Abdul El-Sayed US ● Active
Abdul for U.S. Senate
This is urgent
Ad copy
This is urgent. Our primary election is right around the corner, and if we’re going to pull off this win, we need to see a big spike in fundraising numbers. Rush a donation right now ➡️➡️➡️
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 43.8/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 73.9 · 2.8 · 63.9 |
| Spend range | USD 1,000–1,499 |
| Impressions | 70,000 – 79,999 |
| CPM (≈ $/1k impr) | USD 16.66 |
| Est. audience size | — |
| Days live | 11 (2026-06-18 → active) |
| Created | 2026-06-17 |
| 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 | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | healthcare, none |
| Call to action | donate |
| Standout element | candidate playfully peering over a mason jar of colorful peonies with Medicare for All signage visible behind him |
| Tactic | The warm, quirky image of the candidate smelling flowers humanizes him while the urgent fundraising copy and repeated arrow CTAs create a squeeze-play between likability and manufactured deadline pressure to drive donations. |
Where it ran (delivery by region)
| Michigan | 58.3% |
| California | 6.2% |
| New York | 5.0% |
| Illinois | 3.4% |
| Texas | 2.5% |
| Ohio | 1.8% |
| Florida | 1.8% |
Who saw it (delivery)
| 18-24 · female | 3.4% |
| 45-54 · unknown | 0.2% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.1% |
| 65+ · male | 3.5% |
| 65+ · female | 6.1% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 4.2% |
| 55-64 · female | 6.0% |
| 45-54 · male | 6.6% |
| 18-24 · male | 6.4% |
| 45-54 · female | 7.1% |
| 35-44 · unknown | 0.5% |
| 35-44 · male | 13.5% |
| 35-44 · female | 11.8% |
| 25-34 · unknown | 0.7% |
| 25-34 · male | 17.1% |
| 25-34 · female | 12.1% |
| 18-24 · unknown | 0.3% |
| Unknown · male | 0.0% |
