Veronica Fernandez for US Senate US Inactive
VERONICA FERNANDEZ FOR US SENATE
Support
Ad copy
Whether Democrat or Republican your voice is silenced by special interests and big donor dollars in Congress. Until we get the money out we will not have real change on any issue. Our Congress is a mess and I'm pretty handy with a mop. I've had enough! Please donate to my campaign so I can get in there and clean it up. I will only work for you!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 27.3/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 43.0 · 1.1 · 65.1 |
| Spend range | <USD 99 |
| Impressions | 3,000 – 3,999 |
| CPM (≈ $/1k impr) | USD 14.14 |
| Est. audience size | — |
| Days live | 5 (2020-04-30 → 2020-05-05) |
| Created | 2020-04-30 |
| Creative variants | 1 body · 1 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 | fundraising |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | money cash |
| Call to action | donate |
| Standout element | Facebook content-removed placeholder screen used as the entire ad image |
| Tactic | The ad leverages a populist anti-money-in-politics message appealing to both Democrats and Republicans, using a folksy mop metaphor to position the candidate as a relatable outsider reformer, though its impact is undermined by the ad being flagged and hidden for a missing disclaimer. |
Where it ran (delivery by region)
| New Jersey | 100.0% |
Who saw it (delivery)
| 35-44 · unknown | 0.0% |
| 45-54 · female | 0.7% |
| 25-34 · unknown | 0.1% |
| 18-24 · unknown | 0.0% |
| 35-44 · female | 0.7% |
| 55-64 · unknown | 0.1% |
| 18-24 · female | 2.7% |
| 65+ · unknown | 0.2% |
| 55-64 · female | 4.4% |
| 65+ · male | 25.7% |
| 55-64 · male | 12.3% |
| 25-34 · male | 14.6% |
| 35-44 · male | 4.3% |
| 65+ · female | 17.4% |
| 45-54 · male | 5.3% |
| 25-34 · female | 3.0% |
| 18-24 · male | 8.4% |
| 45-54 · unknown | 0.2% |
