Mallory McMorrow for Michigan
Can you make a $5 donation to my campaign for US Senate right now? Here’s why: This is a tossup. It's going to be one of the most expensive Senate races in the entire country. And Donald Trump and the Republicans think they have this one in the bag. We gotta send them packing, and it's gonna take all of us coming together to raise the resources that we need to run all the way through the tape in November. Are you with me?
Can you make a $5 donation to my campaign for US Senate right now? Here’s why: This is a tossup. It's going to be one of the most expensive Senate races in the entire country. And Donald Trump and the Republicans think they have this one in the bag. We gotta send them packing, and it's gonna take all of us coming together to raise the resources that we need to run all the way through the tape in November. Are you with me?
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| Overall score | 50.0/100 |
| Spend / Reach / Long. / Eff. | 50.6 · 78.0 · 15.4 · 55.8 |
| Spend range | USD 5,000–5,999 |
| Impressions | 100,000 – 124,999 |
| CPM (≈ $/1k impr) | USD 48.88 |
| Est. audience size | — |
| Days live | 57 (2026-02-05 → 2026-04-03) |
| Created | 2026-02-05 |
| 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, opponent |
| Symbols | none |
| Call to action | donate |
| Standout element | Side-by-side poll graphic showing a razor-thin 1-point lead to dramatize the tossup stakes |
| Tactic | Uses a tight poll split and low $5 ask to manufacture urgency, framing the race as winnable but fragile to drive immediate small-dollar donations. |
| Michigan | 17.4% |
| California | 13.2% |
| Florida | 5.9% |
| New York | 5.9% |
| Illinois | 4.2% |
| Texas | 3.6% |
| Massachusetts | 3.6% |
| 18-24 · female | 0.1% |
| 45-54 · male | 4.4% |
| 65+ · male | 29.4% |
| 65+ · female | 33.0% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 9.6% |
| 55-64 · female | 11.0% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.4% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 2.6% |
| 35-44 · female | 2.4% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.8% |
| 25-34 · female | 0.9% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.7% |