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.
Women's March in Montclair, October 2, 2021
Ad copy
Women's March 2021 in Montclair -- A photo gallery of moments in a day of strength, unity and shared affirmations of our true American values of liberty, equality and justice for all. #WomensMarch2021 #GoDems #FlipItBlue #Rights #Equality
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 23.3/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 34.4 · 0.0 · 58.7 |
| Spend range | <USD 99 |
| Impressions | 1,000 – 1,999 |
| CPM (≈ $/1k impr) | USD 33.01 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 1 (2021-10-27 → 2021-10-28) |
| Created | 2021-10-27 |
| 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 | informational |
| Message type | awareness |
| Emotional appeal | neutral |
| Production tier | diy amateur |
| Who pictured | none |
| Symbols | none |
| Call to action | none |
| Standout element | Facebook content removal notice obscuring the actual ad creative |
| Tactic | The ad is entirely inaccessible due to a platform policy violation notice, rendering any persuasion tactic ineffective as the content cannot be viewed without logging in. |
Where it ran (delivery by region)
| New Jersey | 100.0% |
Who saw it (delivery)
| 45-54 · unknown | 0.1% |
| 35-44 · unknown | 0.1% |
| 25-34 · female | 25.7% |
| 25-34 · male | 6.7% |
| 55-64 · female | 8.8% |
| 55-64 · male | 4.6% |
| 45-54 · female | 6.2% |
| 65+ · male | 3.8% |
| 18-24 · male | 5.4% |
| 35-44 · male | 3.0% |
| 45-54 · male | 2.8% |
| 65+ · female | 10.5% |
| 35-44 · female | 7.1% |
| 18-24 · female | 15.1% |
| 25-34 · unknown | 0.1% |
