Mallory McMorrow for Michigan
If every single person watching this gave just $5 right now, our team would have the resources we need to win this election. It might not sound like much. But your $5 combined with thousands of other donations is the only way we’ll be able to respond to the tens of millions of dollars in Republican spending.
If every single person watching this gave just $5 right now, our team would have the resources we need to win this election. It might not sound like much. But your $5 combined with thousands of other donations is the only way we’ll be able to respond to the tens of millions of dollars in Republican spending.
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| Overall score | 43.2/100 |
| Spend / Reach / Long. / Eff. | 41.0 · 69.3 · 6.6 · 56.1 |
| Spend range | USD 2,000–2,499 |
| Impressions | 45,000 – 49,999 |
| CPM (≈ $/1k impr) | USD 47.36 |
| Est. audience size | — |
| Days live | 25 (2026-04-26 → 2026-05-21) |
| Created | 2026-04-26 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MI — Mallory Mcmorrow |
| Surfaced by | “senate:Mallory Mcmorrow” |
| 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 | Direct-to-camera personal appeal from the candidate in a low-key professional blazer, mimicking an authentic unscripted video message |
| Tactic | Classic small-dollar grassroots fundraising tactic using a low-barrier $5 ask combined with a David-vs-Goliath framing against 'tens of millions in Republican spending' to create urgency and collective-action motivation. |
| Michigan | 29.6% |
| California | 10.1% |
| Florida | 4.9% |
| New York | 4.5% |
| Texas | 3.8% |
| Illinois | 3.7% |
| Massachusetts | 3.0% |
| 18-24 · female | 0.5% |
| 45-54 · male | 7.5% |
| 65+ · male | 30.9% |
| 65+ · female | 19.1% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 15.2% |
| 55-64 · female | 8.5% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 3.6% |
| 18-24 · male | 1.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 5.0% |
| 35-44 · female | 2.5% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 3.1% |
| 25-34 · female | 1.7% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.6% |