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 before our end End-of-month deadline>>
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 before our end End-of-month deadline>>
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 43.3/100 |
| Spend / Reach / Long. / Eff. | 47.8 · 70.7 · 2.2 · 52.4 |
| Spend range | USD 4,000–4,499 |
| Impressions | 50,000 – 59,999 |
| CPM (≈ $/1k impr) | USD 77.26 |
| Est. audience size | — |
| Days live | 9 (2025-10-23 → 2025-11-01) |
| Created | 2025-10-23 |
| 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 | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | us flag |
| Call to action | donate |
| Standout element | Candidate in casual blue shirt speaking directly to camera with US flag, projecting earnest urgency |
| Tactic | Classic fundraising fear-and-urgency tactic framing Warner as a targeted defender against Trump and Musk, with an end-of-month deadline to drive immediate donation conversion. |
Where it ran (delivery by region)
| California | 14.0% |
| New York | 7.4% |
| Florida | 5.9% |
| Pennsylvania | 4.7% |
| Texas | 4.4% |
| North Carolina | 4.0% |
| Massachusetts | 3.9% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · male | 2.1% |
| 65+ · male | 28.1% |
| 65+ · female | 46.5% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 7.5% |
| 55-64 · female | 9.0% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 2.2% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 0.9% |
| 35-44 · female | 1.0% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.6% |
| 25-34 · female | 0.8% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.8% |
