Jon Ossoff US Inactive
JON OSSOFF FOR SENATE
Donate to Jon Ossoff
Help Jon to defend the Senate majority we won in Georgia
Ad copy
I’m the only Democratic Senator up for re-election in a state won by Donald Trump. That makes me MAGA’s #1 target. They will come after this Senate seat with hundreds of millions of dollars and every lie and dirty trick in the book. MAGA is committed to eliminating Democratic seats in Congress so Trump can continue his “revolution” without domestic opposition. I will fight and I will win. But I need you behind me. Will you contribute $5 or whatever you can to my campaign today? The fight is on. I need you in my corner.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 59.2/100 |
| Spend / Reach / Long. / Eff. | 86.9 · 100.0 · 3.0 · 46.8 |
| Spend range | USD 150,000–174,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 162.5 |
| Est. audience size | — |
| Days live | 12 (2025-03-19 → 2025-03-31) |
| Created | 2025-03-19 |
| 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 | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | professional |
| Who pictured | candidate, diverse crowd |
| Symbols | none |
| Call to action | donate |
| Standout element | Ossoff fist-bumping a Black community member mid-stride on an Atlanta street, projecting coalition energy and relatability |
| Tactic | The ad leverages underdog framing — 'MAGA's #1 target' — to convert perceived vulnerability into donor urgency, pairing fear-of-loss rhetoric with an optimistic, community-connected visual to drive small-dollar contributions. |
Where it ran (delivery by region)
| California | 15.0% |
| Georgia | 7.6% |
| New York | 6.6% |
| Florida | 6.1% |
| Texas | 5.7% |
| Illinois | 3.8% |
| Washington | 3.6% |
Who saw it (delivery)
| 18-24 · female | 0.8% |
| 45-54 · male | 7.5% |
| 65+ · male | 10.8% |
| 65+ · female | 20.2% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 8.5% |
| 55-64 · female | 14.4% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 11.4% |
| 18-24 · male | 1.0% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 6.7% |
| 35-44 · female | 9.4% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 3.8% |
| 25-34 · female | 4.2% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.4% |
