Mallory McMorrow US Inactive
Mallory McMorrow for Michigan
Donate to Mallory McMorrow for U.S. Senate
Ad copy
Hey! Wait! Stop scrolling! I'm Mallory McMorrow. I'm running for Senate in Michigan, and I'm asking for a $5 donation to my Senate campaign. Why? Because MAGA billionaires are flooding Mike Rogers’ campaign with cash, and we need to compete. What’s true is that campaigns that have cash early have the resources they need to run a winning campaign. So that’s it. I’m asking for $5 right now for this campaign, and thank you. Okay, you got it. Keep scrolling.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 43.5/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 65.4 · 15.2 · 55.1 |
| Spend range | USD 1,500–1,999 |
| Impressions | 30,000 – 34,999 |
| CPM (≈ $/1k impr) | USD 53.83 |
| Est. audience size | — |
| Days live | 56 (2026-02-05 → 2026-04-02) |
| Created | 2026-02-05 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MI — Mallory Mcmorrow |
| Surfaced by | “senate:Mallory Mcmorrow” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate, opponent |
| Symbols | money cash |
| Call to action | donate |
| Standout element | Side-by-side poll graphic with candidate in full color versus opponent in black-and-white, signaling a close race requiring urgent small-dollar support |
| Tactic | The ad leverages a scroll-stopping direct address combined with a razor-thin poll margin to manufacture urgency, framing a $5 donation as the grassroots antidote to MAGA billionaire money flooding the opponent's campaign. |
Where it ran (delivery by region)
| California | 13.5% |
| Michigan | 11.4% |
| New York | 6.2% |
| Florida | 5.9% |
| Texas | 5.1% |
| Illinois | 4.8% |
| Washington | 3.9% |
Who saw it (delivery)
| 18-24 · female | 0.4% |
| 45-54 · unknown | 0.2% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.5% |
| 65+ · male | 24.1% |
| 65+ · female | 22.8% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 11.5% |
| 55-64 · female | 11.4% |
| 45-54 · male | 6.8% |
| 18-24 · male | 0.6% |
| 45-54 · female | 6.5% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 5.2% |
| 35-44 · female | 4.7% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 2.7% |
| 25-34 · female | 2.2% |
| 18-24 · unknown | 0.0% |
| Unknown · male | 0.0% |
