Haley Stevens US Inactive
Haley Stevens for Senate
Help Democrats Flip the Senate
This is a critical moment. Will you give before midnight?
Ad copy
Have you seen the new poll out of Michigan? This one ๐๐ข๐ ๐ก came out, and it shows ๐ฆ๐ ๐ฌ๐ญ๐๐ญ๐ข๐ฌ๐ญ๐ข๐๐๐ฅ๐ฅ๐ฒ ๐ญ๐ข๐๐ ๐ฐ๐ข๐ญ๐ก ๐๐๐ฉ๐ฎ๐๐ฅ๐ข๐๐๐ง ๐๐ข๐ค๐ ๐๐จ๐ ๐๐ซ๐ฌ. We can pull ahead and win this race, but Rogers is backed by Trump and a far-right Texas billionaire who has already dumped $5 million into this race. I need your help to fight back. Poll after poll has shown Iโm the best Democrat to take on MAGA Mike, so Iโm asking: Can you rush a donation ahead of our midnight deadline and help keep Michigan blue to take back the Senate for Democrats?
โ View in Meta Ad Library (the live creative โ image/video/layout)
Performance proxies
| Overall score | 38.3/100 |
| Spend / Reach / Long. / Eff. | 34.7 ยท 59.2 ยท 6.3 ยท 53.0 |
| Spend range | USD 1,000โ1,499 |
| Impressions | 15,000 โ 19,999 |
| CPM (โ $/1k impr) | USD 71.4 |
| Est. audience size | โ |
| Days live | 24 (2026-05-04 โ 2026-05-28) |
| Created | 2026-05-04 |
| Creative variants | 1 body ยท 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MI โ Haley Stevens |
| Surfaced by | โsenate:Haley Stevensโ |
๐ง AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Detroit News headline clipped and overlaid above candidate video frame to lend credibility to the tied-race narrative |
| Tactic | The ad leverages a real newspaper poll headline as borrowed credibility to create urgency around a midnight donation deadline, framing the race as winnable but under threat from big outside money. |
Where it ran (delivery by region)
| Michigan | 66.8% |
| California | 5.6% |
| Florida | 4.0% |
| New York | 2.2% |
| Illinois | 1.5% |
| Washington | 1.4% |
| Texas | 1.3% |
Who saw it (delivery)
| 35-44 ยท female | 1.3% |
| 35-44 ยท male | 2.1% |
| 35-44 ยท unknown | 0.1% |
| 45-54 ยท female | 2.5% |
| 45-54 ยท male | 3.9% |
| 45-54 ยท unknown | 0.1% |
| 55-64 ยท female | 7.6% |
| 55-64 ยท male | 10.9% |
| 55-64 ยท unknown | 0.3% |
| 65+ ยท female | 30.8% |
| 65+ ยท male | 39.7% |
| 65+ ยท unknown | 0.7% |
