Haley Stevens for Senate
Haley Stevens is Democrats’ best shot at keeping Michigan blue. Rush a donation now.
Democrat Haley Stevens here with urgent news about my Senate race in Michigan: Election experts have declared that this open seat is one of the most likely to flip from red to blue. But here’s why I know we can win: New polling shows me statistically tied with MAGA Republican Mike Rogers among independent voters. In a battleground race like this that will come down to the margins, this is HUGE. Now, I urgently need resources to get my message out to voters across the state. Will you rush a donation to fuel my voter outreach efforts, keep Michigan blue, and take back the Senate for Democrats?
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| Overall score | 42.1/100 |
| Spend / Reach / Long. / Eff. | 29.2 · 59.2 · 23.1 · 56.8 |
| Spend range | USD 700–799 |
| Impressions | 15,000 – 19,999 |
| CPM (≈ $/1k impr) | USD 42.83 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 85 (2025-12-04 → 2026-02-27) |
| Created | 2025-12-04 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MI — Haley Stevens |
| Surfaced by | “senate:Haley Stevens” |
| 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 | Fake breaking-news chyron with side-by-side poll bars showing Stevens 45% vs Rogers 44% to manufacture urgency |
| Tactic | Leverages a fabricated news-broadcast aesthetic and near-tied polling data to trigger fear of losing and drive immediate donations via a classic 'margins matter' scarcity frame. |
| Michigan | 55.1% |
| Florida | 4.5% |
| California | 4.0% |
| New York | 3.4% |
| Ohio | 2.4% |
| Illinois | 2.1% |
| Pennsylvania | 2.0% |
| 18-24 · male | 0.1% |
| 25-34 · female | 0.8% |
| 25-34 · male | 0.5% |
| 25-34 · unknown | 0.0% |
| 35-44 · female | 3.0% |
| 35-44 · male | 2.0% |
| 35-44 · unknown | 0.1% |
| 45-54 · female | 5.4% |
| 45-54 · male | 3.4% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 11.5% |
| 55-64 · male | 8.2% |
| 55-64 · unknown | 0.2% |
| 65+ · female | 36.2% |
| 65+ · male | 27.7% |
| 65+ · unknown | 0.7% |