Mark Warner VA US Inactive
FRIENDS OF MARK WARNER
Flip the House blue
Flip the House blue
Contribute to elect Democrats in Virginia.
Contribute to elect Democrats in Virginia.
Ad copy
Democrats could flip as many as FIVE congressional seats in Virginia. Contribute right now to our fight to take back the House.
Democrats could flip as many as FIVE congressional seats in Virginia. Contribute right now to our fight to take back the House.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 41.5/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 65.4 · 8.3 · 57.6 |
| Spend range | USD 1,000–1,499 |
| Impressions | 30,000 – 34,999 |
| CPM (≈ $/1k impr) | USD 38.45 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 31 (2025-08-25 → 2025-09-25) |
| Created | 2025-08-25 |
| 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 | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Screenshot of a personal email or message with a highlighted yellow call-to-action sentence, creating an intimate insider feel |
| Tactic | The ad uses a fabricated-authentic email screenshot format to make the fundraising ask feel urgent and personal, leveraging the threat of Republican gerrymandering in Texas to motivate Virginia donors to act immediately. |
Where it ran (delivery by region)
| Virginia | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 4.3% |
| 65+ · male | 15.9% |
| 65+ · female | 38.6% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 7.7% |
| 55-64 · female | 16.5% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 7.6% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 2.7% |
| 35-44 · female | 3.6% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.8% |
| 25-34 · female | 0.7% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.8% |
