Ben Ray Luján US Inactive
PEOPLE FOR BEN
10,000 SIGNATURES NEEDED >>
Bring back President Obama’s critical environmental protections!
Ad copy
I’ll be quick: I need 10,000 signatures telling President Trump to reinstate President Obama’s critical anti-pollution protections. Trump just ripped environmental standards to shreds -- giving big polluters more freedom to ransack our environment. We need to act NOW. Will you sign before midnight? ⬇️
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 50.9/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 63.8 · 48.8 · 56.4 |
| Spend range | USD 1,000–1,499 |
| Impressions | 25,000 – 29,999 |
| CPM (≈ $/1k impr) | USD 45.44 |
| Est. audience size | — |
| Days live | 178 (2020-02-04 → 2020-07-31) |
| Created | 2020-02-04 |
| 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 | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | sign petition |
| Standout element | Facebook content-removed placeholder obscures the actual ad creative entirely |
| Tactic | The ad uses a hard deadline ('before midnight') and a specific signature goal (10,000) to manufacture urgency and drive list-building sign-ups via a petition framing. |
Where it ran (delivery by region)
| California | 10.6% |
| New York | 10.5% |
| Texas | 6.3% |
| Florida | 5.4% |
| Washington | 4.8% |
| Massachusetts | 3.9% |
| Illinois | 3.7% |
Who saw it (delivery)
| 45-54 · male | 2.6% |
| 35-44 · female | 5.1% |
| 18-24 · unknown | 0.4% |
| 25-34 · unknown | 0.5% |
| 55-64 · unknown | 0.2% |
| 18-24 · female | 5.9% |
| 55-64 · male | 5.2% |
| 65+ · male | 11.8% |
| 25-34 · female | 9.2% |
| 25-34 · male | 4.5% |
| 55-64 · female | 14.4% |
| 45-54 · female | 5.2% |
| 65+ · female | 28.6% |
| 35-44 · male | 2.7% |
| 18-24 · male | 2.8% |
| 65+ · unknown | 0.6% |
| 45-54 · unknown | 0.1% |
| 35-44 · unknown | 0.2% |
