Bill Cassidy for US Senate
U.S. Sen. Bill Cassidy (R-LA) on March 5 signed on as the lead original cosponsor of proposed legislation to better allocate Social Security benefits to America’s public servants. “Public servants should not be penalized for dedicating their lives to bettering Read more...
Teachers, firefighters and other public servants should not be penalized when it comes time for them to collect Social Security. I’m fighting to replace the Windfall Elimination Provision with a fair solution for all. https://riponadvance.com/stories/cassidys-bill-would-fairly-distribute-social-security-benefits-to-public-servants/
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 42.8/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 73.9 · 1.4 · 70.0 |
| Spend range | USD 500–599 |
| Impressions | 70,000 – 79,999 |
| CPM (≈ $/1k impr) | USD 7.33 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 6 (2020-10-21 → 2020-10-27) |
| Created | 2020-10-21 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | LA — Bill Cassidy |
| Surfaced by | “senate:Bill Cassidy” |
| Issue | social security medicare |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | none |
| Standout element | Facebook content-removed notice replacing the actual ad creative |
| Tactic | The ad leverages a sympathetic public servant frame and a legislative news citation to build credibility for Cassidy as a Social Security champion, though the creative itself is inaccessible due to a policy disclaimer violation flag. |
| Louisiana | 100.0% |
| 18-24 · unknown | 0.0% |
| 65+ · male | 12.1% |
| 25-34 · female | 1.2% |
| 18-24 · male | 1.2% |
| 35-44 · female | 3.3% |
| 35-44 · male | 7.1% |
| 45-54 · female | 7.6% |
| 55-64 · female | 15.4% |
| 45-54 · male | 11.2% |
| 45-54 · unknown | 0.1% |
| 55-64 · male | 14.9% |
| 65+ · female | 21.2% |
| 25-34 · male | 3.7% |
| 65+ · unknown | 0.2% |
| 18-24 · female | 0.4% |
| 55-64 · unknown | 0.2% |
| 35-44 · unknown | 0.1% |
| 25-34 · unknown | 0.1% |