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
They deny science and disrespect healthcare and public workers. Their irresponsible approach is dangerous for public safety, stability of the economy and healthcare systems. Melissa & Pamela respect science and healthcare workers. We never downplay the devastating impacts of COVID-19 on our families, economy and society. Respecting liberty and safe boundaries is essential. We need to send Melissa and Pamela to Trenton. Learn more about these exceptional women. https://www.MelAndPam4LD26.com
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 41.0/100 |
| Spend / Reach / Long. / Eff. | 31.7 · 69.3 · 0.3 · 62.5 |
| Spend range | USD 900–999 |
| Impressions | 45,000 – 49,999 |
| CPM (≈ $/1k impr) | USD 19.99 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 2 (2021-10-31 → 2021-11-02) |
| Created | 2021-10-31 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | VA — Pamela Brown |
| Surfaced by | “senate:Pamela Brown” |
| Issue | healthcare |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | learn more |
| Standout element | Ad removed by Facebook disclaimer screen replacing the actual creative content |
| Tactic | The ad contrasts candidates' pro-science, pro-healthcare-worker stance against unnamed opponents framed as dangerous science deniers, using COVID-19 fear and public safety urgency to drive voter support. |
| New Jersey | 99.8% |
| New York | 0.2% |
| Unknown | 0.0% |
| 35-44 · unknown | 0.2% |
| 65+ · female | 11.6% |
| 18-24 · unknown | 0.2% |
| 25-34 · unknown | 0.2% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 8.0% |
| 55-64 · female | 9.0% |
| 25-34 · male | 9.4% |
| 65+ · male | 4.6% |
| 55-64 · unknown | 0.1% |
| 35-44 · female | 10.9% |
| 25-34 · female | 19.1% |
| 35-44 · male | 5.2% |
| 55-64 · male | 4.1% |
| 18-24 · male | 4.7% |
| 45-54 · male | 4.1% |
| 18-24 · female | 8.5% |
| 65+ · unknown | 0.1% |