Abdul for U.S. Senate
It’s Dr. Abdul El-Sayed – I have a big update on the state of the U.S. Senate race in Michigan ☝🏼 The National Republican Senatorial Committee just released a poll of Michigan’s Senate Democratic primary. They’re already spending big to gauge our momentum — and figure out how to shut us down. But that same poll puts us just two points behind the AIPAC-backed frontrunner in this race. That result sends a message: our people-powered movement is real, and we’re within striking distance. We’ve gotten this far without a dime of corporate PAC money. But to close the gap, counter the flood of dark money, and win this race, we need to show up — together. Can you rush a donation today to help us close the gap and maintain our momentum? Let’s prove that a people-powered campaign can take on the political establishment and win.
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| Overall score | 44.7/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 69.3 · 13.2 · 57.9 |
| Spend range | USD 1,500–1,999 |
| Impressions | 45,000 – 49,999 |
| CPM (≈ $/1k impr) | USD 36.83 |
| Est. audience size | — |
| Days live | 49 (2025-07-09 → 2025-08-27) |
| Created | 2025-07-09 |
| 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 | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Bar chart showing El-Sayed closing the gap against frontrunners, visually dramatizing momentum with a 'CLOSE THE GAP' red CTA button |
| Tactic | The ad leverages an opponent's own poll as social proof of momentum, converting a trailing position into an urgency-driven fundraising hook by framing the gap as closeable with grassroots dollars. |
| Michigan | 38.7% |
| California | 8.7% |
| New York | 8.2% |
| Illinois | 4.7% |
| Texas | 4.6% |
| New Jersey | 3.0% |
| Florida | 2.5% |
| 18-24 · female | 0.8% |
| 45-54 · male | 9.3% |
| 65+ · male | 11.2% |
| 65+ · female | 13.2% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 7.9% |
| 55-64 · female | 6.8% |
| 45-54 · unknown | 0.3% |
| 45-54 · female | 5.9% |
| 18-24 · male | 3.9% |
| 35-44 · unknown | 0.5% |
| 35-44 · male | 14.8% |
| 35-44 · female | 7.3% |
| 25-34 · unknown | 0.4% |
| 25-34 · male | 12.6% |
| 25-34 · female | 4.4% |
| 18-24 · unknown | 0.2% |
| 65+ · unknown | 0.4% |