Mallory McMorrow US Inactive
Mallory McMorrow for Michigan
Donate to Mallory McMorrow for U.S. Senate
Ad copy
Can you make a $5 donation to my campaign for US Senate right now? Here’s why: This is a tossup. It's going to be one of the most expensive Senate races in the entire country. And Donald Trump and the Republicans think they have this one in the bag. We gotta send them packing, and it's gonna take all of us coming together to raise the resources that we need to run all the way through the tape in November. Are you with me?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 44.4/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 66.9 · 16.0 · 56.2 |
| Spend range | USD 1,500–1,999 |
| Impressions | 35,000 – 39,999 |
| CPM (≈ $/1k impr) | USD 46.65 |
| Est. audience size | — |
| Days live | 59 (2026-02-02 → 2026-04-02) |
| Created | 2026-02-02 |
| 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 | semi pro |
| Who pictured | candidate, opponent |
| Symbols | none |
| Call to action | donate |
| Standout element | Side-by-side poll graphic showing a razor-thin 1-point lead creates immediate urgency |
| Tactic | The ad leverages a close poll stat to trigger loss-aversion, framing the race as winnable but precarious to drive small-dollar donations with a low $5 ask that lowers the barrier to entry. |
Where it ran (delivery by region)
| Michigan | 32.0% |
| California | 9.2% |
| New York | 4.7% |
| Florida | 4.4% |
| Illinois | 3.9% |
| Texas | 3.5% |
| Washington | 2.9% |
Who saw it (delivery)
| 18-24 · female | 0.8% |
| 45-54 · male | 6.4% |
| 65+ · male | 26.7% |
| 65+ · female | 23.4% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 11.2% |
| 55-64 · female | 9.3% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.8% |
| 18-24 · male | 1.2% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 5.2% |
| 35-44 · female | 4.0% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 3.3% |
| 25-34 · female | 2.4% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.6% |
