Mark Warner VA US Inactive
FRIENDS OF MARK WARNER
Reelect Mark Warner
Flip the Senate blue
Chip in now >>
Chip in now >>
Ad copy
I’m hoping you’ll chip in to my reelection campaign to protect this seat and take back the Senate for Democrats so we can finally put a check on this Trump administration’s chaos, corruption, and incompetence. Please, rush $5, $10, or whatever you can now.
I’m hoping you’ll chip in to my reelection campaign to protect this seat and take back the Senate for Democrats so we can finally put a check on this Trump administration’s chaos, corruption, and incompetence. Please, rush $5, $10, or whatever you can now.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 45.8/100 |
| Spend / Reach / Long. / Eff. | 41.0 · 70.7 · 14.3 · 57.1 |
| Spend range | USD 2,000–2,499 |
| Impressions | 50,000 – 59,999 |
| CPM (≈ $/1k impr) | USD 40.9 |
| Est. audience size | — |
| Days live | 53 (2026-04-06 → 2026-05-29) |
| Created | 2026-04-06 |
| 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 | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate speaking candidly from a car with seatbelt on, conveying authenticity and grassroots urgency |
| Tactic | Combines a manufactured deadline urgency tactic with populist anti-Trump rhetoric to drive small-dollar donations from the base. |
Where it ran (delivery by region)
| Virginia | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 3.9% |
| 65+ · male | 23.8% |
| 65+ · female | 37.8% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 8.6% |
| 55-64 · female | 13.3% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.1% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 2.0% |
| 35-44 · female | 2.2% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.9% |
| 25-34 · female | 0.9% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.8% |
