Jon Ossoff US Inactive
JON OSSOFF FOR SENATE
Help Jon Fight Back
Help Jon Fight Back
Ad copy
Ossoff for GA: If everyone reading this chipped in just $20 right now, we'd have the resources to respond to JD Vance and MAGA Super PACs' recent attacks. We're counting on supporters like you to stand with us and fight back. Can you rush a donation today?
Ossoff for GA: If everyone reading this chipped in just $20 right now, we'd have the resources to respond to JD Vance and MAGA Super PACs' recent attacks. We're counting on supporters like you to stand with us and fight back. Can you rush a donation today?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 59.0/100 |
| Spend / Reach / Long. / Eff. | 77.1 · 100.0 · 5.0 · 53.7 |
| Spend range | USD 60,000–69,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 65.0 |
| Est. audience size | — |
| Days live | 19 (2025-09-13 → 2025-10-02) |
| Created | 2025-09-12 |
| Creative variants | 2 body · 2 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 | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate speaking directly to camera in a lush garden setting, casual and approachable with rolled-up sleeves |
| Tactic | Classic small-dollar fundraising urgency tactic using a named opposition threat (JD Vance and MAGA Super PACs) to manufacture a defensive 'fight back' framing that lowers donation resistance. |
Where it ran (delivery by region)
| Georgia | 22.0% |
| California | 12.6% |
| New York | 7.0% |
| Florida | 5.2% |
| Texas | 4.0% |
| Massachusetts | 3.7% |
| Washington | 3.3% |
Who saw it (delivery)
| 18-24 · female | 2.3% |
| 45-54 · male | 6.8% |
| 65+ · male | 8.2% |
| 65+ · female | 17.7% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 7.7% |
| 55-64 · female | 11.6% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 10.0% |
| 18-24 · male | 1.6% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 7.5% |
| 35-44 · female | 10.3% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 6.1% |
| 25-34 · female | 8.9% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.3% |
