VERONICA FERNANDEZ FOR US SENATE
Just got off the phone w/Horizon BCBS of NJ member services in the Philippines, what a run-around. Over 30 minutes to do a coordination of benefits so they will pay my claim. MANY times approvals take longer than actual appointments, not to mention billing nightmares that last for years! I am sick of hearing how they care for jobs and then send overseas whatever they can. This is why I am running, our healthcare system is a mess. If you live in NJ, you know what I mean. Check out my website, read my story and see what happened to me. I so want to fight this BS...sign my petition and give me a chance!
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 32.2/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 51.9 · 1.7 · 63.5 |
| Spend range | USD 100–199 |
| Impressions | 8,000 – 8,999 |
| CPM (≈ $/1k impr) | USD 17.59 |
| Est. audience size | — |
| Days live | 7 (2020-06-05 → 2020-06-12) |
| Created | 2020-06-05 |
| Creative variants | 1 body · 0 headline |
| Platforms | |
| Languages | en |
| Candidate | NJ — Veronica Fernandez |
| Surfaced by | “senate:Veronica Fernandez” |
| Issue | healthcare |
| Framing | issue advocacy |
| Message type | list building survey |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | healthcare |
| Call to action | sign petition |
| Standout element | Facebook content removal notice replacing the actual ad creative, signaling a policy disclaimer violation |
| Tactic | Authentically raw, first-person grievance storytelling about a real insurance billing ordeal drives emotional resonance through shared frustration, while the petition CTA converts anger into list-building action — but the ad was removed for missing a proper disclaimer, undermining its reach. |
| New Jersey | 100.0% |
| 35-44 · unknown | 0.0% |
| 55-64 · male | 15.5% |
| 25-34 · unknown | 0.0% |
| 18-24 · female | 0.9% |
| 45-54 · male | 11.0% |
| 65+ · male | 15.1% |
| 25-34 · male | 3.8% |
| 65+ · female | 19.8% |
| 45-54 · female | 7.3% |
| 45-54 · unknown | 0.2% |
| 55-64 · female | 14.1% |
| 35-44 · male | 5.5% |
| 35-44 · female | 2.6% |
| 18-24 · unknown | 0.1% |
| 25-34 · female | 1.8% |
| 65+ · unknown | 0.2% |
| 18-24 · male | 1.9% |
| 55-64 · unknown | 0.2% |