Melissa Brown Blaeuer and Pamela Fadden 4 Assembly US Inactive
Melissa Brown Blaeuer and Pamela Fadden for Assembly
Ad copy
Trickle-down economics is a disaster for real prosperity, stability, the middle class, elections and democracy. It rewards grift, conspiracies and greed with bailouts and bonuses. Melissa and Pamela stand for bottom-up, broad-based economic strength and stability. Let's unleash talent and a future of hope and prosperity for real value creators — people — through inclusion, entrepreneurship, affordable education, healthcare and childcare. We need to send Melissa and Pamela to Trenton. Learn more! https://www.MelAndPam4LD26.com
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 35.9/100 |
| Spend / Reach / Long. / Eff. | 23.7 · 59.2 · 0.0 · 60.6 |
| Spend range | USD 400–499 |
| Impressions | 15,000 – 19,999 |
| CPM (≈ $/1k impr) | USD 25.69 |
| 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 | economy taxes |
| Framing | issue advocacy |
| Message type | persuasion |
| Emotional appeal | hope |
| Production tier | diy amateur |
| Who pictured | none |
| Symbols | none |
| Call to action | learn more |
| Standout element | Facebook content-removed placeholder card revealing the ad was flagged for disclaimer non-compliance |
| Tactic | The ad pairs a populist contrast of trickle-down vs. bottom-up economics with an aspirational call to action, but its persuasive reach is severely undermined by the disclaimer violation that caused its removal from the platform. |
Where it ran (delivery by region)
| New Jersey | 99.7% |
| New York | 0.3% |
Who saw it (delivery)
| 45-54 · unknown | 0.1% |
| 35-44 · female | 11.0% |
| 55-64 · unknown | 0.1% |
| 45-54 · male | 7.8% |
| 18-24 · male | 3.4% |
| 65+ · female | 7.8% |
| 65+ · unknown | 0.1% |
| 25-34 · male | 12.9% |
| 55-64 · male | 6.5% |
| 25-34 · unknown | 0.1% |
| 55-64 · female | 7.6% |
| 45-54 · female | 7.2% |
| 25-34 · female | 15.4% |
| 35-44 · male | 10.4% |
| 65+ · male | 5.1% |
| 18-24 · female | 4.2% |
| 18-24 · unknown | 0.0% |
| 35-44 · unknown | 0.2% |
