Jon Ossoff US Inactive
JON OSSOFF FOR SENATE
Donate to Jon Ossoff
Ad copy
Georgia Senate race update 🚨 Cook Political Report just officially named the 2026 Georgia Senate race a “TOSS-UP,” and said Jon Ossoff is the “most endangered incumbent” in the country. Marjorie Taylor Greene has Donald Trump's endorsement to challenge Jon for U.S. Senate in Georgia. And as the ONLY Democrat running for re-election from a state Trump won, Jon is the GOP’s #1 target. We need to fight back ASAP: Can you pitch in $10 to help us have the resources needed to fend off whatever MAGA throws our way?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 60.2/100 |
| Spend / Reach / Long. / Eff. | 80.0 · 100.0 · 9.1 · 51.7 |
| Spend range | USD 80,000–89,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 85.0 |
| Est. audience size | — |
| Days live | 34 (2025-02-14 → 2025-03-20) |
| Created | 2025-02-14 |
| 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 | Cook Political Report 'most endangered incumbent' citation used to create urgency and trigger defensive donor instinct |
| Tactic | Classic fear-based fundraising tactic pairing third-party credibility (Cook Political Report) with underdog framing to drive small-dollar donations from the base. |
Where it ran (delivery by region)
| California | 10.5% |
| Florida | 6.6% |
| New York | 6.0% |
| Georgia | 5.9% |
| Texas | 4.7% |
| Washington | 4.2% |
| Illinois | 4.0% |
Who saw it (delivery)
| 18-24 · female | 0.3% |
| 45-54 · male | 3.7% |
| 65+ · male | 14.5% |
| 65+ · female | 35.6% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 7.2% |
| 55-64 · female | 16.9% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 8.7% |
| 18-24 · male | 0.3% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 2.8% |
| 35-44 · female | 5.2% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.4% |
| 25-34 · female | 2.0% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.6% |
