Sarah Adlakha for US Senate US Inactive
SARAH ADLAKHA FOR SENATE
Insider trading
Ad copy
Just this month, a Senate committee had the chance to advance a bill that would ban members of Congress from trading individual stocks. It failed. This shouldn’t be controversial. Lawmakers have access to information the rest of us don’t — and no one should be allowed to profit from that. Public service should never be a side hustle. It should be service. Period. #MississippiFirstAmericaAlways #SarahForSenate #usa #Politics #Senate #InsiderTrading
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 38.4/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 65.4 · 1.1 · 69.6 |
| Spend range | USD 200–299 |
| Impressions | 30,000 – 34,999 |
| CPM (≈ $/1k impr) | USD 7.68 |
| Est. audience size | — |
| Days live | 5 (2025-12-27 → 2026-01-01) |
| Created | 2025-12-27 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MS — Sarah Adlakha |
| Surfaced by | “senate:Sarah Adlakha” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate, opponent |
| Symbols | money cash |
| Call to action | learn more |
| Standout element | news screenshot of opponent blocking stock-trading ban embedded above candidate selfie-style video frame |
| Tactic | The ad uses a credible third-party news headline to implicate the incumbent in protecting congressional stock-trading privileges, while the candidate's approachable selfie style creates an authentic contrast that frames her as a reform outsider. |
Where it ran (delivery by region)
| Mississippi | 100.0% |
Who saw it (delivery)
| 25-34 · female | 0.2% |
| 25-34 · male | 1.2% |
| 25-34 · unknown | 0.0% |
| 35-44 · female | 1.8% |
| 35-44 · male | 8.0% |
| 35-44 · unknown | 0.0% |
| 45-54 · female | 3.9% |
| 45-54 · male | 14.4% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 7.8% |
| 55-64 · male | 23.6% |
| 55-64 · unknown | 0.2% |
| 65+ · female | 14.0% |
| 65+ · male | 24.6% |
| 65+ · unknown | 0.3% |
