Jon Ossoff US Inactive
JON OSSOFF FOR SENATE
Donate to Jon Ossoff
Ad copy
Is there anything we can say to convince you to donate to Jon Ossoff's campaign? Jon is MAGAs #1 target. He's the only Democratic Senator up for reelection in a state that Trump won. National Republicans have already started running misleading ads against Jon. This is only the beginning. Jon is ready to fight back, but he is going to need our help. We won this seat by building the largest grassroots movement that Georgia had ever seen. That’s what we must do once again. And that’s why we need your help. So if you’re with us, please chip into Jon's reelection campaign today.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 58.0/100 |
| Spend / Reach / Long. / Eff. | 75.3 · 100.0 · 1.9 · 54.9 |
| Spend range | USD 50,000–59,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 55.0 |
| Est. audience size | — |
| Days live | 8 (2025-03-24 → 2025-04-01) |
| Created | 2025-03-24 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | GA — Jon Ossoff |
| Surfaced by | “senate:Jon Ossoff” |
🧠 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 | Raphael Warnock appearing alongside Ossoff as an implicit endorsement, lending peer credibility from a fellow Georgia Democratic senator |
| Tactic | The ad uses an underdog-under-siege frame — 'MAGA's #1 target' — combined with a grassroots nostalgia appeal to trigger urgency and donor identity, driving ActBlue donations. |
Where it ran (delivery by region)
| California | 12.9% |
| Georgia | 8.2% |
| New York | 6.4% |
| Florida | 5.9% |
| Texas | 4.6% |
| Washington | 4.1% |
| Illinois | 3.8% |
Who saw it (delivery)
| 18-24 · female | 0.4% |
| 45-54 · male | 3.5% |
| 65+ · male | 11.8% |
| 65+ · female | 37.4% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 5.9% |
| 55-64 · female | 17.8% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 8.9% |
| 18-24 · male | 0.4% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 2.9% |
| 35-44 · female | 5.6% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.8% |
| 25-34 · female | 2.3% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.6% |
