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Abdul El-Sayed US ● Active

Abdul for U.S. Senate

ad creative

Pitch in

Show your support with a contribution.

Ad copy

The newest poll has me worried. We’re in the lead, but our opponent and her AIPAC dollars are reaching undecided voters, and now she’s surged by 15 points in this latest poll. We can’t lose our momentum now. If we can keep our ads on the air and reach Michiganders who haven’t heard our case yet, we’ll hold on to our lead and win. But if AIPAC dominates the airwaves, we could lose steam. This is a make-or-break moment, and donations from grassroots donors like you are the only thing standing between us and AIPAC buying this seat. So if you can, will you chip in $5 right now so we can hold our lead?

↗ View in Meta Ad Library (the live creative — image/video/layout)

Performance proxies

Overall score46.7/100
Spend / Reach / Long. / Eff.41.0 · 80.0 · 1.7 · 64.0
Spend rangeUSD 2,000–2,499
Impressions125,000 – 149,999
CPM (≈ $/1k impr)USD 16.36
Est. audience size
Days live7 (2026-06-22 → active)
Created2026-06-22
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 appealfear
Production tiersemi pro
Who picturedcandidate
Symbolsmoney cash
Call to actiondonate
Standout elementRed arrow pointing down to opponent's surging poll number, contrasting blue text labeling her as the 'AIPAC Opponent'
TacticClassic fear-based fundraising urgency tactic: framing a poll surge as a financial threat to mobilize grassroots donors against a named outside antagonist (AIPAC), positioning small donations as the democratic counterweight to corporate/PAC money.

Where it ran (delivery by region)

Michigan44.7%
California8.0%
New York7.8%
Illinois4.2%
Texas3.4%
New Jersey2.4%
Florida2.3%

Who saw it (delivery)

18-24 · female 3.0%
45-54 · unknown 0.2%
Unknown · female 0.0%
65+ · unknown 0.2%
65+ · male 4.3%
65+ · female 4.6%
55-64 · unknown 0.2%
55-64 · male 4.7%
55-64 · female 3.7%
45-54 · male 7.3%
18-24 · male 8.0%
45-54 · female 4.9%
35-44 · unknown 0.5%
35-44 · male 16.8%
35-44 · female 8.9%
25-34 · unknown 0.7%
25-34 · male 21.2%
25-34 · female 10.4%
18-24 · unknown 0.3%
Unknown · male 0.0%

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