Andrew Scott Smith for Congress US Inactive
ANDREW SCOTT SMITH FOR CONGRESS
Ad copy
My name is Andrew Scott Smith, and I'm running to be your next U.S. Senator from the great state of Mississippi. Unlike Cindy Hyde-Smith I actually have a plan. I have 1 promise, 3 pillars, 19 ready-to-file bills. 1. Secure a fiscal future 2. Strengthen our families 3. Return a free, open, & competitive market If you'd like to know more, read the bills, need a yard sign, or want to help spread our message across the state, go to andrewscottsmith.com I'd appreciate your vote and support on March 10th. I am the consistent conservative you can trust #ConsistentConservative #AndrewScottSmith #USSenate2026 #Mississippi #Senate #SellOutCindy
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 19.0/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 24.3 · 0.6 · 51.2 |
| Spend range | <USD 99 |
| Impressions | 100 – 999 |
| CPM (≈ $/1k impr) | USD 90.08 |
| Est. audience size | — |
| Days live | 3 (2025-11-09 → 2025-11-12) |
| Created | 2025-11-09 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MS — Andrew Smith |
| Surfaced by | “senate:Andrew Smith” |
🧠 AI analysis
| Issue | other |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | learn more |
| Standout element | Candidate seated in a wood-paneled study beside a vintage radio and a campaign sign on a retro TV, evoking old-school gravitas |
| Tactic | The ad uses a direct contrast attack — 'Unlike Cindy Hyde-Smith I actually have a plan' — paired with specific policy credentials (19 bills) to position the challenger as the more substantive, prepared conservative choice. |
Where it ran (delivery by region)
| Mississippi | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 18-24 · male | 0.4% |
| 25-34 · female | 0.7% |
| 25-34 · male | 1.8% |
| 35-44 · female | 0.4% |
| 35-44 · male | 2.9% |
| 45-54 · female | 1.4% |
| 45-54 · male | 5.2% |
| 55-64 · female | 5.3% |
| 55-64 · male | 14.1% |
| 55-64 · unknown | 0.2% |
| 65+ · female | 31.2% |
| 65+ · male | 35.5% |
| 65+ · unknown | 0.9% |
