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 before my FEC deadline at midnight on December 31st. 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 | 59.1/100 |
| Spend / Reach / Long. / Eff. | 77.1 · 100.0 · 5.5 · 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 | 21 (2026-01-05 → 2026-01-26) |
| Created | 2026-01-05 |
| 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 | money cash |
| Call to action | donate |
| Standout element | Side-by-side poll graphic showing McMorrow leading Rogers 43-42% with contrasting warm vs. desaturated color treatment |
| Tactic | The ad uses a pattern-interrupt hook ('Hey! Wait! Stop scrolling!') combined with a tight poll margin and FEC deadline urgency to drive low-dollar donations by making the race feel winnable but threatened by MAGA money. |
Where it ran (delivery by region)
| Michigan | 18.6% |
| California | 13.2% |
| New York | 6.5% |
| Illinois | 4.9% |
| Texas | 4.1% |
| Florida | 4.0% |
| Washington | 3.4% |
Who saw it (delivery)
| 18-24 · female | 4.1% |
| 45-54 · unknown | 0.2% |
| Unknown · male | 0.0% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.3% |
| 65+ · male | 10.6% |
| 65+ · female | 13.9% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 7.5% |
| 55-64 · female | 9.8% |
| 45-54 · male | 6.7% |
| 18-24 · male | 2.9% |
| 45-54 · female | 8.4% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 7.7% |
| 35-44 · female | 11.2% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 6.6% |
| 25-34 · female | 9.0% |
| 18-24 · unknown | 0.3% |
| Unknown · unknown | 0.0% |
