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.
Add your name today!
Commit to keep the Majority RED!
Ad copy
If Republicans are going to win in 2020, we need the support of ALL grassroots conservatives. Add your name to show Senator Bill Cassidy and President Trump you're in the fight to keep the Majority RED in 2020!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 39.4/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 59.2 · 14.9 · 62.5 |
| Spend range | USD 300–399 |
| Impressions | 15,000 – 19,999 |
| CPM (≈ $/1k impr) | USD 19.97 |
| Est. audience size | — |
| Days live | 55 (2020-01-17 → 2020-03-12) |
| Created | 2020-01-17 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | LA — Bill Cassidy |
| Surfaced by | “senate:Bill Cassidy” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | list building survey |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | sign petition |
| Standout element | Facebook policy removal notice blocking the original ad content |
| Tactic | The ad uses a name-collection petition mechanic tied to Trump and party loyalty to mobilize conservative base supporters, but the actual creative is obscured by a platform policy violation takedown notice. |
Where it ran (delivery by region)
| Louisiana | 100.0% |
Who saw it (delivery)
| 35-44 · unknown | 0.0% |
| 45-54 · unknown | 0.0% |
| 55-64 · unknown | 0.1% |
| 65+ · unknown | 0.2% |
| 18-24 · female | 0.4% |
| 55-64 · male | 13.6% |
| 45-54 · male | 5.6% |
| 35-44 · male | 1.7% |
| 35-44 · female | 1.2% |
| 18-24 · male | 0.4% |
| 25-34 · male | 0.8% |
| 65+ · female | 36.8% |
| 45-54 · female | 4.2% |
| 65+ · male | 16.7% |
| 55-64 · female | 17.3% |
| 25-34 · female | 0.9% |
