Jon Ossoff US Inactive
JON OSSOFF FOR SENATE
Donate to Jon Ossoff
Ad copy
Hey guys, it's Jon Ossoff. I just got back to Georgia from Washington, where President Trump is trying to consolidate power. He's purging anyone he suspects of disloyalty from the federal government, he's putting partisan loyalists in every office, he’s firing Inspectors General. It's a serious situation, and Donald Trump wants Marjorie Taylor Greene to challenge me for this U.S. Senate Seat in Georgia. So, if you believe that Marjorie Taylor Greene should never, and I mean never, become a United States Senator, please chip in what you can to support my campaign right now. Thank you so much.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 56.8/100 |
| Spend / Reach / Long. / Eff. | 72.5 · 97.1 · 3.0 · 54.7 |
| Spend range | USD 40,000–44,999 |
| Impressions | 700,000 – 799,999 |
| CPM (≈ $/1k impr) | USD 56.67 |
| Est. audience size | — |
| Days live | 12 (2025-03-20 → 2025-04-01) |
| Created | 2025-03-20 |
| 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 | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Selfie-style car video creating an intimate, unfiltered direct-to-camera confession of urgency |
| Tactic | The DIY authenticity of a selfie video from a car, combined with Ossoff's first-person urgent warning about Trump and Greene, creates a sense of immediate personal crisis designed to trigger fear-based small-dollar donations. |
Where it ran (delivery by region)
| California | 13.1% |
| Georgia | 10.8% |
| New York | 6.4% |
| Florida | 6.0% |
| Texas | 4.4% |
| Washington | 4.0% |
| Illinois | 3.6% |
Who saw it (delivery)
| 18-24 · female | 0.7% |
| 45-54 · male | 4.5% |
| 65+ · male | 8.1% |
| 65+ · female | 28.8% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 6.0% |
| 55-64 · female | 18.3% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 11.5% |
| 18-24 · male | 0.5% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 4.2% |
| 35-44 · female | 9.2% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 2.8% |
| 25-34 · female | 4.2% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.4% |
