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Melissa Brown Blaeuer and Pamela Fadden 4 Assembly US Inactive

Melissa Brown Blaeuer and Pamela Fadden for Assembly

ad creative

Mel and Pam for LD 26

WE THE PEOPLE representation for Butler North Caldwell West Caldwell Fairfield Jefferson Kinnelon Lincoln Park Morris Plains Montville Parsippany-Troy Hills Rockaway Township Verona West Milford

Ad copy

We are so proud to stand with the New Jersey Firefighters Mutual Benevolent Association (NJFMBA)! "Your endorsement also represents much more than a name on a press release or in an email. Our members that made these endorsements understand that this year, more than ever, we must back them up with boots on the ground and votes at the polls." We will promote legislation that supports the safety and health of firefighters and first responders. Thank you @njstatefmba !

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

Performance proxies

Overall score38.2/100
Spend / Reach / Long. / Eff.25.8 · 63.8 · 0.6 · 62.5
Spend rangeUSD 500–599
Impressions25,000 – 29,999
CPM (≈ $/1k impr)USD 19.98
Est. audience size100,001 – 500,000
Days live3 (2021-10-28 → 2021-10-31)
Created2021-10-28
Creative variants1 body · 1 headline
Platformsfacebook, instagram
Languagesen
CandidateVA — Pamela Brown
Surfaced by“senate:Pamela Brown”

🧠 AI analysis

Issuecrime safety
Framingpositive candidate
Message typepersuasion
Emotional appealneutral
Production tierunknown
Who picturednone
Symbolsnone
Call to actionnone
Standout elementAd content removed due to policy non-compliance, replacing the actual creative with a login gate
TacticThe ad leverages a firefighter union endorsement quote to build grassroots credibility and urgency around election mobilization, but the content was pulled by Facebook for disclaimer non-compliance, rendering the persuasion tactic inaccessible.

Where it ran (delivery by region)

New Jersey99.7%
New York0.3%

Who saw it (delivery)

55-64 · unknown 0.1%
18-24 · male 7.6%
25-34 · unknown 0.2%
35-44 · unknown 0.2%
45-54 · male 3.9%
45-54 · female 6.9%
18-24 · female 7.9%
55-64 · female 5.6%
55-64 · male 2.5%
18-24 · unknown 0.1%
35-44 · male 7.2%
25-34 · female 24.7%
65+ · female 3.2%
25-34 · male 16.6%
35-44 · female 11.5%
65+ · male 1.7%
45-54 · unknown 0.2%
65+ · unknown 0.0%

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