Blake Miguez for Louisiana
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🚨CALLING ALL CONSERVATIVES 🚨 Bill Cassidy voted to convict President Trump. So we’re building a list of patriots who want him replaced.
🚨CALLING ALL CONSERVATIVES 🚨 Bill Cassidy voted to convict President Trump. So we’re building a list of patriots who want him replaced.
🚨CALLING ALL CONSERVATIVES 🚨 Bill Cassidy voted to convict President Trump. So we’re building a list of patriots who want him replaced.
🚨CALLING ALL CONSERVATIVES 🚨 Bill Cassidy voted to convict President Trump. So we’re building a list of patriots who want him replaced.
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| Overall score | 37.7/100 |
| Spend / Reach / Long. / Eff. | 23.7 · 61.7 · 3.0 · 62.5 |
| Spend range | USD 400–499 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 19.98 |
| Est. audience size | — |
| Days live | 12 (2025-07-13 → 2025-07-25) |
| Created | 2025-07-13 |
| Creative variants | 4 body · 4 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | LA — Blake Miguez |
| Surfaced by | “senate:Blake Miguez” |
| Issue | democracy elections |
| Framing | attack opponent |
| Message type | list building survey |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | none |
| Call to action | sign petition |
| Standout element | Dark, desaturated close-up of Bill Cassidy with menacing lighting alongside bold 'STOP BILL CASSIDY' text and signature line |
| Tactic | Classic list-building attack using Trump loyalty as the wedge issue — the unflattering photo of Cassidy and petition mechanic converts outrage into a voter/donor list for Blake Miguez. |
| Louisiana | 25.4% |
| Texas | 16.5% |
| Florida | 5.8% |
| Mississippi | 4.9% |
| Alabama | 4.5% |
| Tennessee | 3.6% |
| Oklahoma | 3.5% |
| 18-24 · female | 0.0% |
| 45-54 · male | 3.8% |
| 65+ · male | 33.1% |
| 65+ · female | 32.1% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 17.3% |
| 55-64 · female | 9.2% |
| 45-54 · unknown | 0.0% |
| 45-54 · female | 1.4% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 1.3% |
| 35-44 · female | 0.4% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.6% |
| 25-34 · female | 0.2% |
| 65+ · unknown | 0.4% |