Mallory McMorrow for Michigan
Hey – it’s Mallory McMorrow, candidate for Senate right here in Michigan. Will you donate to my campaign today? I’m asking you to donate to my campaign because I don’t have a bunch of billionaire friends – I have you. It is going to take a ton of people organizing – it’s going to take events, and canvassing, and messaging, and podcasts, and media – so many things to get out, to meet you and to hear what keeps you up at night. That means building a campaign full of people like you, who are stepping up, speaking out, and raising your voice in your communities. And yes – that also means making a donation when you can. If you’re with me, I hope you will make a donation right now and help us build up the resources we will need to fight and win.
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| Overall score | 51.5/100 |
| Spend / Reach / Long. / Eff. | 46.5 · 73.9 · 29.8 · 55.6 |
| Spend range | USD 3,500–3,999 |
| Impressions | 70,000 – 79,999 |
| CPM (≈ $/1k impr) | USD 49.99 |
| Est. audience size | — |
| Days live | 109 (2025-07-29 → 2025-11-15) |
| Created | 2025-07-29 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MI — Mallory Mcmorrow |
| Surfaced by | “senate:Mallory Mcmorrow” |
| Issue | economy taxes |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | yellow-highlighted subtitle 'friends' contrasting candidate's claim of having voters not billionaires |
| Tactic | Classic populist fundraising appeal that positions the candidate as a people-powered underdog against wealthy special interests, using direct-to-camera authenticity and the 'I have you' contrast to emotionally motivate small-dollar donations. |
| Michigan | 43.6% |
| California | 7.6% |
| New York | 4.2% |
| Illinois | 3.4% |
| Massachusetts | 2.6% |
| Florida | 2.6% |
| Washington | 2.5% |
| 18-24 · female | 0.3% |
| 45-54 · male | 6.0% |
| 65+ · male | 30.1% |
| 65+ · female | 24.8% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 12.8% |
| 55-64 · female | 10.5% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.7% |
| 18-24 · male | 0.4% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 3.4% |
| 35-44 · female | 3.1% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 1.4% |
| 25-34 · female | 1.2% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.7% |