Sarah Adlakha for US Senate US Inactive
SARAH ADLAKHA FOR SENATE
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Ad copy
Senator Hyde-Smith once said, “The only people interested in debates are reporters and losing candidates.” I disagree. Voters deserve debates. They deserve answers. They deserve to see candidates stand up, explain their records, and defend their votes. I’ve formally challenged Senator Hyde-Smith to a debate. We sent a certified letter. There has been no response. Mississippians deserve better than silence. This campaign isn’t about insiders or political comfort. It’s about accountability. I’ll show up. I’ll answer questions. I’ll debate anywhere, anytime, in front of the people we’re asking to serve. Because Mississippi voters matter.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 36.4/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 61.7 · 1.1 · 70.7 |
| Spend range | USD 100–199 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 6.64 |
| Est. audience size | — |
| Days live | 5 (2026-02-20 → 2026-02-25) |
| Created | 2026-02-20 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MS — Sarah Adlakha |
| Surfaced by | “senate:Sarah Adlakha” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | none |
| Call to action | none |
| Standout element | Opponent's own dismissive quote overlaid directly on her smiling face, creating sharp ironic contrast |
| Tactic | The ad weaponizes Hyde-Smith's own words against her, using a damning self-quote paired with her photo and a rhetorical appeal to voters to frame the incumbent as arrogant and unaccountable. |
Where it ran (delivery by region)
| Mississippi | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 7.1% |
| 65+ · male | 36.3% |
| 65+ · female | 24.2% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 16.2% |
| 55-64 · female | 7.8% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 2.5% |
| 18-24 · male | 0.2% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 2.6% |
| 35-44 · female | 0.9% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 1.3% |
| 25-34 · female | 0.3% |
| 65+ · unknown | 0.3% |
