Mark Warner VA US Inactive
FRIENDS OF MARK WARNER
Finding a Cure
Learn More
Ad copy
Like too many Americans, Mark Warner has seen the impact of Alzheimer’s firsthand — his mother, Marjorie, struggled with Alzheimer’s for 11 years, not speaking at all during nine of those years. Her battle with the disease shaped Warner as a legislator, molding him into someone ready and willing to fight to improve access to health care for the most vulnerable among us. Learn more about Sen. Warner’s commitment to fighting for funding for Alzheimer’s research.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 47.2/100 |
| Spend / Reach / Long. / Eff. | 41.0 · 81.7 · 0.8 · 65.2 |
| Spend range | USD 2,000–2,499 |
| Impressions | 150,000 – 174,999 |
| CPM (≈ $/1k impr) | USD 13.84 |
| Est. audience size | — |
| Days live | 4 (2020-10-16 → 2020-10-20) |
| Created | 2020-10-16 |
| 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 | candidate, family children, seniors |
| Symbols | family, healthcare |
| Call to action | learn more |
| Standout element | Faded vintage family photo evoking personal grief and lived experience with Alzheimer's |
| Tactic | The ad uses personal family tragedy and archival imagery to build deep emotional empathy, positioning Warner as an authentic, mission-driven advocate for healthcare research rather than a political opportunist. |
Where it ran (delivery by region)
| Virginia | 100.0% |
Who saw it (delivery)
| 65+ · unknown | 0.1% |
| 35-44 · male | 4.3% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 4.5% |
| 65+ · female | 14.3% |
| 65+ · male | 4.8% |
| 35-44 · female | 6.1% |
| 45-54 · female | 5.4% |
| 25-34 · male | 8.6% |
| 25-34 · unknown | 0.1% |
| 18-24 · female | 15.6% |
| 25-34 · female | 16.4% |
| 18-24 · male | 6.5% |
| 18-24 · unknown | 0.1% |
| 55-64 · female | 9.4% |
| 35-44 · unknown | 0.1% |
| 45-54 · male | 3.5% |
| 45-54 · unknown | 0.0% |
