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Veronica Fernandez for US Senate US Inactive

VERONICA FERNANDEZ FOR US SENATE

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

For too long Wall St & Big Pharma and their leadership have used their money & power to hold our elected officials hostage on banking and healthcare reform, choosing to put the profits of these industries ahead of the financial and physical health of American families. Corruption MUST be held accountable, regardless of party. Time to elect REGULAR CITIZENS like you and me who will put our best interests first! www.veronica2020.com

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

Performance proxies

Overall score34.4/100
Spend / Reach / Long. / Eff.0.0 · 59.2 · 1.1 · 77.1
Spend range<USD 99
Impressions15,000 – 19,999
CPM (≈ $/1k impr)USD 2.83
Est. audience size
Days live5 (2020-08-07 → 2020-08-12)
Created2020-08-07
Creative variants1 body · 0 headline
Platformsfacebook, instagram
Languagesen
CandidateNJ — Veronica Fernandez
Surfaced by“senate:Veronica Fernandez”

🧠 AI analysis

Issueeconomy taxes
Framingissue advocacy
Message typepersuasion
Emotional appealanger
Production tiersemi pro
Who picturedcandidate
Symbolsmoney cash, healthcare
Call to actionnone
Standout elementFacebook content-removed placeholder replacing the actual ad creative, exposing a disclaimer compliance failure
TacticThe ad leverages populist anti-corruption anger by positioning the candidate as a 'regular citizen' outsider against Wall Street and Big Pharma, but the content was removed by Facebook for a missing political disclaimer, undermining its reach.

Where it ran (delivery by region)

Texas8.7%
California6.8%
Illinois5.5%
Ohio4.8%
Michigan3.9%
Pennsylvania3.8%
New York3.7%

Who saw it (delivery)

45-54 · unknown 0.1%
35-44 · male 8.6%
65+ · unknown 0.0%
35-44 · unknown 0.1%
65+ · female 0.8%
25-34 · unknown 0.4%
18-24 · female 2.1%
65+ · male 3.3%
25-34 · male 34.8%
55-64 · female 0.5%
18-24 · male 40.0%
45-54 · male 4.5%
25-34 · female 0.9%
18-24 · unknown 0.5%
55-64 · male 2.8%
35-44 · female 0.3%
55-64 · unknown 0.0%
45-54 · female 0.3%

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