Haley Stevens US Inactive
HALEY STEVENS FOR CONGRESS
VOTE HALEY STEVENS - Democrat for Congress
Ad copy
We’re proud to have earned the endorsement of Congresswoman Brenda Lawrence for Democrat Haley Stevens’ re-election campaign. Congresswoman Lawrence worked with Haley to pass a law making STEM classes more accessible to girls and admiresthat Haley wrote a bill reducing barriers for small business owners of color. Haley will always put Michiganders at the forefront of her agenda and is the representative Oakland County needs.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 40.9/100 |
| Spend / Reach / Long. / Eff. | 27.6 · 69.3 · 1.4 · 65.3 |
| Spend range | USD 600–699 |
| Impressions | 45,000 – 49,999 |
| CPM (≈ $/1k impr) | USD 13.67 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 6 (2022-06-03 → 2022-06-09) |
| Created | 2022-06-03 |
| 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 | empathy |
| Production tier | semi pro |
| Who pictured | diverse crowd |
| Symbols | none |
| Call to action | vote |
| Standout element | Congresswoman Brenda Lawrence delivering a direct-to-camera endorsement as a trusted Black peer validator |
| Tactic | The ad leverages a respected Black congresswoman's personal testimonial to build cross-demographic credibility and tie Stevens to tangible legislative accomplishments on STEM access and minority business equity. |
Where it ran (delivery by region)
| Michigan | 100.0% |
Who saw it (delivery)
| 65+ · unknown | 0.3% |
| 35-44 · male | 8.9% |
| 18-24 · unknown | 0.1% |
| 25-34 · unknown | 0.1% |
| 45-54 · unknown | 0.2% |
| 55-64 · male | 6.2% |
| 65+ · female | 15.1% |
| 35-44 · female | 12.9% |
| 25-34 · male | 6.3% |
| 65+ · male | 7.2% |
| 35-44 · unknown | 0.2% |
| 18-24 · female | 2.1% |
| 25-34 · female | 8.9% |
| 45-54 · female | 11.8% |
| 45-54 · male | 7.1% |
| 55-64 · female | 11.1% |
| 18-24 · male | 1.3% |
| 55-64 · unknown | 0.1% |
| 13-17 · female | 0.0% |
