Mark Warner VA US Inactive
FRIENDS OF MARK WARNER
Mark Warner Fights For Your Health Care
Ad copy
Senator Mark Warner passed and defended the health care bill that saved the lives of many Virginians -- including Gabrielle. Gabrielle was born with a serious medical condition. When she was denied coverage, Mark Warner fought for her, and he’ll continue to fight so every Virginian has access to health care.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 50.1/100 |
| Spend / Reach / Long. / Eff. | 56.4 · 85.0 · 2.2 · 56.9 |
| Spend range | USD 9,000–9,999 |
| Impressions | 200,000 – 249,999 |
| CPM (≈ $/1k impr) | USD 42.22 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 9 (2020-10-25 → 2020-11-03) |
| Created | 2020-10-23 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | VA — Mark Warner |
| Surfaced by | “senate:Mark Warner” |
🧠 AI analysis
| Issue | healthcare |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | medical |
| Symbols | healthcare |
| Call to action | learn more |
| Standout element | Real constituent testimonial with name/location chyron giving grassroots authenticity to a healthcare coverage story |
| Tactic | Surrogate storytelling tactic uses a relatable constituent with a pre-existing condition to humanize Warner's healthcare record and build empathy-driven credibility without the candidate appearing on screen. |
Where it ran (delivery by region)
| Virginia | 100.0% |
Who saw it (delivery)
| 55-64 · unknown | 0.1% |
| 45-54 · female | 14.3% |
| 45-54 · unknown | 0.2% |
| 65+ · unknown | 0.0% |
| 35-44 · unknown | 0.2% |
| 25-34 · female | 17.5% |
| 25-34 · male | 11.9% |
| 45-54 · male | 9.1% |
| 35-44 · female | 17.5% |
| 65+ · male | 1.6% |
| 35-44 · male | 9.8% |
| 25-34 · unknown | 0.2% |
| 18-24 · female | 3.6% |
| 65+ · female | 1.9% |
| 18-24 · male | 2.9% |
| 55-64 · male | 4.3% |
| 55-64 · female | 4.9% |
| 18-24 · unknown | 0.0% |
