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Juliana Stratton US Inactive

JULIANA FOR ILLINOIS

ad creative

A message from Senator Tammy Duckworth:

Ad copy

It’s Senator Tammy Duckworth. I’ll keep this quick: My friend Juliana Stratton is running for U.S. Senate, and with the primary rapidly approaching, this race is coming down to the wire. Juliana’s MAGA-backed opponent has spent millions trying to buy this seat. We can’t let that happen. I know Juliana has what it takes to win and serve alongside me in the Senate. But she’s counting on our help keeping her ads on air and reaching the voters she needs to win. If you can, please chip in right now to support Juliana’s campaign and help send her to Washington.

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Performance proxies

Overall score28.1/100
Spend / Reach / Long. / Eff.11.9 · 43.0 · 0.8 · 56.8
Spend rangeUSD 100–199
Impressions3,000 – 3,999
CPM (≈ $/1k impr)USD 42.72
Est. audience size
Days live4 (2026-03-09 → 2026-03-13)
Created2026-03-09
Creative variants1 body · 1 headline
Platformsfacebook, instagram
Languagesen
CandidateIL — Juliana Stratton
Surfaced by“senate:Juliana Stratton”

🧠 AI analysis

Issuedemocracy elections
Framingcontrast comparison
Message typefundraising
Emotional appealurgency
Production tiersemi pro
Who picturedcandidate, medical
Symbolsnone
Call to actiondonate
Standout elementSenator Tammy Duckworth personally appearing alongside the candidate in a casual coffee-chat setting to lend direct endorsement credibility
TacticLeverages Duckworth's trusted incumbent senator status as a third-party validator while framing the opponent as a MAGA-funded outsider trying to 'buy' the seat, combining urgency and peer pressure to drive small-dollar donations before the primary.

Where it ran (delivery by region)

Illinois58.2%
California5.8%
New York2.5%
Florida2.3%
Ohio1.8%
Missouri1.8%
Washington1.8%

Who saw it (delivery)

18-24 · female 0.5%
45-54 · male 3.8%
65+ · male 17.5%
65+ · female 34.1%
55-64 · unknown 0.5%
55-64 · male 7.1%
55-64 · female 13.5%
45-54 · unknown 0.2%
45-54 · female 8.2%
18-24 · male 0.9%
35-44 · unknown 0.1%
35-44 · male 3.1%
35-44 · female 4.7%
25-34 · unknown 0.1%
25-34 · male 2.5%
25-34 · female 2.2%
18-24 · unknown 0.1%
65+ · unknown 0.9%

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