Abdul El-Sayed US Inactive
Abdul for U.S. Senate
Chip in
Ad copy
Abdul El-Sayed here. This campaign doesn’t take money from corporate PACs. We’re powered entirely by grassroots supporters like you. Right now, this race is statistically tied, and what we do in this moment will determine who pulls ahead. We can’t afford to lose momentum. If you’re able, will you chip in $10 today so we can keep fighting?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 42.5/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 69.3 · 5.5 · 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 | 21 (2026-05-01 → 2026-05-22) |
| Created | 2026-05-01 |
| 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 | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | tight selfie-style close-up video creating an intimate, direct-to-camera appeal with a bold red DONATE button overlay |
| Tactic | The DIY selfie format paired with the 'no corporate PAC money' message is a trust-building tactic designed to make small donors feel personally responsible for keeping the race competitive in a statistically tied contest. |
Where it ran (delivery by region)
| Michigan | 37.8% |
| California | 10.2% |
| New York | 5.8% |
| Texas | 5.1% |
| Illinois | 4.0% |
| Florida | 3.5% |
| New Jersey | 2.8% |
Who saw it (delivery)
| 18-24 · female | 1.3% |
| 45-54 · male | 11.8% |
| 65+ · unknown | 0.3% |
| 65+ · male | 9.1% |
| 65+ · female | 8.9% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 10.0% |
| 55-64 · female | 7.3% |
| 45-54 · unknown | 0.3% |
| 45-54 · female | 6.8% |
| 18-24 · male | 3.6% |
| 35-44 · unknown | 0.4% |
| 35-44 · male | 14.2% |
| 35-44 · female | 7.1% |
| 25-34 · unknown | 0.4% |
| 25-34 · male | 12.7% |
| 25-34 · female | 5.3% |
| 18-24 · unknown | 0.2% |
| Unknown · female | 0.0% |
