Mallory McMorrow for Michigan
Can you donate any amount right now? 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? 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.
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| Overall score | 46.6/100 |
| Spend / Reach / Long. / Eff. | 49.0 · 78.0 · 2.5 · 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 | 10 (2025-12-23 → 2026-01-02) |
| Created | 2025-12-23 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MI — Mallory Mcmorrow |
| Surfaced by | “senate:Mallory Mcmorrow” |
| Issue | economy taxes |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | blurred wintry outdoor video freeze-frame conveying urgency and motion |
| Tactic | Classic end-of-year deadline urgency fundraising tactic pairing a financial filing milestone with a populist contrast between the grassroots candidate and a billionaire-backed opponent to pressure small donors into acting immediately. |
| Michigan | 39.2% |
| California | 8.3% |
| New York | 4.2% |
| Illinois | 3.8% |
| Florida | 3.2% |
| Washington | 2.9% |
| Massachusetts | 2.6% |
| 18-24 · female | 0.3% |
| 45-54 · male | 7.4% |
| 65+ · unknown | 0.6% |
| 65+ · male | 26.7% |
| 65+ · female | 22.1% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 13.6% |
| 55-64 · female | 10.4% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 5.8% |
| 18-24 · male | 0.3% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 4.5% |
| 35-44 · female | 4.0% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.8% |
| 25-34 · female | 1.8% |
| 18-24 · unknown | 0.0% |
| Unknown · unknown | 0.0% |