Mark Warner VA US Inactive
FRIENDS OF MARK WARNER
Reelect Mark Warner
Reelect Mark Warner
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Ad copy
Trump had a meltdown in the Oval Office — and now his allied super PACs have their marching orders. I’m not worried about what he calls me, but I am worried about the flood of money coming our way. Can you chip in before midnight to help fight back?
Trump had a meltdown in the Oval Office — and now his allied super PACs have their marching orders. I’m not worried about what he calls me, but I am worried about the flood of money coming our way. Can you chip in before midnight to help fight back?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 43.3/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 70.7 · 6.3 · 61.5 |
| Spend range | USD 1,000–1,499 |
| Impressions | 50,000 – 59,999 |
| CPM (≈ $/1k impr) | USD 22.72 |
| Est. audience size | — |
| Days live | 24 (2025-10-23 → 2025-11-16) |
| 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 speaking directly to camera in casual blue shirt beside US flag, projecting calm defiance against a named opponent meltdown |
| Tactic | The ad uses a personal, confessional tone pairing Trump's 'meltdown' narrative with a midnight deadline to trigger urgency-driven small-dollar donations. |
Where it ran (delivery by region)
| Virginia | 100.0% |
Who saw it (delivery)
| 18-24 · female | 2.3% |
| 45-54 · male | 5.8% |
| 65+ · male | 14.3% |
| 65+ · female | 25.0% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 8.5% |
| 55-64 · female | 14.1% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 8.6% |
| 18-24 · male | 2.0% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 5.0% |
| 35-44 · female | 5.6% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 3.5% |
| 25-34 · female | 3.9% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.5% |
