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Chris Campbell US Inactive

Committee To Elect Campbell

Creative removed by Meta
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.

Ad copy

A very busy day at the State House. It began with Honoring the First Robotics programs throughout the state. I coached several First LEGO robotics teams when my children were younger and at Happy Hollow schools. Next I offered a Paid Family and Medical Leave program be established with 50 cents to $2 deductions from you paycheck to allow mom's to stay home with a newborn, individuals to care for loved ones or individuals to take advantage of a much needed partial wage replacement when needed. Finally I filed to run for office. I hope that I can count on your support to continue to be the State Representative for District 26. @ State Rep. Chris Campbell

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

Performance proxies

Overall score29.1/100
Spend / Reach / Long. / Eff.0.0 · 45.5 · 3.9 · 67.0
Spend range<USD 99
Impressions4,000 – 4,999
CPM (≈ $/1k impr)USD 11.0
Est. audience size
Days live15 (2020-01-12 → 2020-01-27)
Created2020-01-12
Creative variants1 body · 0 headline
Platformsfacebook
Languagesen
CandidateKY — Chris Campbell
Surfaced by“senate:Chris Campbell”

🧠 AI analysis

Issueother
Framingpositive candidate
Message typeawareness
Emotional appealneutral
Production tierdiy amateur
Who picturedcandidate
Symbolsnone
Call to actionnone
Standout elementFacebook content removal notice blocking the actual ad creative
TacticThe ad is rendered inaccessible by a platform policy violation notice, making any persuasion intent moot; the underlying copy blends personal biography with a paid family leave policy pitch to humanize the candidate.

Where it ran (delivery by region)

Indiana100.0%

Who saw it (delivery)

65+ · unknown 0.3%
25-34 · female 6.6%
45-54 · unknown 0.1%
55-64 · female 5.8%
65+ · male 4.6%
35-44 · female 4.7%
65+ · female 6.3%
45-54 · male 7.5%
18-24 · unknown 0.1%
35-44 · unknown 0.1%
45-54 · female 5.2%
55-64 · male 6.9%
35-44 · male 10.3%
25-34 · male 18.4%
18-24 · female 8.8%
18-24 · male 14.2%
25-34 · unknown 0.2%

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