Abdul El-Sayed US Inactive
Abdul for U.S. Senate
Defend science in government
Ad copy
When RFK Jr. testified before Congress, he doubled down on dismantling the CDC, spreading vaccine conspiracy theories, and slashing medical research. That’s not leadership—it’s reckless. I’ve walked the halls of the CDC and seen the public servants who protect us every day. I rebuilt Detroit’s Health Department, wrote the book on Medicare for All, and led Michigan’s largest local health agency. If I’m elected, I’ll be the only former public health official in the Senate—and I’ll make sure RFK Jr. is held accountable for his dangerous agenda. Chip in now to support my campaign for U.S. Senate. It’s time to send science—not conspiracy theories—to Washington.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 44.4/100 |
| Spend / Reach / Long. / Eff. | 49.0 · 69.3 · 8.8 · 50.5 |
| Spend range | USD 4,500–4,999 |
| Impressions | 45,000 – 49,999 |
| CPM (≈ $/1k impr) | USD 99.99 |
| Est. audience size | — |
| Days live | 33 (2025-09-24 → 2025-10-27) |
| Created | 2025-09-24 |
| 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 | contrast comparison |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | candidate, medical |
| Symbols | healthcare |
| Call to action | donate |
| Standout element | Candidate speaking directly to camera against a raw brick wall with subtitle caption mid-sentence, creating an urgent testimonial feel |
| Tactic | The ad uses a contrast/attack tactic pairing RFK Jr.'s recklessness against El-Sayed's unique physician-public-health-official credentials to justify both the fear appeal and the fundraising ask. |
Where it ran (delivery by region)
| Michigan | 16.8% |
| California | 7.5% |
| New York | 6.6% |
| Washington | 5.4% |
| Illinois | 5.2% |
| Massachusetts | 4.9% |
| Pennsylvania | 4.8% |
Who saw it (delivery)
| 18-24 · female | 0.0% |
| 45-54 · male | 3.7% |
| 65+ · male | 27.2% |
| 65+ · female | 36.8% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 7.6% |
| 55-64 · female | 11.0% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.9% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 2.6% |
| 35-44 · female | 2.7% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.1% |
| 25-34 · female | 0.9% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.8% |
