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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 score42.2/100
Spend / Reach / Long. / Eff.34.7 · 63.8 · 13.8 · 56.4
Spend rangeUSD 1,000–1,499
Impressions25,000 – 29,999
CPM (≈ $/1k impr)USD 45.44
Est. audience size
Days live51 (2025-07-16 → 2025-09-05)
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)

Illinois100.0%

Who saw it (delivery)

18-24 · female 1.2%
45-54 · male 4.8%
65+ · male 9.6%
65+ · female 24.3%
55-64 · unknown 0.3%
55-64 · male 6.7%
55-64 · female 16.6%
45-54 · unknown 0.3%
45-54 · female 11.6%
18-24 · male 1.2%
35-44 · unknown 0.3%
35-44 · male 4.9%
35-44 · female 9.2%
25-34 · unknown 0.2%
25-34 · male 3.3%
25-34 · female 5.2%
18-24 · unknown 0.0%
65+ · unknown 0.5%

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