Sarah Adlakha for US Senate US Inactive
SARAH ADLAKHA FOR SENATE
Home - Sarah for US Senate
Donate Today Meet Sarah Sarah Adlakha was born to parents who embodied resilience and responsibility—a mother who fled war-torn Europe and rebuilt her life, and a father shaped by the […]
Ad copy
Washington has enough career politicians. Mississippi needs leaders who’ve lived real life, signed the term limits pledge, and are funded by the people. Not D.C. PACs. I’m running because I’ve built businesses, balanced budgets, and fought government overreach firsthand. It’s time for a citizen Senator who puts Mississippi and America First. #MississippiFirstAmericaAlways #SarahForSenate
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Performance proxies
| Overall score | 39.1/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 68.1 · 1.1 · 75.5 |
| Spend range | USD 100–199 |
| Impressions | 40,000 – 44,999 |
| CPM (≈ $/1k impr) | USD 3.52 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 5 (2026-01-17 → 2026-01-22) |
| Created | 2026-01-17 |
| 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 | contrast comparison |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate, opponent |
| Symbols | none |
| Call to action | vote |
| Standout element | Side-by-side comparison chart with green checkmarks vs. red X's contrasting the two candidates across Career, Fundraising, Term Limits, and Priorities |
| Tactic | The scorecard contrast format systematically disqualifies the incumbent on every dimension (career politician, PAC funding, no term limits pledge) while validating the challenger, making the anti-establishment argument visually conclusive rather than merely asserted. |
Where it ran (delivery by region)
| Mississippi | 100.0% |
Who saw it (delivery)
| 25-34 · female | 0.3% |
| 25-34 · male | 1.2% |
| 35-44 · female | 2.7% |
| 35-44 · male | 7.0% |
| 35-44 · unknown | 0.1% |
| 45-54 · female | 7.6% |
| 45-54 · male | 15.4% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 13.0% |
| 55-64 · male | 19.5% |
| 55-64 · unknown | 0.2% |
| 65+ · female | 15.5% |
| 65+ · male | 17.1% |
| 65+ · unknown | 0.2% |
