Haley Stevens US Inactive
Haley Stevens for Senate
Donate to keep Michigan blue and help Democrats flip the Senate!
The only way we can win this battleground race is with your grassroots support.
Ad copy
โ ๏ธ๐๐จ๐ซ๐ซ๐ฒ ๐ญ๐จ ๐ฌ๐ญ๐จ๐ฉ ๐ฒ๐จ๐ฎ๐ซ ๐ฌ๐๐ซ๐จ๐ฅ๐ฅ๐ข๐ง๐ , ๐๐ฎ๐ญ ๐๐๐ฅ๐๐ฒ ๐๐ญ๐๐ฏ๐๐ง๐ฌ ๐ก๐๐ฌ ๐๐ง ๐ฎ๐ซ๐ ๐๐ง๐ญ ๐ฆ๐๐ฌ๐ฌ๐๐ ๐! If Democrats want to take back the Senate and put an end to Donald Trumpโs chaos, Haley Stevens must keep Michiganโs battleground seat blue. ๐๐ ๐๐๐๐๐ ๐, ๐ค๐๐๐ ๐ฆ๐๐ข ๐๐๐ ๐ค๐๐ ๐ป๐๐๐๐ฆโ๐ ๐๐๐๐ ๐๐๐ ๐โ๐๐ ๐๐ ๐๐๐ค ๐ก๐ โ๐๐๐ ๐ข๐ ๐ค๐๐ ๐๐ ๐๐๐โ๐๐๐๐ ๐๐๐ ๐๐๐๐ ๐กโ๐ ๐๐๐๐๐ก๐?
โ View in Meta Ad Library (the live creative โ image/video/layout)
Performance proxies
| Overall score | 40.5/100 |
| Spend / Reach / Long. / Eff. | 34.7 ยท 50.6 ยท 30.0 ยท 46.7 |
| Spend range | USD 1,000โ1,499 |
| Impressions | 7,000 โ 7,999 |
| CPM (โ $/1k impr) | USD 166.61 |
| Est. audience size | โ |
| Days live | 110 (2025-04-29 โ 2025-08-17) |
| Created | 2025-04-29 |
| 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 | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Scroll-stopping warning emoji paired with candidate speaking directly to camera in a casual home setting |
| Tactic | Pattern-interrupt 'sorry to stop your scrolling' hook combined with direct-to-camera personal appeal creates manufactured urgency to drive small-dollar donations by framing the race as a decisive Senate-flipping opportunity against Trump chaos. |
Where it ran (delivery by region)
| Michigan | 26.7% |
| California | 10.1% |
| New York | 6.5% |
| Washington | 4.0% |
| Massachusetts | 3.7% |
| Pennsylvania | 3.5% |
| Florida | 3.4% |
Who saw it (delivery)
| 25-34 ยท male | 0.0% |
| 35-44 ยท female | 3.2% |
| 35-44 ยท male | 2.7% |
| 35-44 ยท unknown | 0.1% |
| 45-54 ยท female | 4.3% |
| 45-54 ยท male | 3.3% |
| 45-54 ยท unknown | 0.1% |
| 55-64 ยท female | 11.6% |
| 55-64 ยท male | 8.9% |
| 55-64 ยท unknown | 0.3% |
| 65+ ยท female | 35.8% |
| 65+ ยท male | 28.9% |
| 65+ ยท unknown | 0.7% |
