Sarah Adlakha for US Senate US Inactive
SARAH ADLAKHA FOR SENATE
Sarah Adlakha Mississippi Senate Race Gains Momentum
Sarah Adlakha Mississippi Senate race launches with grassroots energy, challenging Cindy Hyde-Smith in the 2026 election.
Ad copy
"REPORT: Sarah Adlakha Campaign Gains Momentum." I am on my tour across Mississippi and, just a couple stops in, we are seeing an amazing response from voters. Here is an article highlighting the launch: stayamerican.org/sarah-adlakha-mississippi-senate-race This is only the beginning and more updates will follow soon.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 37.0/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 61.7 · 1.9 · 66.9 |
| Spend range | USD 200–299 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 11.09 |
| Est. audience size | — |
| Days live | 8 (2025-09-11 → 2025-09-19) |
| Created | 2025-09-11 |
| 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, border |
| Call to action | learn more |
| Standout element | Red podium banner reading 'PEOPLE FIRST NOT POLITICS' against a wall of branded campaign signs with Mississippi state outline |
| Tactic | The ad leverages a self-referential 'momentum' news hook combined with an authentic rally photo to build social proof and grassroots credibility for a challenger campaign. |
Where it ran (delivery by region)
| Mississippi | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.6% |
| 45-54 · male | 7.7% |
| 65+ · male | 34.7% |
| 65+ · female | 18.6% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 18.8% |
| 55-64 · female | 7.8% |
| 45-54 · unknown | 0.0% |
| 45-54 · female | 2.7% |
| 18-24 · male | 0.6% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 3.6% |
| 35-44 · female | 1.5% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 1.8% |
| 25-34 · female | 1.0% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.3% |
