Abdul El-Sayed US Inactive
Abdul for U.S. Senate
Bernie just endorsed Abdul.
Ad copy
If anyone knows what it means to take on corporate greed, billionaires, and the political machine that puts profit over people – it’s Bernie Sanders. As I begin the race to represent Michigan in the Senate, leaders like Bernie inspire me to work harder to deliver real, lasting progress. I am committed to fighting for Medicare for All, a higher minimum wage, and a government that works for all of us. If you’re with me and Bernie, please consider chipping in and helping us to build this campaign. We need you.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 42.9/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 61.7 · 20.4 · 54.9 |
| Spend range | USD 1,000–1,499 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 55.53 |
| Est. audience size | — |
| Days live | 75 (2025-05-08 → 2025-07-22) |
| Created | 2025-05-08 |
| 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 | hope |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Bernie Sanders endorsement leveraged as the central credibility anchor, with the candidate speaking directly to camera in urgent appeal |
| Tactic | The ad deploys borrowed authority from Bernie Sanders' brand to instantly validate the progressive insurgent candidate, using the endorsement as both a trust signal and a rallying cry to drive small-dollar donations via ActBlue. |
Where it ran (delivery by region)
| Michigan | 26.0% |
| New York | 7.5% |
| California | 5.4% |
| Washington | 5.3% |
| Massachusetts | 5.0% |
| Ohio | 4.4% |
| Illinois | 4.2% |
Who saw it (delivery)
| 18-24 · female | 0.7% |
| 45-54 · male | 7.6% |
| 65+ · male | 14.5% |
| 65+ · female | 16.0% |
| 55-64 · unknown | 0.4% |
| 55-64 · male | 9.1% |
| 55-64 · female | 8.4% |
| 45-54 · unknown | 0.3% |
| 45-54 · female | 6.5% |
| 18-24 · male | 1.9% |
| 35-44 · unknown | 0.4% |
| 35-44 · male | 11.3% |
| 35-44 · female | 7.7% |
| 25-34 · unknown | 0.6% |
| 25-34 · male | 8.8% |
| 25-34 · female | 5.1% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.5% |
