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
Jay Webber scored 17% — the lowest of anyone in the entire legislature — on the League of Conservation Voters 2021 Scorecard. Our air, water, and forests are precious resources in our district and the entire state. Climate sustainability and innovative energy and infrastructure are vital priorities for Melissa & Pamela. We need Melissa and Pamela in Trenton to rise above crude profiteering. We must set a course for upward mobility, restoration of our core values, and responsible caretaking of our environment. Learn more about these exceptional women at: https://www.MelAndPam4LD26.com
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 35.7/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 59.2 · 0.0 · 62.5 |
| Spend range | USD 300–399 |
| Impressions | 15,000 – 19,999 |
| CPM (≈ $/1k impr) | USD 19.97 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 1 (2021-10-31 → 2021-11-01) |
| 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 | energy environment |
| 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 | Content removed disclaimer card revealing the ad was flagged for policy non-compliance |
| Tactic | The ad uses a specific LCV scorecard statistic to paint the opponent as an environmental villain while positioning the two female candidates as principled stewards of the district's natural resources. |
| New Jersey | 99.8% |
| New York | 0.2% |
| 45-54 · unknown | 0.1% |
| 25-34 · male | 14.5% |
| 18-24 · unknown | 0.2% |
| 18-24 · female | 9.0% |
| 65+ · male | 3.2% |
| 18-24 · male | 6.0% |
| 65+ · female | 5.1% |
| 55-64 · female | 5.5% |
| 25-34 · female | 25.6% |
| 65+ · unknown | 0.2% |
| 35-44 · female | 10.6% |
| 45-54 · male | 3.6% |
| 45-54 · female | 5.6% |
| 55-64 · male | 3.5% |
| 35-44 · male | 6.7% |
| 25-34 · unknown | 0.3% |
| 35-44 · unknown | 0.2% |
| 55-64 · unknown | 0.0% |