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.
END-OF-YEAR DEADLINE
Rush $15 to DEFEAT McConnell’s Republican Senate >>
Ad copy
I can hardly believe it: Democrats are now ONE POINT away from UNSEATING Mitch McConnell!!! But if we lose my race, we’ll completely sabotage our historic shot to defeat McConnell’s Senate. I’m counting on your $15 to bring this win home:
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 40.6/100 |
| Spend / Reach / Long. / Eff. | 23.7 · 53.0 · 29.5 · 56.1 |
| Spend range | USD 400–499 |
| Impressions | 9,000 – 9,999 |
| CPM (≈ $/1k impr) | USD 47.32 |
| Est. audience size | — |
| Days live | 108 (2019-12-13 → 2020-03-30) |
| Created | 2019-12-13 |
| 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 | fundraising |
| Emotional appeal | urgency |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Facebook content removal notice replacing the actual ad creative |
| Tactic | The ad leverages a one-point polling gap against McConnell as an urgency trigger to drive end-of-year fundraising, but the actual creative is inaccessible due to a platform policy removal for missing disclaimer. |
Where it ran (delivery by region)
| California | 15.8% |
| New York | 7.4% |
| Florida | 6.9% |
| Texas | 5.4% |
| Washington | 4.1% |
| Illinois | 3.5% |
| Michigan | 3.4% |
Who saw it (delivery)
| 35-44 · unknown | 0.1% |
| 55-64 · female | 15.3% |
| 45-54 · male | 3.7% |
| 65+ · female | 39.4% |
| 55-64 · male | 10.3% |
| 65+ · male | 22.4% |
| 45-54 · female | 4.0% |
| 55-64 · unknown | 0.5% |
| 35-44 · male | 1.8% |
| 35-44 · female | 1.7% |
| 65+ · unknown | 0.7% |
| 45-54 · unknown | 0.1% |
