Sarah Adlakha for US Senate US Inactive
SARAH ADLAKHA FOR SENATE
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Ad copy
I've been traveling across the state meeting with voters, answering questions, and listening to the issues that matter most to your communities. If you haven't been able to catch me at an event yet, I want to hear from you. Fill out the form below with your town and a suggested stop. I'll either route a visit your way, let you know when I'll be nearby, or reach out to you directly before Election Day to make sure your questions get answered. No town is too small. No question is off limits.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 36.0/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 59.2 · 1.1 · 62.5 |
| Spend range | USD 300–399 |
| Impressions | 15,000 – 19,999 |
| CPM (≈ $/1k impr) | USD 19.97 |
| Est. audience size | — |
| Days live | 5 (2026-02-28 → 2026-03-05) |
| Created | 2026-02-28 |
| 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 | list building survey |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | candidate, diverse crowd, seniors |
| Symbols | us flag, farm rural |
| Call to action | sign petition |
| Standout element | patriotic red-white-and-blue Whistle Stop Tour logo badge anchoring a collage of genuine grassroots community moments |
| Tactic | The ad uses an accessibility-and-listening frame — 'no town too small, no question off limits' — paired with a data-capture form to build a voter contact list while reinforcing the candidate's approachable, community-first identity. |
Where it ran (delivery by region)
| Mississippi | 53.5% |
| California | 4.0% |
| Texas | 3.5% |
| Florida | 3.0% |
| New York | 2.7% |
| Alabama | 2.1% |
| Pennsylvania | 1.7% |
Who saw it (delivery)
| 18-24 · female | 0.4% |
| 45-54 · male | 7.6% |
| 65+ · male | 39.0% |
| 65+ · female | 11.0% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 22.0% |
| 55-64 · female | 6.6% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 2.5% |
| 18-24 · male | 2.2% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 3.2% |
| 35-44 · female | 1.2% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 2.7% |
| 25-34 · female | 0.6% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.3% |
