Sarah Adlakha for US Senate US Inactive
SARAH ADLAKHA FOR SENATE
The free market won!
Ad copy
We fought government red tape all the way to the Mississippi Supreme Court and we WON. That’s what real conservative principles look like in action. We didn’t just talk about the free market. We defended it and delivered results for Mississippi. Medical. Retail. Hotel. Jobs. Growth. And I’m ready to take that same fight to Washington for the entire state. No battle is too big. I need your vote in the Republican Primary on 3/10 for US senate. 🇺🇸
↗ 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 (2026-03-01 → 2026-03-06) |
| Created | 2026-03-01 |
| 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 | positive candidate |
| Message type | persuasion |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | us flag, factory industry |
| Call to action | vote |
| Standout element | Candidate standing confidently at an active construction site symbolizing economic growth and results |
| Tactic | The ad leverages a concrete legal victory against government red tape as proof-of-action credibility, positioning the candidate as a fighter who delivers real free-market results rather than just talking points. |
Where it ran (delivery by region)
| Mississippi | 11.3% |
| Texas | 5.6% |
| Florida | 5.1% |
| California | 4.6% |
| Virginia | 4.3% |
| Illinois | 3.8% |
| Pennsylvania | 3.4% |
Who saw it (delivery)
| 18-24 · female | 0.3% |
| 45-54 · male | 7.6% |
| 65+ · male | 39.7% |
| 65+ · female | 12.8% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 23.1% |
| 55-64 · female | 5.0% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 1.3% |
| 18-24 · male | 2.6% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 3.5% |
| 35-44 · female | 0.5% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 2.6% |
| 25-34 · female | 0.3% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.4% |
