Sarah Adlakha for US Senate US Inactive
SARAH ADLAKHA FOR SENATE
Balance the budget
Ad copy
If Washington had passed the Penny Plan seven years ago, we’d already have a balanced budget, and we’d be chipping that debt down every single day. But instead, Congress — including Cindy Hyde-Smith — voted against cutting just one penny on the dollar from federal spending. One penny. It’s time to get serious about our spending problem in Washington. #MississippiFirstAmericaAlways #SarahforSenate
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 33.7/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 55.8 · 0.8 · 66.3 |
| Spend range | USD 100–199 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 11.96 |
| Est. audience size | — |
| Days live | 4 (2025-12-17 → 2025-12-21) |
| Created | 2025-12-17 |
| 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 | contrast comparison |
| Message type | persuasion |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | learn more |
| Standout element | Candidate filming herself outdoors in casual attire, giving a direct-to-camera selfie-style pitch that signals authenticity over polish |
| Tactic | The 'one penny' repetition is a minimalist shaming device designed to make the opponent's vote seem indefensibly petty, converting a complex budget debate into a visceral, relatable contrast. |
Where it ran (delivery by region)
| Mississippi | 100.0% |
Who saw it (delivery)
| 25-34 · female | 0.1% |
| 25-34 · male | 0.3% |
| 25-34 · unknown | 0.0% |
| 35-44 · female | 1.0% |
| 35-44 · male | 2.6% |
| 35-44 · unknown | 0.0% |
| 45-54 · female | 2.5% |
| 45-54 · male | 6.2% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 8.8% |
| 55-64 · male | 16.6% |
| 55-64 · unknown | 0.1% |
| 65+ · female | 28.9% |
| 65+ · male | 32.3% |
| 65+ · unknown | 0.4% |
