Andrew Scott Smith for Congress US Inactive
ANDREW SCOTT SMITH FOR CONGRESS
Ad copy
Only registered to vote in Mississippi LAST YEAR (via DMV). Voted in the Democratic primary for President in Ohio ’08. We don't know who you voted for in that election, but it wasn't a Republican. (while Ohio doesn't register voters by party, you requested the Democrat ballot and were listed by SOS as affiliated.) Posted praise for Kamala’s 2020 win, “a Black woman, an Indian woman.” Then deleted it when called out. Now you’re running for U.S. Senate as a Republican and shouting “stand with Trump” at almost every stop? What changed, Sarah? Better yet, what are you trying to hide? Voter files can be found at andrewscottsmith.com/sarah-the-rino
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 23.6/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 34.4 · 1.1 · 58.7 |
| Spend range | <USD 99 |
| Impressions | 1,000 – 1,999 |
| CPM (≈ $/1k impr) | USD 33.01 |
| Est. audience size | — |
| Days live | 5 (2025-09-19 → 2025-09-24) |
| Created | 2025-09-19 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MS — Andrew Smith |
| Surfaced by | “senate:Andrew Smith” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | learn more |
| Standout element | Rustic wood-panel backdrop with bearded candidate speaking directly to camera in a direct-to-voter selfie style video |
| Tactic | The ad uses an opposition research dump delivered in a conversational, direct-to-camera style to brand the opponent as a fake Republican with a documented Democratic voting history, leveraging authenticity-signaling DIY aesthetics to make the attack feel like a genuine revelation rather than a polished hit. |
Where it ran (delivery by region)
| Mississippi | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.3% |
| 45-54 · male | 10.9% |
| 65+ · male | 23.1% |
| 65+ · female | 17.3% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 26.1% |
| 55-64 · female | 9.7% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 3.4% |
| 18-24 · male | 1.2% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 4.2% |
| 35-44 · female | 1.0% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 2.1% |
| 25-34 · female | 0.2% |
| 65+ · unknown | 0.1% |
