Dr. Lorita Daniels for US Senate US Inactive
LORITA DANIELS FOR US SENATE
Ad copy
Everything I stand for in this campaign comes down to three things: education, healthcare, and affordability. As a lifelong educator, I know strong schools build strong futures. As a mom and caregiver, I’ve seen how broken our healthcare system really is. And as someone who’s lived paycheck to paycheck, I know affordability isn’t a talking point, it’s survival. These aren’t just policies on paper. They’re personal. And they’re exactly what I’ll fight for every single day in the U.S. Senate. Let’s build a future where real people come first. Learn more at https://loritadaniels.com/ #LoritaForSenate #PeopleFirst #EducationMatters #AffordabilityNow #VApolitics
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 19.0/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 24.3 · 0.6 · 51.2 |
| Spend range | <USD 99 |
| Impressions | 100 – 999 |
| CPM (≈ $/1k impr) | USD 90.08 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 3 (2026-03-02 → 2026-03-05) |
| Created | 2026-03-02 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | VA — Lorita Daniels |
| Surfaced by | “senate:Lorita Daniels” |
🧠 AI analysis
| Issue | other |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | hope |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | healthcare, family |
| Call to action | learn more |
| Standout element | Three interlocking Venn diagram circles in purple, red, and blue representing Education, Affordability, and Healthcare as overlapping campaign pillars |
| Tactic | The ad uses a clean, visual three-pillar framework paired with personal biography storytelling to make policy feel emotionally grounded and authentic to everyday lived experience. |
Where it ran (delivery by region)
| Virginia | 100.0% |
Who saw it (delivery)
| 18-24 · female | 4.6% |
| 45-54 · female | 2.6% |
| 65+ · male | 21.7% |
| 65+ · female | 21.9% |
| 55-64 · unknown | 0.4% |
| 55-64 · male | 8.4% |
| 55-64 · female | 7.3% |
| 45-54 · male | 4.4% |
| 35-44 · unknown | 0.4% |
| 18-24 · male | 8.4% |
| 35-44 · male | 3.8% |
| 35-44 · female | 3.5% |
| 25-34 · unknown | 0.6% |
| 25-34 · male | 7.5% |
| 25-34 · female | 3.5% |
| 18-24 · unknown | 0.3% |
| 65+ · unknown | 0.6% |
