Mark Warner VA US Inactive
FRIENDS OF MARK WARNER
Reelect Mark Warner
Reelect Mark Warner
Chip in to flip the Senate >>
Chip in to flip the Senate >>
Ad copy
If I'm a "sleazebag" for fighting like hell to hold Trump accountable, then so be it. If we want to contain his chaos and corruption, we need to flip the Senate blue, which starts with protecting my seat. Donate $5 or $10 today so we can take back the Senate for Democrats.
If I'm a "sleazebag" for fighting like hell to hold Trump accountable, then so be it. If we want to contain his chaos and corruption, we need to flip the Senate blue, which starts with protecting my seat. Donate $5 or $10 today so we can take back the Senate for Democrats.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 45.4/100 |
| Spend / Reach / Long. / Eff. | 47.8 · 73.9 · 5.2 · 54.7 |
| Spend range | USD 4,000–4,499 |
| Impressions | 70,000 – 79,999 |
| CPM (≈ $/1k impr) | USD 56.66 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 20 (2025-08-14 → 2025-09-03) |
| Created | 2025-08-14 |
| 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 | anger |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Bold yellow quotation marks around 'SLEAZEBAG' on a dark banner against deep red texture, weaponizing Trump's own insult |
| Tactic | Judo-flip persuasion tactic turns an opponent's attack into a fundraising badge of honor, transforming a negative label into proof of the candidate's fighting credentials to motivate small-dollar donations. |
Where it ran (delivery by region)
| Virginia | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 2.2% |
| 65+ · male | 20.5% |
| 65+ · female | 46.0% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 6.6% |
| 55-64 · female | 14.6% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.8% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 1.2% |
| 35-44 · female | 1.8% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.5% |
| 25-34 · female | 0.6% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.8% |
