Mallory McMorrow for Michigan
I’m Mallory McMorrow and I’m running for U.S. Senate in Michigan. Today, I’m asking you to make a donation to my campaign. I know we can’t just show up on Election Day and expect to win. We need to start building real relationships with voters. That takes time. Your donation right now will help our campaign show up consistently in every community across Michigan.
I’m Mallory McMorrow and I’m running for U.S. Senate in Michigan. Today, I’m asking you to make a donation to my campaign. I know we can’t just show up on Election Day and expect to win. We need to start building real relationships with voters. That takes time. Your donation right now will help our campaign show up consistently in every community across Michigan.
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 67.8/100 |
| Spend / Reach / Long. / Eff. | 71.2 · 99.5 · 43.0 · 57.4 |
| Spend range | USD 35,000–39,999 |
| Impressions | 900,000 – 999,999 |
| CPM (≈ $/1k impr) | USD 39.47 |
| Est. audience size | — |
| Days live | 157 (2025-06-10 → 2025-11-14) |
| Created | 2025-06-10 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MI — Mallory Mcmorrow |
| Surfaced by | “senate:Mallory Mcmorrow” |
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Yellow-highlighted caption subtitle mid-frame creates an urgent, podcast-style direct-to-camera intimacy |
| Tactic | Candidate speaks directly to camera in a candid home-office setting, using a grassroots urgency appeal — 'we can't just show up' — to convert early viewers into donors by framing early investment as the strategic key to winning. |
| Michigan | 30.9% |
| California | 10.3% |
| New York | 5.0% |
| Florida | 4.2% |
| Illinois | 3.7% |
| Texas | 3.1% |
| Ohio | 3.0% |
| 18-24 · female | 0.7% |
| 45-54 · male | 7.2% |
| 65+ · male | 22.5% |
| 65+ · female | 20.5% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 12.8% |
| 55-64 · female | 11.3% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 6.6% |
| 18-24 · male | 1.0% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 5.2% |
| 35-44 · female | 5.2% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 2.8% |
| 25-34 · female | 2.9% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.5% |