Veronica Fernandez for US Senate US Inactive
VERONICA FERNANDEZ FOR US SENATE
Ad copy
Here’s my monthly healthcare insurance bill. $2,203.41 per month for a “silver” plan! Healthcare in this country is a mess and we need policy makers who will clean up this BS. The healthcare industry is already lobbying at record levels to re coup this year’s COVID-19 losses. If we don’t stand up to them premiums AND taxes will soar! Sign my petition now, get me in so I can fight this ridiculous system! www.veronica2020.com Click "LEARN MORE" to sign!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 38.5/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 65.4 · 1.7 · 69.6 |
| Spend range | USD 200–299 |
| Impressions | 30,000 – 34,999 |
| CPM (≈ $/1k impr) | USD 7.68 |
| Est. audience size | — |
| Days live | 7 (2020-06-23 → 2020-06-30) |
| Created | 2020-06-23 |
| 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 | list building survey |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | healthcare, money cash |
| Call to action | sign petition |
| Standout element | ad removed due to disclaimer non-compliance notice replacing actual creative |
| Tactic | The ad uses a personal, relatable out-of-pocket cost example to stoke outrage and drive petition signatures, but was pulled for disclaimer violations before reaching its audience. |
Where it ran (delivery by region)
| New Jersey | 100.0% |
Who saw it (delivery)
| 45-54 · unknown | 0.2% |
| 35-44 · unknown | 0.2% |
| 65+ · unknown | 0.1% |
| 65+ · male | 5.6% |
| 55-64 · male | 11.6% |
| 35-44 · male | 11.2% |
| 25-34 · unknown | 0.1% |
| 35-44 · female | 6.3% |
| 18-24 · female | 1.3% |
| 18-24 · unknown | 0.1% |
| 25-34 · female | 3.3% |
| 18-24 · male | 3.8% |
| 65+ · female | 6.6% |
| 45-54 · male | 16.1% |
| 25-34 · male | 10.1% |
| 55-64 · female | 11.2% |
| 45-54 · female | 11.9% |
| 55-64 · unknown | 0.3% |
