Melissa Brown Blaeuer and Pamela Fadden 4 Assembly US Inactive
Melissa Brown Blaeuer and Pamela Fadden for Assembly
⚠ Creative removed by Meta
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
Mel and Pam for LD 26
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
Thank you Mikie Sherrill for your support! It means a lot and we hope to continue the growing blue wave you helped launch that flipped your congressional district and local seats in our district. Make sure your family members vote!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 39.9/100 |
| Spend / Reach / Long. / Eff. | 29.2 · 66.9 · 0.8 · 62.5 |
| Spend range | USD 700–799 |
| Impressions | 35,000 – 39,999 |
| CPM (≈ $/1k impr) | USD 19.99 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 4 (2021-10-28 → 2021-11-01) |
| Created | 2021-10-28 |
| 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 | positive candidate |
| Message type | gotv mobilization |
| Emotional appeal | hope |
| Production tier | diy amateur |
| Who pictured | none |
| Symbols | none |
| Call to action | vote |
| Standout element | Facebook content removal notice obscuring the actual ad creative |
| Tactic | The ad leverages a named endorsement from Congresswoman Mikie Sherrill to borrow credibility and frame the campaign as part of a broader Democratic wave, using GOTV urgency directed at family members. |
Where it ran (delivery by region)
| New Jersey | 99.8% |
| New York | 0.2% |
Who saw it (delivery)
| 18-24 · unknown | 0.1% |
| 35-44 · female | 8.2% |
| 55-64 · unknown | 0.1% |
| 35-44 · male | 7.9% |
| 65+ · female | 12.2% |
| 25-34 · female | 11.0% |
| 65+ · male | 8.5% |
| 45-54 · male | 8.8% |
| 55-64 · female | 9.5% |
| 35-44 · unknown | 0.2% |
| 55-64 · male | 9.5% |
| 45-54 · female | 8.2% |
| 18-24 · male | 3.0% |
| 18-24 · female | 4.5% |
| 25-34 · male | 8.0% |
| 45-54 · unknown | 0.2% |
| 65+ · unknown | 0.1% |
| 25-34 · unknown | 0.1% |
