Abdul El-Sayed US Inactive
Abdul for U.S. Senate
Donate
Ad copy
I don’t like having to ask for money. But as the only candidate in this race who has never taken a dime from corporate PACs, we need to be constantly fundraising so we can compete. Can you pitch in $5 or $10 today so we can keep up our strong momentum? (and help spare you from more of these ads!)
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 46.1/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 76.3 · 6.9 · 63.1 |
| Spend range | USD 1,500–1,999 |
| Impressions | 90,000 – 99,999 |
| CPM (≈ $/1k impr) | USD 18.42 |
| Est. audience size | — |
| Days live | 26 (2026-05-01 → 2026-05-27) |
| 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 | economy taxes |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | empathy |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | self-deprecating humor baked into the overlay text breaking the fourth wall |
| Tactic | The ad uses disarming self-awareness and humor ('spare you from more of these ads!') to lower donor resistance, pairing the candidate's no-corporate-PAC credibility as a moral justification for the small-dollar ask. |
Where it ran (delivery by region)
| Michigan | 44.9% |
| California | 8.7% |
| New York | 5.3% |
| Texas | 4.1% |
| Illinois | 4.1% |
| Florida | 2.4% |
| New Jersey | 2.4% |
Who saw it (delivery)
| 18-24 · female | 1.4% |
| 45-54 · unknown | 0.4% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.3% |
| 65+ · male | 6.9% |
| 65+ · female | 7.6% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 8.1% |
| 55-64 · female | 6.8% |
| 45-54 · male | 11.1% |
| 18-24 · male | 4.6% |
| 45-54 · female | 6.7% |
| 35-44 · unknown | 0.4% |
| 35-44 · male | 15.6% |
| 35-44 · female | 8.5% |
| 25-34 · unknown | 0.6% |
| 25-34 · male | 14.7% |
| 25-34 · female | 5.9% |
| 18-24 · unknown | 0.2% |
| Unknown · male | 0.0% |
