Abdul El-Sayed US Inactive
Abdul for U.S. Senate
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Ad copy
AIPAC just told its donors they’re mobilizing to stop our campaign. The truth is, they’re afraid of what our movement represents: a future where our government stops funding genocide abroad and finally puts working people and human rights first. They’re gearing up to spend millions in this race to silence us. Here’s where I need your help: every grassroots donation helps us organize, reach voters, and make sure AIPAC’s millions can’t drown out our message or buy this seat. Will you chip in $10 or $15 today to help us prove AIPAC’s money can’t stop our people-powered movement?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 43.2/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 69.3 · 8.5 · 60.4 |
| Spend range | USD 1,000–1,499 |
| Impressions | 45,000 – 49,999 |
| CPM (≈ $/1k impr) | USD 26.31 |
| Est. audience size | — |
| Days live | 32 (2026-02-17 → 2026-03-21) |
| Created | 2026-01-27 |
| 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 | foreign policy defense |
| Framing | issue advocacy |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Reproduced AIPAC donor email calling El-Sayed 'dangerous' displayed as evidence against the opposition |
| Tactic | Classic judo fundraising tactic — turning an opponent's attack into a grassroots rallying cry by presenting the AIPAC email as proof the campaign threatens powerful interests, driving urgency-based small-dollar donations. |
Where it ran (delivery by region)
| Michigan | 18.4% |
| California | 13.1% |
| Texas | 7.2% |
| New York | 6.7% |
| Florida | 5.3% |
| Illinois | 4.8% |
| New Jersey | 3.1% |
Who saw it (delivery)
| 18-24 · female | 0.3% |
| 45-54 · male | 13.2% |
| 65+ · unknown | 0.4% |
| 65+ · male | 9.8% |
| 65+ · female | 8.6% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 9.4% |
| 55-64 · female | 7.0% |
| 45-54 · unknown | 0.4% |
| 45-54 · female | 7.9% |
| 18-24 · male | 1.0% |
| 35-44 · unknown | 0.5% |
| 35-44 · male | 18.2% |
| 35-44 · female | 8.5% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 10.2% |
| 25-34 · female | 3.9% |
| 18-24 · unknown | 0.1% |
| Unknown · male | 0.0% |
