Bill Cassidy US Inactive
Bill Cassidy for US Senate
⚠ 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.
Senator Cassidy: Proven Conservative Leader
Ad copy
This election is critically important to protecting our American ideals. The left wants a Green New Deal, they want to pack the courts and they want to encroach upon our Second Amendment rights. Make sure you push back by Early voting or voting on Nov 3rd.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 40.0/100 |
| Spend / Reach / Long. / Eff. | 30.5 · 66.9 · 1.1 · 61.6 |
| Spend range | USD 800–899 |
| Impressions | 35,000 – 39,999 |
| CPM (≈ $/1k impr) | USD 22.65 |
| Est. audience size | — |
| Days live | 5 (2020-10-22 → 2020-10-27) |
| Created | 2020-10-22 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | LA — Bill Cassidy |
| Surfaced by | “senate:Bill Cassidy” |
🧠 AI analysis
| Issue | other |
| Framing | positive candidate |
| Message type | gotv mobilization |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | vote |
| Standout element | Facebook content-removal notice obscuring the original ad creative |
| Tactic | The ad uses threat-framing — listing leftist policy boogymen (Green New Deal, court-packing, 2A erosion) — to drive urgency and GOTV action among conservative base voters, though the persuasive content is now hidden behind a platform policy removal notice. |
Where it ran (delivery by region)
| Louisiana | 100.0% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 35-44 · male | 11.6% |
| 45-54 · unknown | 0.2% |
| 35-44 · unknown | 0.1% |
| 25-34 · male | 7.8% |
| 65+ · male | 10.0% |
| 18-24 · female | 1.3% |
| 25-34 · female | 2.5% |
| 55-64 · female | 12.8% |
| 25-34 · unknown | 0.1% |
| 45-54 · male | 13.4% |
| 35-44 · female | 4.7% |
| 55-64 · male | 15.9% |
| 45-54 · female | 6.9% |
| 18-24 · male | 2.3% |
| 65+ · female | 10.1% |
| 55-64 · unknown | 0.1% |
| 65+ · unknown | 0.1% |
