Mallory McMorrow US Inactive
Mallory McMorrow for Michigan
Donate by midnight
Ad copy
Our FEC quarterly deadline is tonight, so if you've been waiting for a moment to donate to our campaign, I hope you'll do it right now. We're building some serious momentum, but Donald Trump's hand-picked candidate, Mike Rogers, is watching every single move that we make. Why? Because there's polling that shows I'm the only Democrat who can beat him. So you better believe the negative attacks are coming, and we need to be ready. I'm asking you to donate today, before our deadline at midnight, so we can show that we are prepared, we will fight back, and we will win.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 44.1/100 |
| Spend / Reach / Long. / Eff. | 46.5 · 73.9 · 0.3 · 55.6 |
| Spend range | USD 3,500–3,999 |
| Impressions | 70,000 – 79,999 |
| CPM (≈ $/1k impr) | USD 49.99 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 2 (2025-09-30 → 2025-10-02) |
| Created | 2025-09-30 |
| 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 | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Casual selfie-style video frame with candidate gesturing directly at viewer creates intimate urgency |
| Tactic | The ad leverages a hard FEC deadline combined with underdog electability polling to manufacture urgency and justify an immediate donation ask. |
Where it ran (delivery by region)
| Michigan | 26.7% |
| California | 13.2% |
| Washington | 4.6% |
| Illinois | 4.4% |
| New York | 4.2% |
| Texas | 3.6% |
| Ohio | 2.7% |
Who saw it (delivery)
| 18-24 · female | 0.5% |
| 45-54 · male | 5.3% |
| 65+ · male | 13.2% |
| 65+ · female | 24.3% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 8.2% |
| 55-64 · female | 17.7% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 11.1% |
| 18-24 · male | 0.6% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 4.3% |
| 35-44 · female | 8.7% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 2.0% |
| 25-34 · female | 2.8% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.5% |
