Jon Ossoff US Inactive
JON OSSOFF FOR SENATE
Support Jon Ossoff
Ad copy
Can you do me a quick favor? I need you to add your name and endorse my campaign for the U.S. Senate. Marjorie Taylor Greene has Donald Trump's endorsement to challenge me for U.S. Senate in Georgia. This is an all-hands-on-deck moment for us. Marjorie Taylor Greene would be awful for the Senate and Georgia. It’s so important that we have you by our side to ensure that never happens. Thank you.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 59.2/100 |
| Spend / Reach / Long. / Eff. | 59.4 · 94.0 · 22.0 · 61.5 |
| Spend range | USD 10,000–14,999 |
| Impressions | 500,000 – 599,999 |
| CPM (≈ $/1k impr) | USD 22.73 |
| Est. audience size | — |
| Days live | 81 (2024-11-25 → 2025-02-14) |
| Created | 2024-11-25 |
| 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 | list building survey |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | candidate, opponent |
| Symbols | none |
| Call to action | sign petition |
| Standout element | Split-screen juxtaposing a calm Ossoff against a bold red 'STOP MARJORIE TAYLOR GREENE' card with a Newsweek headline and unflattering opponent photo |
| Tactic | Uses opponent-threat framing paired with a low-friction 'add your name' ask to convert fear of MTG into a list-building action and grassroots endorsement signal. |
Where it ran (delivery by region)
| Georgia | 45.6% |
| California | 7.3% |
| Florida | 4.4% |
| New York | 4.4% |
| Texas | 2.7% |
| Illinois | 2.5% |
| North Carolina | 2.2% |
Who saw it (delivery)
| 18-24 · female | 3.2% |
| 45-54 · male | 3.5% |
| 65+ · male | 8.6% |
| 65+ · female | 28.4% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 4.7% |
| 55-64 · female | 11.9% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 9.9% |
| 18-24 · male | 1.8% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 4.0% |
| 35-44 · female | 10.3% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 4.2% |
| 25-34 · female | 8.0% |
| 18-24 · unknown | 0.2% |
| 65+ · unknown | 0.5% |
