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.
Give $10 ->
Help Bill fight back!
Ad copy
Chuck Schumer is coming after my home state to defeat Senator Bill Cassidy and flip Louisiana blue. We need your help to fight back. Will you give $10 today to protect the Senate Majority?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 59.9/100 |
| Spend / Reach / Long. / Eff. | 65.7 · 98.4 · 15.2 · 60.4 |
| Spend range | USD 20,000–24,999 |
| Impressions | 800,000 – 899,999 |
| CPM (≈ $/1k impr) | USD 26.47 |
| Est. audience size | — |
| Days live | 56 (2020-08-10 → 2020-10-05) |
| Created | 2020-08-10 |
| 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 | informational |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Facebook content-removed placeholder screen revealing the ad was pulled for disclaimer non-compliance |
| Tactic | The ad leverages fear of outside interference (Schumer flipping Louisiana blue) paired with a direct $10 donation ask to drive urgency, but the creative itself is invisible due to a compliance removal notice. |
Where it ran (delivery by region)
| Louisiana | 100.0% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 25-34 · male | 2.2% |
| 25-34 · unknown | 0.0% |
| 55-64 · unknown | 0.2% |
| 45-54 · unknown | 0.2% |
| 35-44 · female | 3.0% |
| 25-34 · female | 1.0% |
| 55-64 · male | 14.9% |
| 65+ · male | 14.7% |
| 18-24 · female | 0.2% |
| 45-54 · female | 7.8% |
| 55-64 · female | 16.0% |
| 65+ · female | 21.9% |
| 45-54 · male | 11.0% |
| 35-44 · male | 6.0% |
| 18-24 · male | 0.5% |
| 65+ · unknown | 0.3% |
| 35-44 · unknown | 0.1% |
