Mallory McMorrow US Inactive
Mallory McMorrow for Michigan
Donate to Mallory McMorrow for U.S. Senate
Ad copy
Stop scrolling! Just for a second. Can you donate $5 to my campaign for US Senate right now? Here’s why. This race in Michigan is a tossup. It is going to be one of the most expensive Senate races in the entire country. Donald Trump has picked his handpicked candidate, and he thinks he has this one in the bag. Let’s show him he’s wrong. I know that when all of us come together, we can win this thing.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 63.5/100 |
| Spend / Reach / Long. / Eff. | 77.1 · 100.0 · 23.1 · 53.7 |
| Spend range | USD 60,000–69,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 65.0 |
| Est. audience size | — |
| Days live | 85 (2025-11-18 → 2026-02-11) |
| Created | 2025-11-18 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MI — Mallory Mcmorrow |
| Surfaced by | “senate:Mallory Mcmorrow” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | candidate filmed outdoors in autumn foliage with clasped hands conveying sincerity and approachability |
| Tactic | Uses a direct-to-camera, personal ask ('Stop scrolling') combined with underdog urgency framing against Trump's 'handpicked candidate' to drive immediate low-dollar donations. |
Where it ran (delivery by region)
| Michigan | 18.7% |
| California | 12.0% |
| New York | 6.3% |
| Illinois | 5.2% |
| Texas | 4.1% |
| Florida | 3.5% |
| Massachusetts | 3.4% |
Who saw it (delivery)
| 18-24 · female | 1.6% |
| 45-54 · unknown | 0.2% |
| Unknown · male | 0.0% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.4% |
| 65+ · male | 12.8% |
| 65+ · female | 16.2% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 9.3% |
| 55-64 · female | 11.4% |
| 45-54 · male | 7.7% |
| 18-24 · male | 1.5% |
| 45-54 · female | 9.7% |
| 35-44 · unknown | 0.3% |
| 35-44 · male | 7.1% |
| 35-44 · female | 10.5% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 4.8% |
| 25-34 · female | 6.1% |
| 18-24 · unknown | 0.1% |
| Unknown · unknown | 0.0% |
