Haley Stevens US Inactive
HALEY STEVENS FOR CONGRESS
ENDORSEMENT ALERT [BRENDA LAWRENCE]
Haley Stevens was born and raised in Oakland County and has dedicated her career to saving and growing good-paying jobs in Michigan.
Ad copy
“I know a fighter when I see one, and that’s why I am proud to announce my endorsement of Congresswoman Haley Stevens.” – Congresswoman Brenda Lawrence. I’ll never back down for Michigan families and I’ll never waver on doing the right thing. I fought to defend a woman’s right to choose and I’m working to pass a national right to abortion, so no matter how rightwing judges rule, every woman will have the right to choose. In Congress, I’m taking on the NRA – to protect our neighborhoods and our classrooms – and pass common sense reforms like universal background checks and getting guns away from violent criminals and domestic abusers.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 47.6/100 |
| Spend / Reach / Long. / Eff. | 43.1 · 80.0 · 5.0 · 62.5 |
| Spend range | USD 2,500–2,999 |
| Impressions | 125,000 – 149,999 |
| CPM (≈ $/1k impr) | USD 20.0 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 19 (2022-05-12 → 2022-05-31) |
| Created | 2022-05-11 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MI — Haley Stevens |
| Surfaced by | “senate:Haley Stevens” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | pride |
| Production tier | professional |
| Who pictured | candidate |
| Symbols | none |
| Call to action | learn more |
| Standout element | Bold teal background with two smiling congresswomen side-by-side radiating coalition strength |
| Tactic | Leverages peer endorsement credibility from a respected Black congresswoman to validate Stevens as a proven fighter, boosting trust with Democratic base voters. |
Where it ran (delivery by region)
| Michigan | 100.0% |
Who saw it (delivery)
| 13-17 · unknown | 0.0% |
| 25-34 · male | 5.7% |
| 35-44 · unknown | 0.2% |
| 35-44 · female | 10.5% |
| 25-34 · female | 8.1% |
| 35-44 · male | 6.6% |
| 65+ · male | 9.0% |
| 55-64 · female | 12.2% |
| 65+ · female | 17.3% |
| 45-54 · male | 7.2% |
| 13-17 · female | 0.0% |
| 45-54 · female | 11.8% |
| 18-24 · female | 2.2% |
| 18-24 · male | 1.6% |
| 55-64 · male | 6.9% |
| 45-54 · unknown | 0.2% |
| 25-34 · unknown | 0.1% |
| 65+ · unknown | 0.2% |
| 18-24 · unknown | 0.0% |
| 55-64 · unknown | 0.1% |
