Abdul for U.S. Senate
I’ll be honest with you: asking for money is my least favorite part of this job. I know how hard folks work for every dollar. But I want to tell you why I’m asking anyway. At the end of every quarter, campaign finance reports go public. The political class pores over them, stacks candidates up next to one another, and decides who they think is “viable.” If our numbers showcase our strength, we’ll earn more media attention, more endorsements, and more enthusiasm to fuel our volunteering and grassroots fundraising. However, if we fall short, the establishment will try to write us off before voters ever have their say. That’s why this matters so much. And unlike other candidates in this race, I’m the only one who’s never taken money from corporate PACs or AIPAC, and never will. Will you chip in $15 to help us reach our end-of-year goal and keep our campaign moving forward?
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| Overall score | 47.6/100 |
| Spend / Reach / Long. / Eff. | 44.9 · 80.0 · 4.4 · 61.2 |
| Spend range | USD 3,000–3,499 |
| Impressions | 125,000 – 149,999 |
| CPM (≈ $/1k impr) | USD 23.63 |
| Est. audience size | — |
| Days live | 17 (2025-12-16 → 2026-01-02) |
| Created | 2025-12-16 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MI — Abdul El-Sayed |
| Surfaced by | “senate:Abdul El-Sayed” |
| Issue | healthcare |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | empathy |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | healthcare |
| Call to action | donate |
| Standout element | Stack of 'Medicare for All' books prominently visible on shelf behind candidate |
| Tactic | Uses radical authenticity and self-deprecating honesty about fundraising to disarm donors and build trust, framing the ask as a grassroots vs. establishment battle rather than a simple donation appeal. |
| Michigan | 27.7% |
| California | 11.0% |
| New York | 7.5% |
| Texas | 7.0% |
| Illinois | 5.7% |
| New Jersey | 3.9% |
| Florida | 3.8% |
| 18-24 · female | 1.3% |
| 45-54 · male | 13.3% |
| 65+ · male | 6.4% |
| 65+ · female | 4.2% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 8.4% |
| 55-64 · female | 3.9% |
| 45-54 · unknown | 0.4% |
| 45-54 · female | 5.8% |
| 18-24 · male | 3.9% |
| 35-44 · unknown | 0.4% |
| 35-44 · male | 20.7% |
| 35-44 · female | 8.2% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 15.8% |
| 25-34 · female | 6.3% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.2% |