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Abdul El-Sayed US Inactive

Abdul for U.S. Senate

ad creative

Help us close the gap ➡️

Become a founding donor of our campaign today!

Ad copy

🚨 We’re within reach of winning the Democratic primary for Michigan’s open Senate seat. Let me explain: In the last poll, AIPAC’s preferred candidate was leading us by double digits. Now, they're up by just two points. I know that this campaign has the power it takes to win the primary next November, thanks to folks like you who fuel our movement. But now that the race is tightening, you can bet those deep-pocketed interests will double down to protect their candidate. That’s why I’m asking for your help. Can you help us keep up our momentum by rushing a donation of $10 or $15 today?

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Performance proxies

Overall score46.9/100
Spend / Reach / Long. / Eff.41.0 · 76.3 · 9.1 · 61.2
Spend rangeUSD 2,000–2,499
Impressions90,000 – 99,999
CPM (≈ $/1k impr)USD 23.68
Est. audience size
Days live34 (2025-10-22 → 2025-11-25)
Created2025-10-22
Creative variants1 body · 1 headline
Platformsfacebook, instagram
Languagesen
CandidateMI — Abdul El-Sayed
Surfaced by“senate:Abdul El-Sayed”

🧠 AI analysis

Issuedemocracy elections
Framingcontrast comparison
Message typefundraising
Emotional appealurgency
Production tiersemi pro
Who picturedcandidate
Symbolsnone
Call to actiondonate
Standout elementPoll bar chart showing El-Sayed closing a double-digit gap to within two points of the AIPAC-backed frontrunner
TacticThe ad uses a momentum narrative anchored by poll data to convert skeptics into donors, leveraging anti-AIPAC sentiment as a grassroots vs. big money contrast that creates urgency to give now before outside money floods in.

Where it ran (delivery by region)

Michigan48.0%
California6.6%
New York5.3%
Illinois4.1%
Texas4.0%
Florida2.6%
Ohio2.5%

Who saw it (delivery)

18-24 · female 0.6%
45-54 · male 11.0%
65+ · male 10.7%
65+ · female 8.0%
55-64 · unknown 0.3%
55-64 · male 8.2%
55-64 · female 5.0%
45-54 · unknown 0.4%
45-54 · female 6.1%
18-24 · male 2.3%
35-44 · unknown 0.7%
35-44 · male 17.7%
35-44 · female 8.7%
25-34 · unknown 0.6%
25-34 · male 13.0%
25-34 · female 6.3%
18-24 · unknown 0.1%
65+ · unknown 0.4%

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