JON OSSOFF FOR SENATE
As you read this, Jon Ossoff is getting absolutely pummeled by attack ads in Georgia. Republicans have spent more than $10 million on TV and online ads already. It’s ridiculous. Why so much money, this far from Election Day? Because Jon Ossoff is the only Democratic Senator running for reelection in a state won by Trump, that’s why Republicans are hitting him so hard, so early in the campaign. And it’s why we’re coming to you with this request to help fight back. If Jon is going to defend this seat, we really need to keep hitting our fundraising goals, and donations are a huge part of how it happens. Can Jon Ossoff count on you to contribute $5, $25 or whatever you can afford to help him lay the foundation for a winning Senate reelection campaign here in Georgia?
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 57.7/100 |
| Spend / Reach / Long. / Eff. | 75.3 · 99.5 · 1.4 · 54.6 |
| Spend range | USD 50,000–59,999 |
| Impressions | 900,000 – 999,999 |
| CPM (≈ $/1k impr) | USD 57.89 |
| Est. audience size | — |
| Days live | 6 (2025-10-17 → 2025-10-23) |
| Created | 2025-10-17 |
| Creative variants | 1 body · 1 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 | diy amateur |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Casual selfie-style video from a young staffer named Parker creating an intimate, grassroots authenticity signal |
| Tactic | The ad uses an underdog framing — 'pummeled by $10M in attack ads' — to trigger reactive donor urgency, leveraging asymmetric spending as a fundraising hook rather than a policy message. |
| Georgia | 16.9% |
| California | 14.3% |
| New York | 6.9% |
| Florida | 4.9% |
| Texas | 4.5% |
| Illinois | 3.6% |
| Washington | 3.4% |
| 18-24 · female | 0.6% |
| 45-54 · male | 5.6% |
| 65+ · male | 13.9% |
| 65+ · female | 30.3% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 9.1% |
| 55-64 · female | 15.3% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 8.8% |
| 18-24 · male | 0.7% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 4.1% |
| 35-44 · female | 5.0% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 2.6% |
| 25-34 · female | 2.8% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.5% |