Abdul El-Sayed US Inactive
Abdul for U.S. Senate
Donate to Abdul El-Sayed
Ad copy
Michigan has the opportunity to send Abdul El-Sayed to the United States Senate. He’s a doctor — he’s actually written the book on Medicare for All. He’s the only candidate in this race who has never taken a corporate PAC check. And he’s part of the new generation that will take on corporate interests, Super PACs, and come up with the radical idea that maybe the United States government — and our economy — should work for all of us, and not just the 1%. That is the guy who we need in Washington D.C. I need a fighter by my side, and Abdul will be that fighter. Donate $5 right now to Abdul’s campaign.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 42.8/100 |
| Spend / Reach / Long. / Eff. | 41.0 · 69.3 · 4.7 · 56.1 |
| Spend range | USD 2,000–2,499 |
| Impressions | 45,000 – 49,999 |
| CPM (≈ $/1k impr) | USD 47.36 |
| Est. audience size | — |
| Days live | 18 (2026-04-13 → 2026-05-01) |
| Created | 2026-04-13 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MI — Abdul El-Sayed |
| Surfaced by | “senate:Abdul El-Sayed” |
🧠 AI analysis
| Issue | healthcare |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | hope |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | us flag, healthcare |
| Call to action | donate |
| Standout element | Bernie Sanders visibly endorsing El-Sayed on stage — borrowed political star power as credibility anchor |
| Tactic | The ad leverages a high-profile Bernie Sanders endorsement moment paired with anti-corporate-PAC credibility claims to drive small-dollar donations from the progressive grassroots base. |
Where it ran (delivery by region)
| California | 17.1% |
| Michigan | 12.4% |
| New York | 11.1% |
| Florida | 5.2% |
| Texas | 4.7% |
| Illinois | 4.2% |
| Massachusetts | 4.1% |
Who saw it (delivery)
| 18-24 · female | 0.4% |
| 45-54 · male | 7.1% |
| 65+ · male | 14.3% |
| 65+ · female | 25.7% |
| 55-64 · unknown | 0.4% |
| 55-64 · male | 8.4% |
| 55-64 · female | 11.0% |
| 45-54 · unknown | 0.3% |
| 45-54 · female | 6.5% |
| 18-24 · male | 1.3% |
| 35-44 · unknown | 0.3% |
| 35-44 · male | 8.1% |
| 35-44 · female | 5.4% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 6.5% |
| 25-34 · female | 3.3% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.8% |
