Abdul El-Sayed US Inactive
Abdul for U.S. Senate
URGENT: New Poll
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Ad copy
🚨 A brand new poll was just released. 🚨 And when people hear what we’re fighting for — Medicare for All, ending corporate greed, standing up against genocide in Gaza or war in Iran, stopping Trump’s MAGA agenda — we win. That’s not by accident. At the start of this campaign, we made a bet that if we talk to people directly and show up early, they’ll respond — and this poll shows that the bet is working. We’ve proven that when people hear our message, we come out on top. Now, we have to make sure they hear it. Can you rush a $5 donation right now so we can keep up this momentum and reach even more voters?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 41.2/100 |
| Spend / Reach / Long. / Eff. | 29.2 · 69.3 · 1.9 · 64.3 |
| Spend range | USD 700–799 |
| Impressions | 45,000 – 49,999 |
| CPM (≈ $/1k impr) | USD 15.78 |
| Est. audience size | — |
| Days live | 8 (2026-03-25 → 2026-04-02) |
| Created | 2026-03-25 |
| 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 | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate, opponent |
| Symbols | none |
| Call to action | donate |
| Standout element | Bar chart favorability poll showing El-Sayed leading rivals McMorrow and Stevens with color-coded candidate photos |
| Tactic | Leverages a self-commissioned favorability poll as social proof to create momentum and urgency, driving small-dollar donations by framing the candidate as the winnable progressive choice. |
Where it ran (delivery by region)
| Michigan | 36.9% |
| California | 11.0% |
| Texas | 5.7% |
| New York | 5.5% |
| Illinois | 4.5% |
| Florida | 3.4% |
| Virginia | 2.5% |
Who saw it (delivery)
| 18-24 · female | 1.6% |
| 45-54 · unknown | 0.3% |
| Unknown · male | 0.0% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.2% |
| 65+ · male | 4.7% |
| 65+ · female | 3.4% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 5.2% |
| 55-64 · female | 3.0% |
| 45-54 · male | 9.9% |
| 18-24 · male | 6.1% |
| 45-54 · female | 4.6% |
| 35-44 · unknown | 0.5% |
| 35-44 · male | 22.0% |
| 35-44 · female | 8.2% |
| 25-34 · unknown | 0.6% |
| 25-34 · male | 21.7% |
| 25-34 · female | 7.5% |
| 18-24 · unknown | 0.3% |
| Unknown · unknown | 0.0% |
