JON OSSOFF FOR SENATE
Quick! Can you add your name and endorse my campaign for the U.S. Senate? National Republicans have already set up a fundraising committee to start raising money to try and beat us. To make things worse, Marjorie Taylor Greene has Donald Trump's endorsement to challenge me for the 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.
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| Overall score | 62.9/100 |
| Spend / Reach / Long. / Eff. | 71.2 · 100.0 · 22.6 · 57.8 |
| Spend range | USD 35,000–39,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 37.5 |
| Est. audience size | — |
| Days live | 83 (2024-11-22 → 2025-02-13) |
| Created | 2024-11-22 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | GA — Jon Ossoff |
| Surfaced by | “senate:Jon Ossoff” |
| 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 Ossoff speaking directly to camera against a bold red-and-white 'STOP MARJORIE TAYLOR GREENE' graphic with a Newsweek headline |
| Tactic | The ad uses a classic threat-framing urgency tactic — naming a high-profile, polarizing opponent (MTG) with Trump's backing to trigger fear and spur name-collection list-building action. |
| Georgia | 21.2% |
| California | 13.5% |
| New York | 6.6% |
| Florida | 5.2% |
| Texas | 4.8% |
| Illinois | 3.6% |
| Pennsylvania | 2.7% |
| 18-24 · female | 5.7% |
| 45-54 · male | 3.7% |
| 65+ · male | 5.5% |
| 65+ · female | 18.7% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 4.3% |
| 55-64 · female | 13.1% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 10.6% |
| 18-24 · male | 3.7% |
| 35-44 · unknown | 0.3% |
| 35-44 · male | 4.3% |
| 35-44 · female | 11.7% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 5.4% |
| 25-34 · female | 11.2% |
| 18-24 · unknown | 0.4% |
| 65+ · unknown | 0.5% |