Abdul El-Sayed US ● Active
Abdul for U.S. Senate
Pitch in today
Ad copy
Right now, we’re facing a budget gap that threatens to stall our organizing efforts – and frankly, we’re just not seeing the momentum we need to close it. I get it. It’s summer, people are traveling, and politics might be the last thing on your mind. But a summer slump is exactly what AIPAC and corporate PACs are counting on to buy this election for their preferred candidate. We can’t afford to tune out. Can you pitch in $5, $10 – whatever you can – right now so we can keep our organizers on the ground and win this election? Thank you.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 48.9/100 |
| Spend / Reach / Long. / Eff. | 49.0 · 83.1 · 2.8 · 60.7 |
| Spend range | USD 4,500–4,999 |
| Impressions | 175,000 – 199,999 |
| CPM (≈ $/1k impr) | USD 25.33 |
| Est. audience size | — |
| Days live | 11 (2026-06-18 → active) |
| Created | 2026-06-17 |
| 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 | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | healthcare, money cash |
| Call to action | donate |
| Standout element | candidate grinning warmly while sniffing colorful peonies in a mason jar, disarming juxtaposition with urgent fundraising ask |
| Tactic | The playful, humanizing flower image cuts through summer donor fatigue while the copy creates urgency by naming AIPAC and corporate PACs as the threat counting on donor apathy. |
Where it ran (delivery by region)
| Michigan | 49.2% |
| California | 7.2% |
| New York | 7.0% |
| Illinois | 3.8% |
| Texas | 3.1% |
| Florida | 2.1% |
| Massachusetts | 2.1% |
Who saw it (delivery)
| 18-24 · female | 2.4% |
| 45-54 · unknown | 0.2% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.2% |
| 65+ · male | 4.4% |
| 65+ · female | 7.7% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 4.6% |
| 55-64 · female | 6.8% |
| 45-54 · male | 6.8% |
| 18-24 · male | 5.7% |
| 45-54 · female | 7.3% |
| 35-44 · unknown | 0.5% |
| 35-44 · male | 14.4% |
| 35-44 · female | 11.1% |
| 25-34 · unknown | 0.7% |
| 25-34 · male | 16.3% |
| 25-34 · female | 10.3% |
| 18-24 · unknown | 0.3% |
| Unknown · male | 0.0% |
