Jon Ossoff US Inactive
JON OSSOFF FOR SENATE
Donate to Jon Ossoff
Ad copy
FIRST: Donald Trump endorsed Marjorie Taylor Greene to run against Jon Ossoff and said that he'd "fight like hell" for her if she ran. THEN: MTG is taking a victory lap saying she delivered Georgia for Trump. NOW: Republicans have already set up a fundraising committee to raise money to defeat Jon. We have to be sure to have the resources needed to fight back to ensure MTG never becomes a Senator.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 56.9/100 |
| Spend / Reach / Long. / Eff. | 73.7 · 97.1 · 3.0 · 53.9 |
| Spend range | USD 45,000–49,999 |
| Impressions | 700,000 – 799,999 |
| CPM (≈ $/1k impr) | USD 63.33 |
| Est. audience size | — |
| Days live | 12 (2025-03-20 → 2025-04-01) |
| Created | 2025-03-20 |
| 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 | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Bold blue DONATE NOW>> banner anchoring the bottom of the video frame creates hard urgency contrast against the casual candidate video |
| Tactic | The FIRST/THEN/NOW narrative structure builds escalating threat to manufacture urgency and drive immediate donations by framing MTG and Trump as an existential electoral threat requiring immediate financial response. |
Where it ran (delivery by region)
| California | 15.4% |
| Florida | 6.6% |
| New York | 6.6% |
| Georgia | 6.1% |
| Texas | 5.5% |
| Illinois | 3.8% |
| Washington | 3.7% |
Who saw it (delivery)
| 18-24 · female | 0.8% |
| 45-54 · male | 6.4% |
| 65+ · male | 11.7% |
| 65+ · female | 24.6% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 8.1% |
| 55-64 · female | 15.5% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 10.2% |
| 18-24 · male | 1.0% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 5.4% |
| 35-44 · female | 8.1% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 3.3% |
| 25-34 · female | 3.8% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.4% |
