Mark Warner VA US Inactive
FRIENDS OF MARK WARNER
Re-elect Mark Warner
Re-elect Mark Warner
Ad copy
I am doing everything in my power to stop Trump and his unelected co-president from overhauling the federal government so they can enrich themselves and leave Americans in the dust. But that makes me one of their top targets. Please, if you can, pitch in to help me fight back >>
I am doing everything in my power to stop Trump and his unelected co-president from overhauling the federal government so they can enrich themselves and leave Americans in the dust. But that makes me one of their top targets. Please, if you can, pitch in to help me fight back >>
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 40.7/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 65.4 · 5.0 · 57.6 |
| Spend range | USD 1,000–1,499 |
| Impressions | 30,000 – 34,999 |
| CPM (≈ $/1k impr) | USD 38.45 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 19 (2025-04-10 → 2025-04-29) |
| Created | 2025-04-10 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | VA — Mark Warner |
| Surfaced by | “senate:Mark Warner” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | attack opponent |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Simulated text-message bubble framing the attack on DOGE as a personal, urgent conversation |
| Tactic | Uses an intimate text-message aesthetic and a low $5 ask to convert anti-DOGE anger into immediate small-dollar donations. |
Where it ran (delivery by region)
| Virginia | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.0% |
| 45-54 · male | 2.3% |
| 65+ · male | 19.7% |
| 65+ · female | 44.1% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 6.8% |
| 55-64 · female | 17.0% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.5% |
| 18-24 · male | 0.0% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 0.9% |
| 35-44 · female | 1.8% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.3% |
| 25-34 · female | 0.4% |
| 65+ · unknown | 0.7% |
