Blake Miguez US Inactive
Friends of Blake Miguez
Ad copy
Cassidy has two choices: Selfless or Selfish One: Be "Selfless" and support Louisiana voter's wishes by voting to confirm President Trump's nominee RFK JR to Make America Healthy Again. Two: Be "Selfish" and vote no to appease "Big Pharma" who will give him a BIG PAYING JOB after the voters send him packing in 2026. Senator Bill Cassidy, it's time to show what kind of man you really are! No more playing both sides. Louisiana deserves representation that reflects our values. #AmericaFirst #LouisianaDeservesBetter
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 38.0/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 63.8 · 1.4 · 65.9 |
| Spend range | USD 300–399 |
| Impressions | 25,000 – 29,999 |
| CPM (≈ $/1k impr) | USD 12.71 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 6 (2025-02-04 → 2025-02-10) |
| Created | 2025-02-04 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | LA — Blake Miguez |
| Surfaced by | “senate:Blake Miguez” |
🧠 AI analysis
| Issue | healthcare |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | opponent, candidate |
| Symbols | capitol statue, healthcare |
| Call to action | none |
| Standout element | Side-by-side photos framing Cassidy as the villain and RFK Jr. as the virtuous figure through implied contrast |
| Tactic | The ad uses a classic binary moral framing — 'selfless vs. selfish' — to pressure a sitting senator into compliance by threatening his post-office career prospects and invoking Big Pharma as a villainous corporate puppet master. |
Where it ran (delivery by region)
| Louisiana | 96.9% |
| Texas | 1.5% |
| Mississippi | 0.2% |
| Florida | 0.2% |
| Tennessee | 0.1% |
| Arkansas | 0.1% |
| Georgia | 0.1% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 18-24 · male | 0.3% |
| 25-34 · female | 0.2% |
| 25-34 · male | 0.9% |
| 35-44 · female | 1.1% |
| 35-44 · male | 2.7% |
| 35-44 · unknown | 0.0% |
| 45-54 · female | 4.3% |
| 45-54 · male | 6.7% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 14.1% |
| 55-64 · male | 15.7% |
| 55-64 · unknown | 0.1% |
| 65+ · female | 31.2% |
| 65+ · male | 22.3% |
| 65+ · unknown | 0.2% |
