FRIENDS OF MARK WARNER
Donate before Oct 31 >>
Donate before Oct 31 >>
It’s former Senator Jon Tester here. My friend and Virginia’s senior Senator, Mark Warner, has been the target of an online smear campaign from right-wing conspiracy theorist and 9/11-denier Laura Loomer. Please join me and help Mark Warner fight back with a donation to his reelection campaign today.
It’s former Senator Jon Tester here. My friend and Virginia’s senior Senator, Mark Warner, has been the target of an online smear campaign from right-wing conspiracy theorist and 9/11-denier Laura Loomer. Please join me and help Mark Warner fight back with a donation to his reelection campaign today.
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 42.5/100 |
| Spend / Reach / Long. / Eff. | 47.8 · 68.1 · 3.6 · 50.5 |
| Spend range | USD 4,000–4,499 |
| Impressions | 40,000 – 44,999 |
| CPM (≈ $/1k impr) | USD 99.99 |
| Est. audience size | — |
| Days live | 14 (2025-10-08 → 2025-10-22) |
| Created | 2025-10-08 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | VA — Mark Warner |
| Surfaced by | “senate:Mark Warner” |
| 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 | Casual home-office video endorsement from Jon Tester lending peer credibility to the fundraising ask |
| Tactic | The ad leverages a trusted third-party surrogate (Jon Tester) to frame the donation as a defensive act against an extreme opponent, triggering urgency and solidarity rather than a direct policy pitch. |
| California | 12.5% |
| New York | 8.6% |
| Florida | 5.7% |
| Pennsylvania | 5.6% |
| Maryland | 5.1% |
| North Carolina | 4.9% |
| New Jersey | 4.5% |
| 18-24 · female | 0.1% |
| 45-54 · male | 0.9% |
| 65+ · male | 30.7% |
| 65+ · female | 52.8% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 4.9% |
| 55-64 · female | 6.0% |
| 45-54 · unknown | 0.0% |
| 45-54 · female | 1.1% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 0.4% |
| 35-44 · female | 0.6% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.4% |
| 25-34 · female | 0.7% |
| 65+ · unknown | 1.0% |