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
Which provides better coverage, which is more cost effective, and which is less socialistic? Tired of paying for everyone else? I AM ON YOUR BALLOT! Vote me in and I’ll take on the healthcare industry. Say no to increased premiums and yes to better healthcare! Check out my website BEFORE returning your ballot. www.veronica2020.com
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 32.5/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 53.0 · 0.8 · 64.3 |
| Spend range | USD 100–199 |
| Impressions | 9,000 – 9,999 |
| CPM (≈ $/1k impr) | USD 15.74 |
| Est. audience size | — |
| Days live | 4 (2020-09-29 → 2020-10-03) |
| Created | 2020-09-29 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NJ — Veronica Fernandez |
| Surfaced by | “senate:Veronica Fernandez” |
🧠 AI analysis
| Issue | healthcare |
| Framing | issue advocacy |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | none |
| Symbols | none |
| Call to action | vote |
| Standout element | Facebook content-removed disclaimer screen replacing the actual ad creative |
| Tactic | The ad leverages anti-socialism and anti-mandate sentiment to appeal to fiscally conservative voters frustrated with healthcare costs, but the content was removed by Facebook for disclaimer non-compliance, severely limiting its reach and credibility. |
Where it ran (delivery by region)
| New Jersey | 100.0% |
Who saw it (delivery)
| 25-34 · unknown | 0.2% |
| 45-54 · male | 9.5% |
| 65+ · unknown | 0.2% |
| 45-54 · unknown | 0.1% |
| 18-24 · male | 2.6% |
| 35-44 · female | 1.9% |
| 55-64 · male | 16.5% |
| 65+ · male | 19.4% |
| 25-34 · male | 3.8% |
| 18-24 · unknown | 0.1% |
| 65+ · female | 21.7% |
| 18-24 · female | 1.7% |
| 55-64 · female | 11.4% |
| 35-44 · male | 4.5% |
| 45-54 · female | 4.8% |
| 25-34 · female | 1.5% |
| 55-64 · unknown | 0.1% |
