Vote for James Patrick Schmidt, Moline Alderperson At Large US Inactive
Friends of James Patrick Schmidt
Ad copy
It is truly humbling to see all the people who are supporting me in the community, and the Vote for Change Rally today was an amazing experience! Thanks to everyone who helped make it a success, and everyone who braved the wind to join us! I know we can make a difference in Moline, and I hope you’ll help us do it! Please #VoteForChange by voting for Sangeetha Rayapati for Mayor, James Patrick Schmidt for Moline Alderman-at-Large, Alvaro for Moline 2nd Ward Alderman, and Matt Timion for Moline City Council!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 27.3/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 43.0 · 1.1 · 65.1 |
| Spend range | <USD 99 |
| Impressions | 3,000 – 3,999 |
| CPM (≈ $/1k impr) | USD 14.14 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 5 (2021-03-28 → 2021-04-02) |
| Created | 2021-03-28 |
| Creative variants | 1 body · 0 headline |
| Platforms | |
| Languages | en |
| Candidate | KS — Patrick Schmidt |
| Surfaced by | “senate:Patrick Schmidt” |
🧠 AI analysis
| Issue | other |
| Framing | positive candidate |
| Message type | gotv mobilization |
| Emotional appeal | hope |
| Production tier | diy amateur |
| Who pictured | candidate, diverse crowd |
| Symbols | none |
| Call to action | vote |
| Standout element | Candidate standing alone in a parking lot backdrop suggesting a grassroots, low-budget rally atmosphere |
| Tactic | The ad uses authentic community rally photos and humble, grateful language to build local trust and reinforce a grassroots 'Vote for Change' slate mobilization message. |
Where it ran (delivery by region)
| Illinois | 99.5% |
| Iowa | 0.5% |
Who saw it (delivery)
| 35-44 · unknown | 0.0% |
| 65+ · male | 2.2% |
| 45-54 · unknown | 0.1% |
| 18-24 · unknown | 0.2% |
| 25-34 · unknown | 0.2% |
| 55-64 · female | 5.4% |
| 65+ · female | 3.2% |
| 55-64 · male | 4.4% |
| 18-24 · female | 9.7% |
| 45-54 · female | 5.8% |
| 25-34 · male | 17.5% |
| 18-24 · male | 10.6% |
| 35-44 · male | 12.3% |
| 35-44 · female | 10.0% |
| 45-54 · male | 8.0% |
| 25-34 · female | 10.5% |
| 55-64 · unknown | 0.0% |
