ANDREW SCOTT SMITH FOR CONGRESS
Official campaign website for Andrew Scott Smith for U.S. Senate
Farmers don't want handouts. They want a free, open, & competitive market and to make a living. Socialism doesn't provide dignity, hard work does. Cindy Hyde-Smith can help offer bailouts to a self-made problem all day long if she wants. She can back and support as many socialist policies as she sees fit. They can even use the tariff revenue to relieve some pain, but that WON'T last forever, and it isn't a true solution to the problem. My plan? To provide you and your family the opportunity to do better and make an honest living, return a free, open, & competitive market, and to fight each day to keep independent farmers independent, not waiting on a government check. andrewscottsmith.com #USSenate2026 #AndrewScottSmith #ConsistentConservative #USSenate #TrueAg
β View in Meta Ad Library (the live creative β image/video/layout)
| Overall score | 19.0/100 |
| Spend / Reach / Long. / Eff. | 0.0 Β· 24.3 Β· 0.3 Β· 51.2 |
| Spend range | <USD 99 |
| Impressions | 100 β 999 |
| CPM (β $/1k impr) | USD 90.08 |
| Est. audience size | β |
| Days live | 2 (2025-10-26 β 2025-10-28) |
| Created | 2025-10-26 |
| Creative variants | 1 body Β· 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MS β Andrew Smith |
| Surfaced by | βsenate:Andrew Smithβ |
| Issue | agriculture rural |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | farm rural |
| Call to action | learn more |
| Standout element | stark 'Soybeans or Socialism?' headline over a sweeping soybean field horizon |
| Tactic | The ad uses a false binary framing β free markets vs. socialism β to position the opponent as anti-farmer while appealing to rural voters' identity and work ethic. |
| Mississippi | 100.0% |
| 18-24 Β· female | 0.9% |
| 18-24 Β· male | 2.3% |
| 18-24 Β· unknown | 0.2% |
| 25-34 Β· female | 0.9% |
| 25-34 Β· male | 2.3% |
| 35-44 Β· female | 1.2% |
| 35-44 Β· male | 2.3% |
| 35-44 Β· unknown | 0.2% |
| 45-54 Β· female | 2.9% |
| 45-54 Β· male | 6.1% |
| 55-64 Β· female | 7.4% |
| 55-64 Β· male | 14.9% |
| 65+ Β· female | 22.1% |
| 65+ Β· male | 35.5% |
| 65+ Β· unknown | 0.8% |