Jon Ossoff US Inactive
JON OSSOFF FOR SENATE
Jon Needs Our Help
Ad copy
Check this out: A self-proclaimed “MAGA-Warrior” has entered the Georgia Senate race to challenge Jon Ossoff. This guy has already put in $2 MILLION of his own money and is planning to spend upwards of $10 MILLION to try and win Georgia for Donald Trump. And not just that, the Hill just came out with its long-awaited list of the five Senate seats most likely to flip to either party in the midterms and Jon’s seat here in Georgia was FIRST. Jon needs our help to stay in the Senate. He’s counting on our grassroots support to fight back against MAGA, so please click the link below and send him a donation today.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 58.3/100 |
| Spend / Reach / Long. / Eff. | 75.3 · 100.0 · 2.8 · 54.9 |
| Spend range | USD 50,000–59,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 55.0 |
| Est. audience size | — |
| Days live | 11 (2025-06-10 → 2025-06-21) |
| Created | 2025-06-10 |
| 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 | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Bold italic 'FIGHT BACK' on blue banner paired with candidate speaking directly to camera outdoors creating urgency |
| Tactic | The ad weaponizes large dollar figures ($2M, $10M) to manufacture financial threat urgency, compelling small-dollar donors to respond emotionally to the 'MAGA money' narrative. |
Where it ran (delivery by region)
| California | 14.4% |
| Georgia | 11.0% |
| Texas | 5.9% |
| Florida | 5.8% |
| New York | 5.4% |
| Washington | 4.0% |
| Illinois | 3.6% |
Who saw it (delivery)
| 18-24 · female | 2.6% |
| 45-54 · male | 6.6% |
| 65+ · male | 8.9% |
| 65+ · female | 14.6% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 7.4% |
| 55-64 · female | 10.5% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 9.1% |
| 18-24 · male | 2.8% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 8.2% |
| 35-44 · female | 11.0% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 8.2% |
| 25-34 · female | 8.7% |
| 18-24 · unknown | 0.2% |
| 65+ · unknown | 0.3% |
