Abdul for U.S. Senate
Early in my career, Bernie Sanders gave me a piece of advice I’ve never forgotten. He said, “In politics, people succeed either by being really good at lying or really good at telling the truth. You strike me as someone who’s not good at lying — so your job is to get really good at telling the truth.” Here’s the truth: we’re just two points behind the AIPAC-backed candidate and we have the momentum to win. We’re working hard to raise as much as we can to prove that our people-powered campaign — one that rejects AIPAC and corporate PAC money — has enough resources to take on the establishment and win. But I’m relying on folks like you who care about the future of our party and our country to make it possible. Will you chip in $10 or $15 today to help power this movement?
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 44.2/100 |
| Spend / Reach / Long. / Eff. | 41.0 · 73.9 · 2.5 · 59.5 |
| Spend range | USD 2,000–2,499 |
| Impressions | 70,000 – 79,999 |
| CPM (≈ $/1k impr) | USD 29.99 |
| Est. audience size | — |
| Days live | 10 (2026-01-29 → 2026-02-08) |
| Created | 2026-01-27 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MI — Abdul El-Sayed |
| Surfaced by | “senate:Abdul El-Sayed” |
| Issue | foreign policy defense |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | hope |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Bernie Sanders name-drop as credibility anchor in subtitle overlay |
| Tactic | The ad uses a Bernie Sanders endorsement anecdote and the 'truth-teller vs. establishment money' contrast to build grassroots urgency and drive small-dollar donations against an AIPAC-backed opponent. |
| Michigan | 42.2% |
| California | 7.8% |
| New York | 5.3% |
| Texas | 4.1% |
| Illinois | 3.6% |
| Florida | 2.7% |
| Ohio | 2.5% |
| 18-24 · female | 0.9% |
| 45-54 · male | 9.8% |
| 65+ · male | 8.2% |
| 65+ · female | 10.7% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 7.2% |
| 55-64 · female | 7.8% |
| 45-54 · unknown | 0.4% |
| 45-54 · female | 8.4% |
| 18-24 · male | 2.2% |
| 35-44 · unknown | 0.5% |
| 35-44 · male | 14.9% |
| 35-44 · female | 10.6% |
| 25-34 · unknown | 0.4% |
| 25-34 · male | 11.0% |
| 25-34 · female | 6.2% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.3% |