Ben Ray Luján US Inactive
PEOPLE FOR BEN
⚠ Creative removed by Meta
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
TAKE THE APPROVAL POLL >>
10,000 anti-McConnell responses needed before midnight!
Ad copy
I’ll be blunt: I need you to take my Democratic Senate poll before midnight. I need 10,000 responses to send Mitch McConnell a crystal clear message: Democrats are coming for his Senate Majority -- and there’s nothing he can do to stop us. ⬇️
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 47.8/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 47.5 · 68.6 · 53.9 |
| Spend range | USD 300–399 |
| Impressions | 5,000 – 5,999 |
| CPM (≈ $/1k impr) | USD 63.55 |
| Est. audience size | — |
| Days live | 250 (2019-11-07 → 2020-07-14) |
| Created | 2019-11-07 |
| 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 | democracy elections |
| Framing | informational |
| Message type | list building survey |
| Emotional appeal | urgency |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | survey poll |
| Standout element | Facebook content removal notice replacing the ad creative entirely |
| Tactic | The ad uses a midnight deadline and a specific numerical goal (10,000 responses) to manufacture urgency and frame a routine list-building poll as a direct political strike against Mitch McConnell. |
Where it ran (delivery by region)
| California | 14.0% |
| Texas | 8.7% |
| Arizona | 6.1% |
| Florida | 5.6% |
| Washington | 4.0% |
| Colorado | 4.0% |
| New York | 3.8% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.4% |
| 55-64 · male | 14.3% |
| 45-54 · male | 6.8% |
| 35-44 · male | 2.7% |
| 45-54 · female | 3.8% |
| 65+ · female | 28.3% |
| 55-64 · female | 12.9% |
| 35-44 · unknown | 0.0% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 1.1% |
| 35-44 · female | 1.0% |
| 18-24 · male | 0.5% |
| 25-34 · female | 0.7% |
| 18-24 · female | 0.3% |
| 45-54 · unknown | 0.1% |
| 55-64 · unknown | 0.2% |
| 65+ · male | 26.9% |
