Abdul El-Sayed US Inactive
Abdul for U.S. Senate
Donate to Abdul El-Sayed
Ad copy
Hi, it’s Pramila Jayapal. Right now in Michigan, dark money groups like AIPAC are spending millions of dollars trying to defeat Abdul El-Sayed’s Senate campaign. We’ve seen this playbook before: billionaire-funded attack ads meant to bury grassroots campaigns and ensure politicians answer to them, not voters. That’s exactly why they’re targeting Abdul. He’s been clear that our government must stop sending taxpayer dollars to fuel genocide in Gaza or war in Iran—and he refuses to take corporate PAC money. Abdul’s campaign is powered by people. He’s the real deal, and that’s why I’m supporting him. Please consider chipping in $5 to his fight today.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 46.8/100 |
| Spend / Reach / Long. / Eff. | 44.9 · 78.0 · 4.4 · 59.7 |
| Spend range | USD 3,000–3,499 |
| Impressions | 100,000 – 124,999 |
| CPM (≈ $/1k impr) | USD 28.88 |
| Est. audience size | — |
| Days live | 17 (2026-04-03 → 2026-04-20) |
| Created | 2026-04-02 |
| 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 | democracy elections |
| Framing | issue advocacy |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Celebrity endorser in red jacket speaking directly to camera with urgent anti-dark-money message and prominent DONATE button |
| Tactic | Leverages a trusted progressive surrogate (Pramila Jayapal) to trigger donor urgency by framing outside spending as an existential threat to a grassroots underdog campaign. |
Where it ran (delivery by region)
| Michigan | 27.2% |
| California | 12.0% |
| New York | 7.9% |
| Texas | 7.8% |
| Illinois | 5.0% |
| Florida | 3.9% |
| New Jersey | 3.6% |
Who saw it (delivery)
| 18-24 · female | 0.7% |
| 45-54 · male | 15.1% |
| 65+ · unknown | 0.4% |
| 65+ · male | 11.9% |
| 65+ · female | 7.6% |
| 55-64 · unknown | 0.4% |
| 55-64 · male | 11.8% |
| 55-64 · female | 6.0% |
| 45-54 · unknown | 0.5% |
| 45-54 · female | 6.5% |
| 18-24 · male | 2.0% |
| 35-44 · unknown | 0.4% |
| 35-44 · male | 16.5% |
| 35-44 · female | 6.5% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 9.5% |
| 25-34 · female | 3.7% |
| 18-24 · unknown | 0.1% |
| Unknown · female | 0.0% |
