Jon Ossoff US Inactive
JON OSSOFF FOR SENATE
Donate to Jon Ossoff
Ad copy
It’s Jon. Marjorie Taylor Greene just said –– again –– that she may run to unseat me in the U.S. Senate. MTG will have the entire MAGA movement behind her –– Donald Trump, election deniers, and billionaire-backed Super PACs ready to spend whatever it takes to buy this seat and hand Trump a rubber stamp in the Senate. Make no mistake: They want absolute power. They want to crush the opposition. They want to clear the path for Trump’s total takeover. But I will fight and I will win. I just need you behind me. So please, rush $5 or whatever you can to my re-election campaign in Georgia. Thanks for having my back. Jon
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 58.9/100 |
| Spend / Reach / Long. / Eff. | 85.1 · 100.0 · 2.5 · 48.1 |
| Spend range | USD 125,000–149,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 137.5 |
| Est. audience size | — |
| Days live | 10 (2025-02-11 → 2025-02-21) |
| Created | 2025-02-11 |
| 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 | contrast comparison |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | candidate, opponent |
| Symbols | money cash |
| Call to action | donate |
| Standout element | Split-screen pairing Ossoff's direct-to-camera video with a bold 'STOP MARJORIE TAYLOR GREENE' graphic and a Newsweek headline screenshot of MTG |
| Tactic | Urgency-and-threat fundraising tactic using a named villain (MTG) and borrowed Newsweek credibility to trigger fear-based donor activation with a hard 'DONATE NOW' CTA. |
Where it ran (delivery by region)
| California | 15.5% |
| New York | 7.9% |
| Georgia | 6.8% |
| Florida | 5.2% |
| Texas | 4.5% |
| Washington | 4.1% |
| Illinois | 3.8% |
Who saw it (delivery)
| 18-24 · female | 0.9% |
| 45-54 · male | 3.0% |
| 65+ · male | 7.7% |
| 65+ · female | 31.3% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 4.8% |
| 55-64 · female | 20.0% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 12.4% |
| 18-24 · male | 0.6% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 2.6% |
| 35-44 · female | 9.0% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.9% |
| 25-34 · female | 4.7% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.5% |
