JON OSSOFF FOR SENATE
Calling All Democrats! JD Vance personally attacked Jon Ossoff at his recent event in Georgia. But Vance isn’t the only one coming after Jon, as the main Super PAC for Senate Republicans just launched a new round of attack ads against him. Can you rush a donation to our campaign to help Jon fight back and set the record straight? We can’t afford to let these attacks go unanswered.
Calling All Democrats! JD Vance personally attacked Jon Ossoff at his recent event in Georgia. But Vance isn’t the only one coming after Jon, as the main Super PAC for Senate Republicans just launched a new round of attack ads against him. Can you rush a donation to our campaign to help Jon fight back and set the record straight? We can’t afford to let these attacks go unanswered.
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 60.3/100 |
| Spend / Reach / Long. / Eff. | 88.4 · 100.0 · 7.2 · 45.8 |
| Spend range | USD 175,000–199,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 187.5 |
| Est. audience size | — |
| Days live | 27 (2025-08-27 → 2025-09-23) |
| Created | 2025-08-27 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | GA — Jon Ossoff |
| Surfaced by | “senate:Jon Ossoff” |
| 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 | Candidate speaking directly to camera outdoors with bold subtitle text referencing Trump's win, creating an urgency-driven fundraising moment |
| Tactic | The ad uses a threat-and-respond fundraising tactic — naming Vance and Republican Super PACs as aggressors to activate base donors through fear and urgency to 'fight back.' |
| California | 15.4% |
| Georgia | 11.4% |
| New York | 7.8% |
| Florida | 4.7% |
| Texas | 4.5% |
| Massachusetts | 4.0% |
| Illinois | 3.8% |
| 18-24 · female | 1.4% |
| 45-54 · male | 6.2% |
| 65+ · male | 9.9% |
| 65+ · female | 23.8% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 7.4% |
| 55-64 · female | 13.9% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 10.7% |
| 18-24 · male | 1.1% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 5.3% |
| 35-44 · female | 9.0% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 4.0% |
| 25-34 · female | 6.3% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.5% |