Veronica Fernandez for US Senate US Inactive
VERONICA FERNANDEZ FOR US SENATE
⚠ 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.
Ad copy
Hey NJ, want to participate in democracy? Help me get a debate going for US Senate candidates. Call Cory Booker at 973-639-8700 and #demandadebate Ballots are in the mail and you deserve to know who your candidates are BEFORE you vote. I'm trying to bring truth to power and you can too!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 25.7/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 39.6 · 0.6 · 62.6 |
| Spend range | <USD 99 |
| Impressions | 2,000 – 2,999 |
| CPM (≈ $/1k impr) | USD 19.8 |
| Est. audience size | — |
| Days live | 3 (2020-10-02 → 2020-10-05) |
| Created | 2020-10-02 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NJ — Veronica Fernandez |
| Surfaced by | “senate:Veronica Fernandez” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | issue advocacy |
| Message type | awareness |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | none |
| Standout element | Facebook content-removal notice serving as the entire visible ad creative |
| Tactic | The ad ironically leverages a platform content-removal notice to amplify a grassroots debate-demand message, turning censorship into a credibility signal for an outsider challenger. |
Where it ran (delivery by region)
| New Jersey | 100.0% |
Who saw it (delivery)
| 25-34 · unknown | 0.1% |
| 55-64 · unknown | 0.2% |
| 18-24 · female | 2.1% |
| 45-54 · female | 6.4% |
| 45-54 · male | 12.7% |
| 35-44 · male | 7.1% |
| 25-34 · male | 5.2% |
| 55-64 · male | 17.5% |
| 55-64 · female | 13.6% |
| 18-24 · male | 3.5% |
| 65+ · female | 13.6% |
| 65+ · male | 12.1% |
| 25-34 · female | 3.2% |
| 65+ · unknown | 0.2% |
| 35-44 · female | 2.4% |
