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Juliana Stratton US Inactive

JULIANA FOR ILLINOIS

ad creative

Juliana Stratton for Illinois

Juliana Stratton for Illinois

Ad copy

URGENT: One of my opponents just made a massive ad buy here in Illinois — and it’s clear they’re preparing to flood the airwaves to drown out our grassroots, people-powered movement. We can't let these ads go unanswered. Can you chip in $3, $25, or whatever you can today to help us respond to these ads and keep building our people-powered campaign?
URGENT: One of my opponents just made a massive ad buy here in Illinois — and it’s clear they’re preparing to flood the airwaves to drown out our grassroots, people-powered movement. We can't let these ads go unanswered. Can you chip in $3, $25, or whatever you can today to help us respond to these ads and keep building our people-powered campaign?

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Performance proxies

Overall score35.8/100
Spend / Reach / Long. / Eff.34.7 · 53.0 · 7.2 · 48.4
Spend rangeUSD 1,000–1,499
Impressions9,000 – 9,999
CPM (≈ $/1k impr)USD 131.53
Est. audience size
Days live27 (2025-07-16 → 2025-08-12)
Created2025-07-16
Creative variants2 body · 2 headline
Platformsfacebook, instagram
Languagesen
CandidateIL — Juliana Stratton
Surfaced by“senate:Juliana Stratton”

🧠 AI analysis

Issuedemocracy elections
Framingpositive candidate
Message typefundraising
Emotional appealurgency
Production tiersemi pro
Who picturedcandidate
Symbolscapitol statue, money cash
Call to actiondonate
Standout elementThe Pantagraph newspaper headline lending third-party credibility to candidate's anti-corporate-PAC pledge
TacticClassic URGENT fundraising tactic pairs an external news validation (borrowed credibility) with a manufactured scarcity moment—opponent's ad buy—to convert concern into immediate small-dollar donations.

Where it ran (delivery by region)

California19.3%
New York7.7%
Texas7.2%
Illinois5.8%
Florida4.7%
Maryland3.5%
Georgia3.4%

Who saw it (delivery)

18-24 · female 0.8%
45-54 · male 4.3%
65+ · male 18.0%
65+ · female 31.5%
55-64 · unknown 0.2%
55-64 · male 8.5%
55-64 · female 14.8%
45-54 · unknown 0.1%
45-54 · female 6.4%
18-24 · male 1.8%
35-44 · unknown 0.2%
35-44 · male 3.1%
35-44 · female 4.0%
25-34 · unknown 0.1%
25-34 · male 3.2%
25-34 · female 2.4%
18-24 · unknown 0.1%
65+ · unknown 0.5%

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