Ben Ray Luján US Inactive
PEOPLE FOR BEN
Mark Ronchetti: Wrong for New Mexico
Election Day is November 3, 2020.
Ad copy
Doctors are warning us about Mark Ronchetti: ❌ Ronchetti praised Trump’s horrific response to the pandemic ❌ Ronchetti spread harmful misinformation about COVID We cannot afford another dangerous rubber stamp for Trump in the Senate.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 50.8/100 |
| Spend / Reach / Long. / Eff. | 46.5 · 85.0 · 7.7 · 63.9 |
| Spend range | USD 3,500–3,999 |
| Impressions | 200,000 – 249,999 |
| CPM (≈ $/1k impr) | USD 16.66 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 29 (2020-10-05 → 2020-11-03) |
| Created | 2020-10-05 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NM — Ben Ray Luján |
| Surfaced by | “senate:NM — Ben Ray Luján” |
🧠 AI analysis
| Issue | healthcare |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | none |
| Standout element | Content removed notice replacing the actual ad creative, exposing platform enforcement |
| Tactic | The ad uses a credibility-borrowing tactic by invoking doctors' warnings to frame Ronchetti as a dangerous COVID misinformation spreader and Trump rubber stamp, targeting healthcare-conscious New Mexico voters. |
Where it ran (delivery by region)
| New Mexico | 76.0% |
| Texas | 5.3% |
| California | 2.7% |
| Arizona | 1.4% |
| Colorado | 1.2% |
| Florida | 1.2% |
| New York | 0.9% |
Who saw it (delivery)
| 55-64 · unknown | 0.1% |
| 25-34 · female | 13.2% |
| 45-54 · unknown | 0.1% |
| 18-24 · unknown | 0.1% |
| 65+ · female | 3.6% |
| 65+ · male | 3.7% |
| 35-44 · male | 9.6% |
| 45-54 · male | 6.7% |
| 18-24 · male | 9.3% |
| 65+ · unknown | 0.1% |
| 18-24 · female | 11.3% |
| 25-34 · male | 14.6% |
| 35-44 · female | 10.2% |
| 55-64 · male | 4.8% |
| 55-64 · female | 5.2% |
| 45-54 · female | 7.2% |
| 25-34 · unknown | 0.1% |
| 35-44 · unknown | 0.2% |
