Melissa Brown Blaeuer and Pamela Fadden 4 Assembly US Inactive
Melissa Brown Blaeuer and Pamela Fadden for Assembly
Ad copy
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)
Performance proxies
| Overall score | 36.0/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 59.2 · 0.0 · 59.1 |
| Spend range | USD 500–599 |
| Impressions | 15,000 – 19,999 |
| CPM (≈ $/1k impr) | USD 31.4 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 1 (2021-11-01 → 2021-11-02) |
| Created | 2021-11-01 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | VA — Pamela Brown |
| Surfaced by | “senate:Pamela Brown” |
🧠 AI analysis
| Issue | energy environment |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | urgency |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | learn more |
| Standout element | Ad removed by Facebook for policy non-compliance, leaving only a login prompt where the creative should be |
| Tactic | The ad leverages a concrete scorecard statistic (17% League of Conservation Voters rating) to paint the incumbent opponent as an environmental laggard while positioning the two female candidates as principled stewards, using contrast attack framing to drive persuasion. |
Where it ran (delivery by region)
| New Jersey | 99.8% |
| New York | 0.2% |
Who saw it (delivery)
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.3% |
| 35-44 · unknown | 0.1% |
| 25-34 · unknown | 0.2% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.1% |
| 25-34 · male | 14.3% |
| 65+ · male | 3.3% |
| 25-34 · female | 26.0% |
| 18-24 · male | 5.9% |
| 55-64 · male | 3.4% |
| 35-44 · female | 11.7% |
| 55-64 · female | 4.2% |
| 35-44 · male | 7.3% |
| 65+ · female | 5.1% |
| 45-54 · male | 3.7% |
| 18-24 · female | 9.2% |
| 55-64 · unknown | 0.1% |
