SARAH ADLAKHA FOR SENATE
When you’re running for the US Senate, people want to know where you stand on social issues. I am pro life. But that belief does not come from a party platform or a political talking point. It comes from life experience. Adoption changes you. It opens your eyes to the sacrifices another woman made so your child could live and have a future. It makes you realize how precious every life is and how important it is that we support both mothers and children with real help, real community, and real compassion. My perspective was not shaped in Washington. It was shaped right here at home. Thank you to Elijah’s Closet and the people who pour their hearts into serving others. You remind all of us what living out our values truly looks like.
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 35.2/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 59.2 · 1.1 · 68.8 |
| Spend range | USD 100–199 |
| Impressions | 15,000 – 19,999 |
| CPM (≈ $/1k impr) | USD 8.54 |
| Est. audience size | — |
| Days live | 5 (2026-02-21 → 2026-02-26) |
| Created | 2026-02-21 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MS — Sarah Adlakha |
| Surfaced by | “senate:Sarah Adlakha” |
| Issue | abortion |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | diy amateur |
| Who pictured | candidate, diverse crowd |
| Symbols | family |
| Call to action | learn more |
| Standout element | Candidate in casual volunteer attire taking a selfie at a charity closet, grounding her pro-life stance in grassroots community service rather than politics |
| Tactic | The ad uses personal adoption narrative and hands-on volunteerism to reframe pro-life beliefs as lived compassion rather than ideology, making it emotionally disarming and highly relatable to values-driven voters. |
| Mississippi | 100.0% |
| 18-24 · female | 0.6% |
| 45-54 · male | 3.8% |
| 65+ · male | 22.9% |
| 65+ · female | 37.1% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 9.7% |
| 55-64 · female | 11.7% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.2% |
| 18-24 · male | 0.4% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 2.6% |
| 35-44 · female | 3.1% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 1.7% |
| 25-34 · female | 1.3% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.3% |