Melissa Brown Blaeuer and Pamela Fadden for Assembly
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
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)
| Overall score | 38.2/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 63.8 · 0.6 · 62.5 |
| Spend range | USD 500–599 |
| Impressions | 25,000 – 29,999 |
| CPM (≈ $/1k impr) | USD 19.98 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 3 (2021-10-28 → 2021-10-31) |
| Created | 2021-10-28 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | VA — Pamela Brown |
| Surfaced by | “senate:Pamela Brown” |
| Issue | crime safety |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | neutral |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | none |
| Standout element | Ad content removed due to policy non-compliance, replacing the actual creative with a login gate |
| Tactic | The 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. |
| New Jersey | 99.7% |
| New York | 0.3% |
| 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% |