Mallory McMorrow US Inactive
Mallory McMorrow for Michigan
Donate to Mallory McMorrow for U.S. Senate
Ad copy
This is the hard truth: Republicans view Michigan as their top Senate pick up opportunity. They will flood this race with millions because Donald Trump would love nothing more than to see this seat flip red. But here’s the thing: We’re LEADING in this race, beating Trump’s hand-picked candidate Mike Rogers by 3 points. It’s clear we have momentum. But we need to sustain it when the attack ads start. Will you donate, whatever you can, to help us fight back?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 42.9/100 |
| Spend / Reach / Long. / Eff. | 41.0 · 69.3 · 5.0 · 56.1 |
| Spend range | USD 2,000–2,499 |
| Impressions | 45,000 – 49,999 |
| CPM (≈ $/1k impr) | USD 47.36 |
| Est. audience size | — |
| Days live | 19 (2026-02-13 → 2026-03-04) |
| Created | 2026-02-13 |
| 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 | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Selfie-style car video giving an intimate, unfiltered direct-to-camera confession of vulnerability |
| Tactic | Uses fear-of-losing framing paired with a momentum poll stat to create urgency that compels small-dollar donors to act defensively before Republican attack ads arrive. |
Where it ran (delivery by region)
| Michigan | 42.8% |
| California | 7.6% |
| Florida | 4.0% |
| New York | 3.8% |
| Illinois | 3.3% |
| Washington | 2.5% |
| Pennsylvania | 2.4% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · male | 5.6% |
| 65+ · male | 28.1% |
| 65+ · female | 27.2% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 12.1% |
| 55-64 · female | 12.6% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.3% |
| 18-24 · male | 0.3% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 2.9% |
| 35-44 · female | 2.6% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.2% |
| 25-34 · female | 1.0% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.6% |
