Abdul El-Sayed US Inactive
Abdul for U.S. Senate
Chip in $10 >>>
Ad copy
I refuse to take a dime from AIPAC, corporate PACs, or billionaire donors. I never have – and I never will. That means I rely 100% on grassroots support to keep this campaign running. And right now, we have to prove that people-power can compete with the establishment’s money. This campaign has the polling and the vision to win — but we need the resources to maintain our momentum. Please chip in today — $5, $10, or whatever you can — and help us prove the power of this movement. Thank you in advance.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 42.9/100 |
| Spend / Reach / Long. / Eff. | 31.7 · 68.1 · 9.9 · 61.7 |
| Spend range | USD 900–999 |
| Impressions | 40,000 – 44,999 |
| CPM (≈ $/1k impr) | USD 22.34 |
| Est. audience size | — |
| Days live | 37 (2025-10-07 → 2025-11-13) |
| Created | 2025-10-07 |
| 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 | democracy elections |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | money cash |
| Call to action | donate |
| Standout element | bold red DONATE bar anchoring the bottom of the video frame, reinforcing the grassroots money appeal |
| Tactic | The ad uses a principled refusal pledge as a trust-building device, converting the candidate's self-imposed fundraising constraint into a moral differentiator that motivates small-dollar donors to fill the gap. |
Where it ran (delivery by region)
| Michigan | 25.0% |
| California | 11.4% |
| New York | 10.5% |
| Illinois | 6.9% |
| Texas | 5.2% |
| New Jersey | 4.9% |
| Virginia | 3.2% |
Who saw it (delivery)
| 18-24 · female | 1.1% |
| 45-54 · male | 12.2% |
| 65+ · male | 7.6% |
| 65+ · female | 6.3% |
| 55-64 · unknown | 0.4% |
| 55-64 · male | 8.8% |
| 55-64 · female | 5.4% |
| 45-54 · unknown | 0.4% |
| 45-54 · female | 7.4% |
| 18-24 · male | 3.1% |
| 35-44 · unknown | 0.6% |
| 35-44 · male | 17.1% |
| 35-44 · female | 10.0% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 12.0% |
| 25-34 · female | 6.7% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.3% |
