 3.6% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · male | 2.5% |
| 65+ · unknown | 0.7% |
| 65+ · male | 13.1% |
| 65+ · female | 43.6% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 5.1% |
| 55-64 · female | 17.2% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 7.9% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 1.7% |
| 35-44 · female | 4.6% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 0.7% |
| 25-34 · female | 2.0% |
| 18-24 · unknown | 0.0% |
| Unknown · female | 0.0% |
