Haley Stevens US Inactive
Haley Stevens for Senate
Donate to keep Michigan blue and flip the Senate
We need your grassroots support before tonight’s midnight fundraising deadline.
Ad copy
Michigan’s Senate race is going to be one of the most closely watched of the midterms, and I’m up by 1 point in the latest poll against my MAGA opponent, Mike Rogers. Will you rush a gift right now to keep up the momentum?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 42.0/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 59.2 · 21.2 · 53.0 |
| Spend range | USD 1,000–1,499 |
| Impressions | 15,000 – 19,999 |
| CPM (≈ $/1k impr) | USD 71.4 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 78 (2025-08-04 → 2025-10-21) |
| Created | 2025-08-04 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MI — Haley Stevens |
| Surfaced by | “senate:Haley Stevens” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate, opponent |
| Symbols | none |
| Call to action | donate |
| Standout element | Side-by-side poll bar chart showing Stevens 46% vs Rogers 45% with candidate headshots |
| Tactic | Leverages a tight polling margin to manufacture urgency around a midnight fundraising deadline, pairing a personal video appeal with a visual poll stat to make the ask feel data-driven and winnable. |
Where it ran (delivery by region)
| Michigan | 88.9% |
| California | 1.4% |
| Ohio | 1.1% |
| New York | 0.8% |
| Pennsylvania | 0.7% |
| Illinois | 0.6% |
| Florida | 0.5% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 3.5% |
| 65+ · male | 15.3% |
| 65+ · female | 40.7% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 6.7% |
| 55-64 · female | 16.9% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 8.9% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 1.6% |
| 35-44 · female | 3.4% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.7% |
| 25-34 · female | 1.0% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.7% |
