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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.

DocuSign

Ad copy

Today marks the beginning of a new phase in our campaign. Governor Murphy has made electronic ballot petitions available to Independent candidates, which means YOU can help me get on the ballot. All you have to do is sign! While I hope I can count on your vote come November, signing this petition is not a pledge to do so. I understand that over the next several months, I will have to work to earn your support. In the meantime, please help us take the next step and sign my petition. https://www.veronica2020.com/ballot_petition

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

Performance proxies

Overall score23.7/100
Spend / Reach / Long. / Eff.0.0 · 34.4 · 1.7 · 58.7
Spend range<USD 99
Impressions1,000 – 1,999
CPM (≈ $/1k impr)USD 33.01
Est. audience size
Days live7 (2020-04-16 → 2020-04-23)
Created2020-04-16
Creative variants1 body · 1 headline
Platformsfacebook, instagram
Languagesen
CandidateNJ — Veronica Fernandez
Surfaced by“senate:Veronica Fernandez”

🧠 AI analysis

Issuedemocracy elections
Framingpositive candidate
Message typelist building survey
Emotional appealurgency
Production tierdiy amateur
Who picturedcandidate
Symbolsnone
Call to actionsign petition
Standout elementFacebook content removal notice replacing the actual ad creative, exposing a compliance failure
TacticThe ad pivots a petition-signing ask around gubernatorial ballot access news to create urgency, but its visibility was undermined by a missing disclaimer that caused Facebook to restrict the content.

Where it ran (delivery by region)

New Jersey100.0%

Who saw it (delivery)

45-54 · unknown 0.2%
25-34 · female 4.6%
45-54 · male 4.8%
65+ · female 12.9%
35-44 · male 4.6%
55-64 · female 4.3%
55-64 · male 13.1%
35-44 · female 1.5%
65+ · male 12.3%
55-64 · unknown 0.1%
18-24 · female 9.8%
25-34 · male 10.9%
18-24 · male 17.4%
65+ · unknown 0.3%
18-24 · unknown 0.5%
25-34 · unknown 0.1%
45-54 · female 2.7%

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