Abdul El-Sayed US Inactive
Abdul for U.S. Senate
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Ad copy
AIPAC’s Super PAC – United Democracy has almost $100 million cash on hand. That’s a mind-boggling amount of money that can be used to take down campaigns like ours. I’ve been clear about opposing endless wars and refusing AIPAC money, and that makes me a target. If they start dumping cash into Michigan to attack me and the movement we’re building, the only thing that will allow us to stand up to their millions is grassroots support. Fundraising early is how we prepare. It lets us organize, respond quickly, and stay focused on what this race is really about: Fighting for Medicare for All and a government that uplifts working people, not special interests. If you believe in that vision, please chip in $10 today. While $10 or $15 might not seem like much compared to AIPAC’s millions, it makes a real difference when thousands of people step up together.
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Performance proxies
| Overall score | 60.4/100 |
| Spend / Reach / Long. / Eff. | 65.7 · 99.5 · 15.2 · 61.2 |
| Spend range | USD 20,000–24,999 |
| Impressions | 900,000 – 999,999 |
| CPM (≈ $/1k impr) | USD 23.68 |
| Est. audience size | — |
| Days live | 56 (2026-02-05 → 2026-04-02) |
| Created | 2026-02-05 |
| 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 | foreign policy defense |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | money cash |
| Call to action | donate |
| Standout element | Tight close-up selfie-style video frame conveying urgent, unfiltered authenticity |
| Tactic | Classic grassroots-vs-Goliath fear fundraising tactic: naming a powerful outside enemy (AIPAC's $100M Super PAC) to create urgency and position the candidate as the scrappy, principled underdog who needs small-dollar donors to survive. |
Where it ran (delivery by region)
| Michigan | 33.1% |
| California | 10.8% |
| New York | 6.5% |
| Texas | 5.3% |
| Illinois | 5.2% |
| Florida | 3.6% |
| Ohio | 2.8% |
Who saw it (delivery)
| 18-24 · female | 1.9% |
| 45-54 · unknown | 0.3% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.2% |
| 65+ · male | 6.6% |
| 65+ · female | 6.1% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 7.2% |
| 55-64 · female | 5.0% |
| 45-54 · male | 10.6% |
| 18-24 · male | 5.2% |
| 45-54 · female | 6.2% |
| 35-44 · unknown | 0.5% |
| 35-44 · male | 16.5% |
| 35-44 · female | 8.8% |
| 25-34 · unknown | 0.6% |
| 25-34 · male | 16.2% |
| 25-34 · female | 7.4% |
| 18-24 · unknown | 0.3% |
| Unknown · male | 0.0% |
