Abdul for U.S. Senate
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In 2026, Michigan will be one of the biggest battlegrounds in the country – and this Senate race will be one of the most competitive and most expensive races in the country. It’s clear that Republicans see Michigan as the easiest path to expanding their Senate majority, and they’re going to spend millions to elect MAGA-Republican Mike Rogers. That’s why the Progressive Caucus has endorsed Abdul El-Sayed. Because they know that he's the strongest candidate to take on the MAGA machine and win. Abdul doesn’t take a dime from corporate PACs, which means we rely entirely on grassroots support from people like you. Will you chip in $5 today to help us compete and win?
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 41.8/100 |
| Spend / Reach / Long. / Eff. | 31.7 · 68.1 · 5.5 · 61.7 |
| Spend range | USD 900–999 |
| Impressions | 40,000 – 44,999 |
| CPM (≈ $/1k impr) | USD 22.34 |
| Est. audience size | — |
| Days live | 21 (2026-03-02 → 2026-03-23) |
| Created | 2026-03-02 |
| 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 | NBC News chyron overlaid above candidate with Detroit skyline backdrop lending mainstream media credibility |
| Tactic | The ad borrows NBC News authority to frame the Michigan race as nationally consequential, then pivots to urgency-driven fundraising by casting the opponent as a MAGA threat requiring grassroots resistance. |
| Michigan | 53.6% |
| California | 6.7% |
| New York | 4.4% |
| Illinois | 4.2% |
| Texas | 4.1% |
| Florida | 2.6% |
| Ohio | 2.1% |
| 18-24 · female | 0.8% |
| 45-54 · unknown | 0.3% |
| Unknown · male | 0.0% |
| 65+ · unknown | 0.3% |
| 65+ · male | 8.4% |
| 65+ · female | 10.7% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 7.5% |
| 55-64 · female | 6.4% |
| 45-54 · male | 10.8% |
| 18-24 · male | 2.8% |
| 45-54 · female | 7.1% |
| 35-44 · unknown | 0.4% |
| 35-44 · male | 17.2% |
| 35-44 · female | 8.7% |
| 25-34 · unknown | 0.4% |
| 25-34 · male | 12.5% |
| 25-34 · female | 5.2% |
| 18-24 · unknown | 0.1% |
| Unknown · unknown | 0.0% |