Ben Ray Luján US Inactive
PEOPLE FOR BEN
TAKE THE APPROVAL POLL >>
10,000 anti-McConnell responses needed before midnight!
Ad copy
I’ve watched Mitch McConnell harm too many American families -- so I’m running to FLIP the entire Senate and send him packing. I need to know if I have the national support to win. Will you take my poll before midnight? ⬇️
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 50.8/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 55.8 · 62.3 · 50.5 |
| Spend range | USD 1,000–1,499 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 99.96 |
| Est. audience size | — |
| Days live | 227 (2019-11-30 → 2020-07-14) |
| Created | 2019-11-30 |
| 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 | attack opponent |
| 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-removed placeholder screen replacing actual ad creative |
| Tactic | The ad uses a midnight deadline and an approval poll to manufacture urgency and collect supporter data by framing McConnell as the villain voters can help defeat. |
Where it ran (delivery by region)
| California | 11.7% |
| Florida | 7.9% |
| New York | 6.7% |
| Texas | 6.1% |
| Pennsylvania | 3.6% |
| Washington | 3.5% |
| Ohio | 3.5% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 45-54 · female | 3.9% |
| 45-54 · male | 4.1% |
| 65+ · female | 36.4% |
| 65+ · male | 23.4% |
| 25-34 · male | 1.0% |
| 55-64 · male | 10.6% |
| 55-64 · female | 15.2% |
| 55-64 · unknown | 0.2% |
| 45-54 · unknown | 0.1% |
| 65+ · unknown | 0.6% |
| 35-44 · male | 1.5% |
| 18-24 · female | 0.4% |
| 25-34 · female | 0.9% |
| 25-34 · unknown | 0.0% |
| 18-24 · male | 0.3% |
| 35-44 · unknown | 0.0% |
| 35-44 · female | 1.3% |
