Ben Ray Luján US Inactive
PEOPLE FOR BEN
10,000 SIGNATURES NEEDED >>
Sign the petition to SAVE Carlsbad Caverns!
Ad copy
I’m horrified. President Trump’s new budget completely GUTS funding for Carlsbad Caverns in my home state of New Mexico -- and national parks nationwide. Will you sign my emergency petition? I need 10,000 signatures to SAVE our public lands ⬇️
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 47.5/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 63.8 · 40.2 · 68.4 |
| Spend range | USD 200–299 |
| Impressions | 25,000 – 29,999 |
| CPM (≈ $/1k impr) | USD 9.07 |
| Est. audience size | — |
| Days live | 147 (2020-03-06 → 2020-07-31) |
| Created | 2020-03-06 |
| 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 | energy environment |
| Framing | issue advocacy |
| Message type | list building survey |
| Emotional appeal | urgency |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | sign petition |
| Standout element | Content removed by Facebook due to disclaimer non-compliance, leaving only metadata visible |
| Tactic | The ad uses an emergency petition framing with a concrete signature goal (10,000) to drive list-building urgency around Trump's budget cuts to national parks, but the creative was removed by Facebook before it could be evaluated visually. |
Where it ran (delivery by region)
| California | 14.8% |
| New York | 8.9% |
| Washington | 5.1% |
| Texas | 5.1% |
| Florida | 3.8% |
| Pennsylvania | 3.8% |
| Massachusetts | 3.7% |
Who saw it (delivery)
| 18-24 · unknown | 1.0% |
| 55-64 · female | 4.7% |
| 65+ · unknown | 0.3% |
| 35-44 · unknown | 0.5% |
| 45-54 · unknown | 0.3% |
| 18-24 · female | 5.1% |
| 55-64 · unknown | 0.2% |
| 45-54 · male | 6.4% |
| 45-54 · female | 4.0% |
| 18-24 · male | 9.5% |
| 25-34 · female | 11.4% |
| 65+ · male | 7.6% |
| 35-44 · male | 9.1% |
| 35-44 · female | 6.6% |
| 65+ · female | 6.5% |
| 25-34 · male | 19.1% |
| 55-64 · male | 6.2% |
| 25-34 · unknown | 1.5% |
