Jon Ossoff US Inactive
JON OSSOFF FOR SENATE
Jon Ossoff for U.S. Senate
Ad copy
FIRST: Cook Political Report named the 2026 Georgia Senate race a “TOSS-UP,” and said Jon Ossoff is the “most endangered incumbent” in the country. THEN: The Hill just named Jon Ossoff’s Senate seat as most likely to be flipped by Republicans in the midterms. NOW: We need to fight back ASAP. Jon is MAGA’s #1 target and will stop at nothing to flip this Senate seat. Can you rush a donation to help us fight back?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 57.3/100 |
| Spend / Reach / Long. / Eff. | 71.2 · 95.7 · 7.7 · 54.6 |
| Spend range | USD 35,000–39,999 |
| Impressions | 600,000 – 699,999 |
| CPM (≈ $/1k impr) | USD 57.69 |
| Est. audience size | — |
| Days live | 29 (2025-06-30 → 2025-07-29) |
| Created | 2025-06-30 |
| 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 | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate speaking directly to camera in casual outdoor setting with campaign button, mimicking authentic grassroots video appeal |
| Tactic | The FIRST/THEN/NOW urgency ladder uses third-party credibility (Cook Political Report, The Hill) to manufacture fear of loss and drive immediate donation response. |
Where it ran (delivery by region)
| California | 15.2% |
| Georgia | 14.8% |
| New York | 6.5% |
| Florida | 5.5% |
| Texas | 4.8% |
| Pennsylvania | 3.3% |
| Washington | 3.2% |
Who saw it (delivery)
| 18-24 · female | 1.0% |
| 45-54 · male | 3.4% |
| 65+ · male | 11.7% |
| 65+ · female | 38.8% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 6.4% |
| 55-64 · female | 16.4% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 7.9% |
| 18-24 · male | 1.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 2.7% |
| 35-44 · female | 4.7% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 2.1% |
| 25-34 · female | 2.7% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.6% |
