VERONICA FERNANDEZ FOR US SENATE
For too long Wall St & Big Pharma and their leadership have used their money & power to hold our elected officials hostage on banking and healthcare reform, choosing to put the profits of these industries ahead of the financial and physical health of American families. Corruption MUST be held accountable, regardless of party. Time to elect REGULAR CITIZENS like you and me who will put our best interests first! www.veronica2020.com
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 34.4/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 59.2 · 1.1 · 77.1 |
| Spend range | <USD 99 |
| Impressions | 15,000 – 19,999 |
| CPM (≈ $/1k impr) | USD 2.83 |
| Est. audience size | — |
| Days live | 5 (2020-08-07 → 2020-08-12) |
| Created | 2020-08-07 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NJ — Veronica Fernandez |
| Surfaced by | “senate:Veronica Fernandez” |
| Issue | economy taxes |
| Framing | issue advocacy |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | money cash, healthcare |
| Call to action | none |
| Standout element | Facebook content-removed placeholder replacing the actual ad creative, exposing a disclaimer compliance failure |
| Tactic | The ad leverages populist anti-corruption anger by positioning the candidate as a 'regular citizen' outsider against Wall Street and Big Pharma, but the content was removed by Facebook for a missing political disclaimer, undermining its reach. |
| Texas | 8.7% |
| California | 6.8% |
| Illinois | 5.5% |
| Ohio | 4.8% |
| Michigan | 3.9% |
| Pennsylvania | 3.8% |
| New York | 3.7% |
| 45-54 · unknown | 0.1% |
| 35-44 · male | 8.6% |
| 65+ · unknown | 0.0% |
| 35-44 · unknown | 0.1% |
| 65+ · female | 0.8% |
| 25-34 · unknown | 0.4% |
| 18-24 · female | 2.1% |
| 65+ · male | 3.3% |
| 25-34 · male | 34.8% |
| 55-64 · female | 0.5% |
| 18-24 · male | 40.0% |
| 45-54 · male | 4.5% |
| 25-34 · female | 0.9% |
| 18-24 · unknown | 0.5% |
| 55-64 · male | 2.8% |
| 35-44 · female | 0.3% |
| 55-64 · unknown | 0.0% |
| 45-54 · female | 0.3% |