Sarah Adlakha for US Senate US Inactive
SARAH ADLAKHA FOR SENATE
Cindy Hyde-Smith's GOP Challenger makes the rounds in Northeast MS
Mississippi Senator Cindy Hyde-Smith has a GOP Challenger, and she was making the rounds in Northeast Mississippi.
Ad copy
Funny how quick things move when you start shining a light on the problems in Jackson. Donald J. Trump's White House is paying attention - and so are voters.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 35.8/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 59.2 · 1.4 · 65.0 |
| Spend range | USD 200–299 |
| Impressions | 15,000 – 19,999 |
| CPM (≈ $/1k impr) | USD 14.26 |
| Est. audience size | — |
| Days live | 6 (2025-09-13 → 2025-09-19) |
| Created | 2025-09-12 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MS — Sarah Adlakha |
| Surfaced by | “senate:Sarah Adlakha” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | hope |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | us flag |
| Call to action | learn more |
| Standout element | Local TV news chyron legitimizing the challenger with a CBS affiliate lower-third |
| Tactic | The ad borrows earned-media credibility from a local TV news segment to position Adlakha as a rising, newsworthy challenger while name-dropping Trump's White House to signal electability and momentum. |
Where it ran (delivery by region)
| Mississippi | 7.7% |
| Texas | 7.6% |
| Florida | 6.6% |
| Alabama | 5.4% |
| Tennessee | 5.1% |
| Louisiana | 4.5% |
| Georgia | 3.9% |
Who saw it (delivery)
| 18-24 · female | 0.0% |
| 45-54 · male | 4.6% |
| 65+ · male | 38.5% |
| 65+ · female | 27.1% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 15.0% |
| 55-64 · female | 7.5% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 1.8% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 3.0% |
| 35-44 · female | 0.8% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.6% |
| 25-34 · female | 0.2% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.6% |
