Mallory McMorrow for Michigan
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. 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.
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. 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.
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| Overall score | 44.6/100 |
| Spend / Reach / Long. / Eff. | 47.8 · 69.3 · 10.2 · 51.3 |
| Spend range | USD 4,000–4,499 |
| Impressions | 45,000 – 49,999 |
| CPM (≈ $/1k impr) | USD 89.46 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 38 (2026-05-21 → active) |
| Created | 2026-05-21 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MI — Mallory Mcmorrow |
| Surfaced by | “senate:Mallory Mcmorrow” |
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | money cash |
| Call to action | donate |
| Standout element | Candidate in casual denim shirt speaking directly to camera in a park, pattern-interrupting with 'Hey! Wait! Stop scrolling!' |
| Tactic | Pattern-interrupt hook combined with a low $5 ask and a billionaire-money threat frame creates urgency and lowers the barrier to first-time donors. |
| Michigan | 25.1% |
| California | 11.6% |
| New York | 5.3% |
| Florida | 4.3% |
| Illinois | 3.8% |
| Washington | 3.6% |
| Texas | 3.3% |
| 18-24 · female | 0.2% |
| 45-54 · male | 4.2% |
| 65+ · male | 35.4% |
| 65+ · female | 31.1% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 10.1% |
| 55-64 · female | 8.4% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 2.7% |
| 18-24 · male | 0.2% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 2.4% |
| 35-44 · female | 1.7% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 1.5% |
| 25-34 · female | 0.9% |
| 65+ · unknown | 0.8% |