Abdul El-Sayed US Inactive
Abdul for U.S. Senate
New Poll
Ad copy
Abdul El-Sayed here with some news: New polling shows us up 10 points on our establishment opponents. Folks, this is HUGE. And it doesn’t happen by chance – it’s because of people like you. But the truth is, soon, outside groups are going to start spending big in an attempt to stop us. In fact, some already have. But this movement is stronger than their money. I know we can win this race, but I need your help. Will you chip in $5, $10, or whatever you’re able to help power this campaign through the finish line?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 48.3/100 |
| Spend / Reach / Long. / Eff. | 47.8 · 80.0 · 6.3 · 59.2 |
| Spend range | USD 4,000–4,499 |
| Impressions | 125,000 – 149,999 |
| CPM (≈ $/1k impr) | USD 30.91 |
| Est. audience size | — |
| Days live | 24 (2026-05-19 → 2026-06-12) |
| Created | 2026-05-19 |
| 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 | selfie-style video frame from a car seat creating an intimate, unpolished direct-to-camera appeal |
| Tactic | The ad uses a momentum-plus-threat fundraising formula — celebrating a polling surge to create excitement, then immediately pivoting to an outside-money threat to manufacture urgency for a small-dollar donation ask. |
Where it ran (delivery by region)
| Michigan | 53.5% |
| California | 6.9% |
| New York | 4.3% |
| Illinois | 3.2% |
| Texas | 3.0% |
| Florida | 2.3% |
| Ohio | 2.1% |
Who saw it (delivery)
| 18-24 · female | 1.0% |
| 45-54 · male | 9.1% |
| 65+ · unknown | 0.4% |
| 65+ · male | 8.4% |
| 65+ · female | 14.3% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 7.5% |
| 55-64 · female | 10.1% |
| 45-54 · unknown | 0.3% |
| 45-54 · female | 8.4% |
| 18-24 · male | 2.9% |
| 35-44 · unknown | 0.4% |
| 35-44 · male | 12.5% |
| 35-44 · female | 8.5% |
| 25-34 · unknown | 0.4% |
| 25-34 · male | 10.6% |
| 25-34 · female | 4.9% |
| 18-24 · unknown | 0.1% |
| Unknown · male | 0.0% |
