Mallory McMorrow for Michigan
Can you donate any amount right now? Why? We’re coming up on December 31st. It’s our close-of-books for the end of the year. This is our most important filing deadline ever. Mike Rogers and his billionaire MAGA buddies are pouring millions of dollars into his campaign. So this is where I need you. Step up, help us close out the end of the year strong. We can do this thing, Michigan.
Can you donate any amount right now? Why? We’re coming up on December 31st. It’s our close-of-books for the end of the year. This is our most important filing deadline ever. Mike Rogers and his billionaire MAGA buddies are pouring millions of dollars into his campaign. So this is where I need you. Step up, help us close out the end of the year strong. We can do this thing, Michigan.
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 47.1/100 |
| Spend / Reach / Long. / Eff. | 49.0 · 78.0 · 4.7 · 56.9 |
| Spend range | USD 4,500–4,999 |
| Impressions | 100,000 – 124,999 |
| CPM (≈ $/1k impr) | USD 42.22 |
| Est. audience size | — |
| Days live | 18 (2025-12-15 → 2026-01-02) |
| Created | 2025-12-14 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MI — Mallory Mcmorrow |
| Surfaced by | “senate:Mallory Mcmorrow” |
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate smiling warmly in winter snow with bold yellow-highlighted name subtitle creating an intimate, grassroots video feel |
| Tactic | Creates urgency through a hard year-end deadline while framing the opponent as a tool of billionaire MAGA money, positioning the donor as the equalizer against dark money. |
| Michigan | 38.9% |
| California | 8.5% |
| New York | 4.4% |
| Illinois | 3.9% |
| Florida | 2.9% |
| Texas | 2.7% |
| Massachusetts | 2.7% |
| 18-24 · female | 1.0% |
| 45-54 · male | 8.5% |
| 65+ · male | 25.2% |
| 65+ · female | 16.5% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 12.2% |
| 55-64 · female | 8.1% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 5.2% |
| 18-24 · male | 1.2% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 7.2% |
| 35-44 · female | 5.6% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 4.4% |
| 25-34 · female | 3.7% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.5% |