Sarah Adlakha for US Senate US Inactive
SARAH ADLAKHA FOR SENATE
facebook.me
Ad copy
Public records are not attacks. They’re facts. According to a Clarion Ledger report citing the nonpartisan Center for Effective Lawmaking, none of the bills Senator Hyde-Smith has sponsored since entering the Senate in 2018 have become law. The same Center for Effective Lawmaking has consistently ranked her among the least effective Republican senators — in some years DEAD LAST. So the question is fair: how is she spending her time in Washington? Mississippi deserves more than campaign credit card charges and political talking points. We deserve results. We deserve effectiveness. We deserve better.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 29.9/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 49.2 · 0.6 · 69.7 |
| Spend range | <USD 99 |
| Impressions | 6,000 – 6,999 |
| CPM (≈ $/1k impr) | USD 7.62 |
| Est. audience size | — |
| Days live | 3 (2026-02-27 → 2026-03-02) |
| Created | 2026-02-27 |
| 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 | learn more |
| Standout element | Bold damning quote from Clarion Ledger overlaid on a darkened unflattering photo of the incumbent senator |
| Tactic | The ad uses a third-party credibility shield — citing a nonpartisan academic tracking center and a local news outlet — to frame a record of legislative ineffectiveness as objective fact rather than partisan attack, neutralizing the opponent's ability to dismiss it as mudslinging. |
Where it ran (delivery by region)
| Florida | 6.0% |
| New York | 6.0% |
| Texas | 5.9% |
| California | 5.9% |
| Pennsylvania | 4.7% |
| Virginia | 4.2% |
| Ohio | 3.7% |
Who saw it (delivery)
| 18-24 · female | 2.2% |
| 45-54 · male | 5.3% |
| 65+ · male | 32.2% |
| 65+ · female | 13.7% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 13.0% |
| 55-64 · female | 3.6% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 1.1% |
| 18-24 · male | 13.4% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 4.3% |
| 35-44 · female | 1.1% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 7.7% |
| 25-34 · female | 1.4% |
| 18-24 · unknown | 0.2% |
| 65+ · unknown | 0.3% |
