SARAH ADLAKHA FOR SENATE
The race is on. There’s just one month left before the Republican primary for U.S. Senate on March 10, where I’m taking on Senator Cindy Hyde-Smith and the powerful political establishment. I entered this race focused on healthcare reform, fiscal responsibility, and limiting government overreach. But as my team started investigating, it became clear that real reform is impossible without ending corruption first. That’s why I’m fighting for: • term limits • a ban on stock trading by members of Congress • no lobbyist donations I give you my word: I will never misuse campaign donations or treat your support like a personal expense. Integrity matters. If you’re able, please consider donating to the cause. Any amount truly helps as we fight the political machine in this final stretch. SarahForMississippi.com
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 35.2/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 59.2 · 1.1 · 68.8 |
| Spend range | USD 100–199 |
| Impressions | 15,000 – 19,999 |
| CPM (≈ $/1k impr) | USD 8.54 |
| Est. audience size | — |
| Days live | 5 (2026-02-09 → 2026-02-14) |
| Created | 2026-02-09 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MS — Sarah Adlakha |
| Surfaced by | “senate:Sarah Adlakha” |
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | vote |
| Standout element | DIY selfie-style video thumbnail with bold website URL overlay creates an authenticity-over-polish contrast against the polished incumbent |
| Tactic | The ad uses anti-corruption populist framing and a direct-to-camera confessional style to position the challenger as a trustworthy outsider taking on an entrenched establishment, leveraging intimacy and authenticity as substitutes for production value. |
| Mississippi | 100.0% |
| 25-34 · female | 0.1% |
| 25-34 · male | 0.6% |
| 35-44 · female | 1.0% |
| 35-44 · male | 3.6% |
| 35-44 · unknown | 0.0% |
| 45-54 · female | 2.5% |
| 45-54 · male | 9.4% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 7.4% |
| 55-64 · male | 21.8% |
| 55-64 · unknown | 0.1% |
| 65+ · female | 18.5% |
| 65+ · male | 34.6% |
| 65+ · unknown | 0.4% |