Melissa Brown Blaeuer and Pamela Fadden 4 Assembly US Inactive
Melissa Brown Blaeuer and Pamela Fadden for Assembly
Mel and Pam 4 LD26
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
Don’t be fooled — Jay Webber is the most moderate candidate on the Republican slate, and that’s a problem. Don’t forget — they booted BettyLou DeCroce! We need to send Melissa and Pamela to Trenton. These exceptional women will restore bottom-up, middle class strength and stability. Learn more about their strategy and inclusive ethics!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 32.2/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 51.9 · 0.0 · 59.6 |
| Spend range | USD 200–299 |
| Impressions | 8,000 – 8,999 |
| CPM (≈ $/1k impr) | USD 29.35 |
| 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” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | none |
| Symbols | none |
| Call to action | learn more |
| Standout element | Facebook content-removed placeholder screen used as the ad image itself |
| Tactic | The ad leverages insider Republican primary grievances — attacking a moderate GOP opponent and invoking a party ousting — to rally base voters behind two women candidates, though its DIY execution and removed-content screenshot undercut professional credibility. |
Where it ran (delivery by region)
| New Jersey | 99.8% |
| New York | 0.2% |
Who saw it (delivery)
| 35-44 · unknown | 0.2% |
| 35-44 · female | 7.0% |
| 18-24 · female | 8.0% |
| 55-64 · female | 6.8% |
| 35-44 · male | 4.9% |
| 55-64 · male | 6.9% |
| 65+ · male | 8.5% |
| 25-34 · male | 10.7% |
| 45-54 · female | 5.2% |
| 55-64 · unknown | 0.1% |
| 45-54 · male | 5.0% |
| 65+ · female | 13.0% |
| 25-34 · female | 18.3% |
| 18-24 · male | 4.9% |
| 45-54 · unknown | 0.2% |
| 65+ · unknown | 0.1% |
| 18-24 · unknown | 0.1% |
| 25-34 · unknown | 0.2% |
