Mark Warner VA US Inactive
FRIENDS OF MARK WARNER
Flip the Senate blue
Flip the Senate blue
Donate to reelect Mark Warner
Donate to reelect Mark Warner
Ad copy
Next year, this Senate seat – and along with it, control of the Senate – is on the line. Your donation today will allow us to plan for critical investments down the line so we can build a campaign infrastructure that can fight back and win. Please, chip in $5, $10, or whatever you can to take back the Senate for Democrats.
Today -- not next month, not next year -- is when your donation will have the biggest impact. Please, chip in $5, $10, or whatever you can to take back the Senate for Democrats and keep Virginia blue.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 41.7/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 50.6 · 40.2 · 58.7 |
| Spend range | USD 200–299 |
| Impressions | 7,000 – 7,999 |
| CPM (≈ $/1k impr) | USD 33.27 |
| Est. audience size | — |
| Days live | 147 (2025-12-17 → 2026-05-13) |
| Created | 2025-12-16 |
| 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 | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate speaking directly to camera outdoors with urgency-driven lower-third caption text mid-sentence |
| Tactic | Classic urgency-and-stakes fundraising tactic — framing the donation window as a now-or-never moment tied to Senate majority control to maximize immediate conversion. |
Where it ran (delivery by region)
| Virginia | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 18-24 · male | 0.2% |
| 25-34 · female | 0.6% |
| 25-34 · male | 1.3% |
| 35-44 · female | 1.0% |
| 35-44 · male | 2.3% |
| 35-44 · unknown | 0.0% |
| 45-54 · female | 3.1% |
| 45-54 · male | 4.1% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 9.1% |
| 55-64 · male | 9.4% |
| 55-64 · unknown | 0.2% |
| 65+ · female | 36.3% |
| 65+ · male | 31.4% |
| 65+ · unknown | 0.9% |
