JON OSSOFF FOR SENATE
$100,000 NEEDED ASAP
GOOD NEWS: Democrat Jon Ossoff is neck and neck in recent polls, and Georgia’s Senate race is officially a TOSS-UP! BAD NEWS: Donald Trump, Mitch McConnell, and GOP mega-donors are dumping MILLIONS into this race to save their Senate majority. Jon’s campaign is not taking ANY corporate PAC contributions, so he’s relying on small-dollar grassroots donors (like you!) to power his fight against the GOP machine. But right now, we’re WAY behind on our monthly fundraising goal. We need to raise $100,000 by the end of the week to get back on track. Rush a $10 donation now to elect Democrat Jon Ossoff and help Democrats take back the Senate! >>
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 52.4/100 |
| Spend / Reach / Long. / Eff. | 53.9 · 88.7 · 5.5 · 61.4 |
| Spend range | USD 7,000–7,999 |
| Impressions | 300,000 – 349,999 |
| CPM (≈ $/1k impr) | USD 23.08 |
| Est. audience size | — |
| Days live | 21 (2020-10-01 → 2020-10-22) |
| Created | 2020-10-01 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | GA — Jon Ossoff |
| Surfaced by | “senate:Jon Ossoff” |
| Issue | democracy elections |
| Framing | informational |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Content-removed placeholder screen used as the ad image itself, creating meta-irony |
| Tactic | The ad uses urgency and underdog framing — toss-up polls, corporate PAC contrast, and a hard deadline — to drive small-dollar donations by positioning Ossoff as the grassroots fighter against well-funded Republican opposition. |
| Georgia | 100.0% |
| 18-24 · unknown | 0.0% |
| 65+ · female | 10.8% |
| 18-24 · female | 1.5% |
| 45-54 · unknown | 0.3% |
| 18-24 · male | 1.5% |
| 25-34 · unknown | 0.3% |
| 35-44 · male | 10.7% |
| 55-64 · female | 9.4% |
| 65+ · male | 7.7% |
| 35-44 · unknown | 0.3% |
| 35-44 · female | 10.6% |
| 55-64 · male | 8.3% |
| 45-54 · male | 10.3% |
| 25-34 · male | 9.1% |
| 45-54 · female | 10.4% |
| 25-34 · female | 8.3% |
| 65+ · unknown | 0.3% |
| 55-64 · unknown | 0.2% |