Abdul for U.S. Senate
Hey friends — Abdul here. My team keeps making me record ad after ad… and honestly, I’m getting a little sick of it. But there’s a reason I keep showing up. I do this because I’m the only candidate in this race who’s never taken corporate PAC money, and never will. Instead of taking $100,000 checks from insurance agencies or Big Pharma, I have to ask everyday folks like you. If you don't want to take money from bad people trying to corrupt our politics, you have to ask good people for theirs. That’s why I record videos like this every single month. If you see this video and can chip in $5, $10, whatever you can to help us hit our goal and build a movement of the people by the people and for the people, I’d greatly appreciate it. Thanks in advance.
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 48.5/100 |
| Spend / Reach / Long. / Eff. | 41.0 · 72.4 · 22.0 · 58.4 |
| Spend range | USD 2,000–2,499 |
| Impressions | 60,000 – 69,999 |
| CPM (≈ $/1k impr) | USD 34.61 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 81 (2025-11-06 → 2026-01-26) |
| Created | 2025-11-06 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MI — Abdul El-Sayed |
| Surfaced by | “senate:Abdul El-Sayed” |
| Issue | economy taxes |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | money cash |
| Call to action | donate |
| Standout element | candidate in casual black shirt against dark moody background breaking fourth wall with direct, self-deprecating personal appeal |
| Tactic | The ad uses an anti-establishment, authentic-fatigue rhetorical device — the candidate pretending to be reluctant to fundraise — to build trust and lower resistance to a donation ask, framing small-dollar giving as a moral stand against corporate corruption. |
| Michigan | 46.8% |
| California | 7.1% |
| New York | 5.2% |
| Texas | 3.7% |
| Illinois | 3.5% |
| Florida | 3.0% |
| Ohio | 2.4% |
| 18-24 · female | 0.3% |
| 45-54 · male | 10.5% |
| 65+ · male | 10.9% |
| 65+ · female | 16.1% |
| 55-64 · unknown | 0.4% |
| 55-64 · male | 8.3% |
| 55-64 · female | 9.3% |
| 45-54 · unknown | 0.4% |
| 45-54 · female | 8.1% |
| 18-24 · male | 0.6% |
| 35-44 · unknown | 0.6% |
| 35-44 · male | 13.8% |
| 35-44 · female | 8.7% |
| 25-34 · unknown | 0.4% |
| 25-34 · male | 7.1% |
| 25-34 · female | 4.0% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.5% |