Josh Turek US ● Active
Josh Turek for Iowa
Level the playing field!
Ad copy
Hey, it’s Josh Turek, the official Democratic nominee for Senate here in Iowa. I couldn’t have won my primary without the support of folks like you. 𝙏𝙝𝙖𝙣𝙠 𝙮𝙤𝙪. Now, we’re rolling into the next stage of this battleground race and I’m relying on your support more than ever. My Republican opponent Ashley Hinson and her dark money Republican Super PACs have a massive war chest and cash-on-hand advantage. That means we don’t have any time to waste. If we’re going to win we need to have the resources to compete ASAP. Can we count on you to chip in right away to help us hit our Founding Donor goal and ensure we can immediately ramp up our operations?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 44.2/100 |
| Spend / Reach / Long. / Eff. | 43.1 · 70.7 · 7.2 · 55.6 |
| Spend range | USD 2,500–2,999 |
| Impressions | 50,000 – 59,999 |
| CPM (≈ $/1k impr) | USD 49.99 |
| Est. audience size | — |
| Days live | 27 (2026-06-04 → active) |
| Created | 2026-06-04 |
| 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 | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate in wheelchair speaking directly to camera in a casual suburban yard, humanizing and disarming |
| Tactic | The ad uses a personal thank-you combined with urgency about a dark money funding gap to convert primary supporters into general election donors via an ActBlue link. |
Where it ran (delivery by region)
| California | 14.5% |
| New York | 6.7% |
| Illinois | 5.7% |
| Texas | 5.7% |
| Florida | 5.6% |
| Washington | 3.6% |
| Minnesota | 3.6% |
Who saw it (delivery)
| 18-24 · female | 0.4% |
| 45-54 · unknown | 0.1% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.7% |
| 65+ · male | 19.1% |
| 65+ · female | 37.3% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 8.0% |
| 55-64 · female | 12.0% |
| 45-54 · male | 4.7% |
| 18-24 · male | 1.1% |
| 45-54 · female | 5.2% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 3.7% |
| 35-44 · female | 3.4% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 2.2% |
| 25-34 · female | 1.7% |
| 18-24 · unknown | 0.0% |
| Unknown · male | 0.0% |
