Dr. Lorita Daniels for US Senate US Inactive
LORITA DANIELS FOR US SENATE
Ad copy
Did you hear this? We (US) spend the most on healthcare, and still, we have maternity deserts and the worst health outcomes. Healthcare solutions must start with the people who live the reality every day. When we center their voices, we create change that lasts. I’m committed to advocating for real access, real solutions, and a healthcare system that meets real needs.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 25.9/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 39.6 · 1.4 · 62.6 |
| Spend range | <USD 99 |
| Impressions | 2,000 – 2,999 |
| CPM (≈ $/1k impr) | USD 19.8 |
| Est. audience size | — |
| Days live | 6 (2025-12-21 → 2025-12-27) |
| Created | 2025-12-21 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | VA — Lorita Daniels |
| Surfaced by | “senate:Lorita Daniels” |
🧠 AI analysis
| Issue | healthcare |
| Framing | issue advocacy |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | diverse crowd, medical |
| Symbols | healthcare |
| Call to action | learn more |
| Standout element | Atlantic Festival panel on maternal health lending institutional credibility to the candidate's platform |
| Tactic | The ad borrows credibility from a prestigious media event (The Atlantic Festival) to position the candidate as a serious healthcare advocate, using the maternal health crisis as an emotionally resonant issue to build trust with voters. |
Where it ran (delivery by region)
| Texas | 6.1% |
| Florida | 5.9% |
| California | 5.4% |
| New York | 4.6% |
| Ohio | 4.2% |
| Pennsylvania | 4.1% |
| Virginia | 4.1% |
Who saw it (delivery)
| 18-24 · female | 2.4% |
| 45-54 · male | 3.9% |
| 65+ · male | 22.8% |
| 65+ · female | 29.2% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 14.3% |
| 55-64 · female | 13.6% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 2.3% |
| 18-24 · male | 2.3% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 3.6% |
| 35-44 · female | 1.3% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 2.0% |
| 25-34 · female | 1.5% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.4% |
