Zach Wahls US Inactive
WAHLS FOR IOWA
“Wahls is our best bet to beat Hinson,” says Dave Loebsack
Guest Column | Dave Loebsack
Ad copy
Zach Wahls is the Democrat who can beat Ashley Hinson in November. Former Congressman Dave Loebsack knows what it takes to win tough races in Iowa — and that’s why he’s backing Zach Wahls in this important election. Here’s what he had to say about Zach: “If you want a Democrat who will take on Ashley Hinson and fight to lower costs and clean up this broken system, Zach is the choice.” Read more →
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 40.0/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 68.1 · 2.8 · 71.6 |
| Spend range | USD 200–299 |
| Impressions | 40,000 – 44,999 |
| CPM (≈ $/1k impr) | USD 5.87 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 11 (2026-03-19 → 2026-03-30) |
| Created | 2026-03-18 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IA — Zach Wahls |
| Surfaced by | “senate:Zach Wahls” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | learn more |
| Standout element | Torn-paper newspaper clipping style featuring The Gazette endorsement quote layered over a dark green background with candidate photo |
| Tactic | The ad leverages a prominent local newspaper headline and a credible former congressman's endorsement to frame Wahls as the most electable Democrat, using third-party validation to boost persuasion without direct attack. |
Where it ran (delivery by region)
| Iowa | 100.0% |
Who saw it (delivery)
| 18-24 · female | 3.8% |
| 45-54 · male | 6.5% |
| 65+ · male | 7.8% |
| 65+ · female | 12.6% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 5.2% |
| 55-64 · female | 8.5% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 9.2% |
| 18-24 · male | 2.4% |
| 35-44 · unknown | 0.3% |
| 35-44 · male | 8.6% |
| 35-44 · female | 13.3% |
| 25-34 · unknown | 0.4% |
| 25-34 · male | 7.5% |
| 25-34 · female | 13.3% |
| 18-24 · unknown | 0.2% |
| 65+ · unknown | 0.2% |
