Ben Ray Luján US Inactive
PEOPLE FOR BEN
50,000 SIGNATURES NEEDED >>
Sign the emergency petition to protect Medicare
Ad copy
I’m disgusted beyond belief. To fund tax breaks for his billionaire donors, McConnell wants to SLASH Medicare from seniors who paid into it their entire lives and rely on it to survive. Sign my emergency petition to STOP McConnell and protect Medicare. ⬇️
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 40.5/100 |
| Spend / Reach / Long. / Eff. | 29.2 · 55.8 · 22.9 · 54.3 |
| Spend range | USD 700–799 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 59.96 |
| Est. audience size | — |
| Days live | 84 (2019-11-07 → 2020-01-30) |
| 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 | social security medicare |
| Framing | attack opponent |
| Message type | list building survey |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | seniors |
| Symbols | healthcare, money cash |
| Call to action | sign petition |
| Standout element | Facebook content-removed placeholder replacing the actual ad creative, exposing the ad's policy disclaimer failure |
| Tactic | The ad uses an outrage-and-urgency petition tactic, naming McConnell as a villain threatening Medicare to drive list-building signatures, but the actual creative was removed by Facebook for disclaimer non-compliance. |
Where it ran (delivery by region)
| California | 12.5% |
| New York | 7.8% |
| Florida | 6.6% |
| Texas | 6.0% |
| Illinois | 3.9% |
| Ohio | 3.8% |
| Washington | 3.7% |
Who saw it (delivery)
| 35-44 · unknown | 0.2% |
| 25-34 · female | 3.6% |
| 45-54 · unknown | 0.1% |
| 35-44 · female | 3.2% |
| 18-24 · female | 2.5% |
| 18-24 · unknown | 0.2% |
| 18-24 · male | 2.1% |
| 45-54 · male | 4.7% |
| 35-44 · male | 3.4% |
| 55-64 · unknown | 0.4% |
| 65+ · female | 29.5% |
| 45-54 · female | 5.8% |
| 55-64 · male | 9.1% |
| 55-64 · female | 16.5% |
| 25-34 · male | 3.9% |
| 65+ · male | 14.3% |
| 25-34 · unknown | 0.2% |
| 65+ · unknown | 0.6% |
