Mallory McMorrow US Inactive
Mallory McMorrow for Michigan
Donate to Mallory McMorrow for U.S. Senate
Donate to Mallory McMorrow for U.S. Senate
Ad copy
Did you hear? A new poll shows we’re leading by 3 points. That’s a great lead. But we have to build on it. Because this result makes us MAGA’s #1 target in this race. So I need your help to fight back. Pitch in a donation today and let’s go win this thing.
Did you hear? A new poll shows we’re leading by 3 points. That’s a great lead. But we have to build on it. Because this result makes us MAGA’s #1 target in this race. So I need your help to fight back. Pitch in a donation today and let’s go win this thing.
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Performance proxies
| Overall score | 49.8/100 |
| Spend / Reach / Long. / Eff. | 53.9 · 78.0 · 13.8 · 53.5 |
| Spend range | USD 7,000–7,999 |
| Impressions | 100,000 – 124,999 |
| CPM (≈ $/1k impr) | USD 66.66 |
| Est. audience size | — |
| Days live | 51 (2026-02-11 → 2026-04-03) |
| Created | 2026-02-11 |
| Creative variants | 2 body · 2 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 | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate walking toward camera outdoors in winter coat, speaking directly and gesturally as if in mid-conversation |
| Tactic | Uses a poll lead as a double-edged urgency trigger — good news that simultaneously signals danger — to drive immediate donations from supporters who fear losing a winnable race. |
Where it ran (delivery by region)
| Michigan | 27.4% |
| California | 10.6% |
| New York | 5.4% |
| Florida | 4.8% |
| Illinois | 3.8% |
| Texas | 3.2% |
| Massachusetts | 3.2% |
Who saw it (delivery)
| 18-24 · female | 0.7% |
| 45-54 · male | 6.1% |
| 65+ · male | 24.5% |
| 65+ · female | 24.8% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 11.0% |
| 55-64 · female | 10.0% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.3% |
| 18-24 · male | 0.9% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 4.9% |
| 35-44 · female | 4.6% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 3.2% |
| 25-34 · female | 2.9% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.5% |
