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.
20,000 BIRTHDAY WISHES NEEDED:
Sign Justice Ruth Bader Ginsburg’s birthday card! >>
Ad copy
Will you sign Justice Ruth Bader Ginsburg’s birthday card for her big day? I need 20,000 signatures to show her how grateful we are to have her fighting tirelessly for us on the bench. I know she’ll be so touched to read your messages!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 41.5/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 51.9 · 37.2 · 59.6 |
| Spend range | USD 200–299 |
| Impressions | 8,000 – 8,999 |
| CPM (≈ $/1k impr) | USD 29.35 |
| Est. audience size | — |
| Days live | 136 (2020-03-17 → 2020-07-31) |
| Created | 2020-03-17 |
| 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 | positive candidate |
| Message type | list building survey |
| Emotional appeal | empathy |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | sign petition |
| Standout element | Facebook content removal notice obscuring the original ad creative |
| Tactic | A classic list-building tactic using an emotional celebrity proxy (RBG birthday card) to harvest email signatures and grow the campaign contact list under the guise of a heartfelt tribute. |
Where it ran (delivery by region)
| California | 11.9% |
| New York | 9.4% |
| Florida | 6.8% |
| Texas | 5.3% |
| Pennsylvania | 3.7% |
| Illinois | 3.6% |
| Ohio | 3.5% |
Who saw it (delivery)
| 35-44 · unknown | 0.1% |
| 25-34 · female | 2.2% |
| 45-54 · female | 3.0% |
| 35-44 · male | 4.5% |
| 18-24 · male | 3.6% |
| 65+ · male | 22.1% |
| 18-24 · unknown | 0.2% |
| 25-34 · unknown | 0.2% |
| 55-64 · male | 13.7% |
| 55-64 · unknown | 0.3% |
| 25-34 · male | 5.6% |
| 18-24 · female | 1.5% |
| 65+ · female | 22.8% |
| 35-44 · female | 1.3% |
| 55-64 · female | 9.2% |
| 65+ · unknown | 0.7% |
| 45-54 · unknown | 0.1% |
| 45-54 · male | 8.8% |
