Mark Warner VA US Inactive
FRIENDS OF MARK WARNER
Reelect Mark Warner
Reelect Mark Warner
Chip in before September 30 >>
Chip in before September 30 >>
Ad copy
I’m fighting like hell to hold Trump and his administration accountable, but if we want to contain this chaos and corruption, we need to flip the Senate blue. That starts with protecting this seat. Will you chip in to my reelection campaign before our end-of-quarter fundraising deadline so we can take back the Senate for Democrats?
I’m fighting like hell to hold Trump and his administration accountable, but if we want to contain this chaos and corruption, we need to flip the Senate blue. That starts with protecting this seat. Will you chip in to my reelection campaign before our end-of-quarter fundraising deadline so we can take back the Senate for Democrats?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 44.4/100 |
| Spend / Reach / Long. / Eff. | 47.8 · 73.9 · 1.1 · 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 | 5 (2025-10-01 → 2025-10-06) |
| Created | 2025-09-24 |
| 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 | none |
| Call to action | donate |
| Standout element | Candidate speaking directly to camera outdoors with emphatic hand gesture and Trump accountability caption burned in |
| Tactic | Urgency-driven end-of-quarter deadline fundraising appeal pairs a direct-to-camera accountability message against Trump with a hard deadline to drive immediate donation conversion. |
Where it ran (delivery by region)
| Virginia | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · male | 2.6% |
| 65+ · male | 17.1% |
| 65+ · female | 42.6% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 6.6% |
| 55-64 · female | 17.7% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 6.4% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 1.3% |
| 35-44 · female | 2.9% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.5% |
| 25-34 · female | 0.9% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.7% |
