Haley Stevens US Inactive
HALEY STEVENS FOR CONGRESS
BIG NEWS: Brenda Lawrence Endorses Haley Stevens
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’m Democrat Haley Stevens and I’m proud to have the endorsement of Congresswoman Brenda Lawrence. As Chief of Staff to President Obama’s auto rescue we brought Michigan’s manufacturing economy back from the brink. In Congress, I’m focused on our future. That’s why I wrote and passed a law to get girls more access to science, tech, engineering and math education. And it’s why I was so proud to pass a law to help fund minority owned businesses and reduce barriers for small business owners of color.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 52.1/100 |
| Spend / Reach / Long. / Eff. | 52.4 · 88.7 · 5.0 · 62.5 |
| Spend range | USD 6,000–6,999 |
| Impressions | 300,000 – 349,999 |
| 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 | semi pro |
| Who pictured | candidate, diverse crowd |
| Symbols | none |
| Call to action | learn more |
| Standout element | Bold blue-and-gold endorsement headline flanked by two smiling women of different generations and races projecting unity |
| Tactic | The ad leverages a respected incumbent congresswoman's endorsement as social proof while tying the candidate to Obama's economic legacy to build credibility with Democratic primary voters. |
Where it ran (delivery by region)
| Michigan | 100.0% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 25-34 · female | 7.7% |
| 35-44 · unknown | 0.2% |
| 13-17 · female | 0.0% |
| 45-54 · male | 7.1% |
| 55-64 · female | 12.8% |
| 35-44 · male | 6.5% |
| 65+ · female | 17.2% |
| 45-54 · female | 12.6% |
| 18-24 · male | 1.5% |
| 65+ · unknown | 0.2% |
| 18-24 · female | 1.9% |
| 25-34 · male | 5.6% |
| 55-64 · male | 7.0% |
| 35-44 · female | 10.4% |
| 65+ · male | 8.8% |
| 25-34 · unknown | 0.1% |
| 55-64 · unknown | 0.2% |
| 45-54 · unknown | 0.2% |
