ANDREW SCOTT SMITH FOR CONGRESS
I'm running to be your next U.S. Senator from the great state of Mississippi Why? Because it's time we had a consistent conservative in office who will actually vote like they should and do what they told you they would. I've written 19 bills that back up my promise to you: 1. A Secure Fiscal Future 2. Strengthen Our Families 3. Return to a free, open, and competitive market I need your help to make this happen! We need donations, volunteers, and fighters who are willing to step up, speak out, and share information with friends, family, and neighbors. Go to andrewscottsmith.com to read the full bills. Come March 10th and November 3rd, let's actually vote for someone who will be YOUR champion.
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 26.0/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 39.6 · 1.7 · 62.6 |
| Spend range | <USD 99 |
| Impressions | 2,000 – 2,999 |
| CPM (≈ $/1k impr) | USD 19.8 |
| Est. audience size | — |
| Days live | 7 (2025-11-05 → 2025-11-12) |
| Created | 2025-11-05 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MS — Andrew Smith |
| Surfaced by | “senate:Andrew Smith” |
| Issue | economy taxes |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | hope |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Side-by-side graphic layout presenting a 'Day One Plan' alongside a detailed 'What You'll Feel' policy benefit card, emphasizing legislative credibility |
| Tactic | The ad uses a credibility-through-specificity tactic — citing 19 written bills and a detailed policy menu — to position the candidate as a uniquely prepared and trustworthy consistent conservative, contrasting implicitly with incumbents who fail to follow through. |
| Mississippi | 100.0% |
| 18-24 · female | 0.9% |
| 45-54 · male | 14.5% |
| 65+ · male | 12.1% |
| 65+ · female | 10.3% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 16.1% |
| 55-64 · female | 9.2% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.0% |
| 18-24 · male | 2.9% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 13.4% |
| 35-44 · female | 3.3% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 9.8% |
| 25-34 · female | 1.8% |
| 65+ · unknown | 0.3% |