Abdul for U.S. Senate
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🚨 We’re within reach of winning the Democratic primary for Michigan’s open Senate seat. Let me explain: In the last poll, AIPAC’s preferred candidate was leading us by double digits. Now, they're up by just two points. I know that this campaign has the power it takes to win the primary next November, thanks to folks like you who fuel our movement. But now that the race is tightening, you can bet those deep-pocketed interests will double down to protect their candidate. That’s why I’m asking for your help. Can you help us keep up our momentum by rushing a donation of $10 or $15 today?
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 46.9/100 |
| Spend / Reach / Long. / Eff. | 41.0 · 76.3 · 9.1 · 61.2 |
| Spend range | USD 2,000–2,499 |
| Impressions | 90,000 – 99,999 |
| CPM (≈ $/1k impr) | USD 23.68 |
| Est. audience size | — |
| Days live | 34 (2025-10-22 → 2025-11-25) |
| Created | 2025-10-22 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MI — Abdul El-Sayed |
| Surfaced by | “senate:Abdul El-Sayed” |
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Poll bar chart showing El-Sayed closing a double-digit gap to within two points of the AIPAC-backed frontrunner |
| Tactic | The ad uses a momentum narrative anchored by poll data to convert skeptics into donors, leveraging anti-AIPAC sentiment as a grassroots vs. big money contrast that creates urgency to give now before outside money floods in. |
| Michigan | 48.0% |
| California | 6.6% |
| New York | 5.3% |
| Illinois | 4.1% |
| Texas | 4.0% |
| Florida | 2.6% |
| Ohio | 2.5% |
| 18-24 · female | 0.6% |
| 45-54 · male | 11.0% |
| 65+ · male | 10.7% |
| 65+ · female | 8.0% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 8.2% |
| 55-64 · female | 5.0% |
| 45-54 · unknown | 0.4% |
| 45-54 · female | 6.1% |
| 18-24 · male | 2.3% |
| 35-44 · unknown | 0.7% |
| 35-44 · male | 17.7% |
| 35-44 · female | 8.7% |
| 25-34 · unknown | 0.6% |
| 25-34 · male | 13.0% |
| 25-34 · female | 6.3% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.4% |