Abdul for U.S. Senate
I’m Abdul El-Sayed, and I’m running for U.S. Senate in Michigan because it shouldn’t be this hard to get by—and together, it doesn’t have to be. Bernie and I understand Donald Trump is the worst system of a bigger disease—a system that allows billionaires like Elon Musk to buy elections and megacorporations to undermine our democracy. Our movement offers something different than what you’ll see from other politicians. Because we’re fighting for systemic change. It’s about taking back our democracy from the monopolies jacking up your grocery bill and the politicians who help them do it. And it starts with winning this race without taking a dime from corporate PACs—we’ll be funded by grassroots supporters like you. If you’re with me, please chip in what you can to fuel our movement. Thank you. – Abdul
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 41.5/100 |
| Spend / Reach / Long. / Eff. | 31.7 · 68.1 · 4.7 · 61.7 |
| Spend range | USD 900–999 |
| Impressions | 40,000 – 44,999 |
| CPM (≈ $/1k impr) | USD 22.34 |
| Est. audience size | — |
| Days live | 18 (2026-03-24 → 2026-04-11) |
| Created | 2026-03-24 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MI — Abdul El-Sayed |
| Surfaced by | “senate:Abdul El-Sayed” |
| Issue | democracy elections |
| Framing | issue advocacy |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Bernie Sanders speaking at a 'FIGHT OLIGARCHY' podium used as credibility anchor for the candidate |
| Tactic | The ad borrows Bernie Sanders' high-trust brand and anti-oligarchy framing to drive small-dollar donations by casting billionaires like Musk as existential threats to democracy. |
| Michigan | 37.5% |
| California | 9.9% |
| New York | 6.2% |
| Texas | 5.3% |
| Illinois | 4.3% |
| Florida | 3.7% |
| New Jersey | 2.7% |
| 18-24 · female | 0.9% |
| 45-54 · unknown | 0.3% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.5% |
| 65+ · male | 10.7% |
| 65+ · female | 12.0% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 8.4% |
| 55-64 · female | 7.3% |
| 45-54 · male | 11.1% |
| 18-24 · male | 3.0% |
| 45-54 · female | 6.4% |
| 35-44 · unknown | 0.4% |
| 35-44 · male | 15.1% |
| 35-44 · female | 7.0% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 11.8% |
| 25-34 · female | 4.3% |
| 18-24 · unknown | 0.2% |
| Unknown · male | 0.0% |