Jon Ossoff US Inactive
JON OSSOFF FOR SENATE
Keep Mitch McConnell On Defense -- DONATE NOW!
PLEASE Chip In Today!
Ad copy
Just days after David Perdue was caught doctoring my nose in one of his ads *AND* polling showed a margin-of-error race, Mitch McConnell decided to throw in another $6.6M to save my opponent’s campaign. Republicans are terrified -- they know Democrat Jon Ossoff has the momentum to WIN and help take back the Senate for Democrats. But we can’t slow down now, or McConnell and his network of shady dark money groups will drown out our campaign. We set an ambitious rapid response fundraising goal of $200,000 to keep McConnell and his Republicans on defense. Chip in $10 NOW! →
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 56.6/100 |
| Spend / Reach / Long. / Eff. | 67.8 · 94.0 · 8.8 · 55.6 |
| Spend range | USD 25,000–29,999 |
| Impressions | 500,000 – 599,999 |
| CPM (≈ $/1k impr) | USD 50.0 |
| Est. audience size | — |
| Days live | 33 (2020-10-01 → 2020-11-03) |
| Created | 2020-10-01 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | GA — Jon Ossoff |
| Surfaced by | “senate:Jon Ossoff” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | attack opponent |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Removed content notice replacing actual ad creative, signaling platform enforcement tension |
| Tactic | The copy leverages outrage over a documented attack ad manipulation (doctored nose) combined with a dark-money threat narrative to drive urgent small-dollar donations. |
Where it ran (delivery by region)
| California | 20.5% |
| New York | 9.8% |
| Florida | 5.8% |
| Texas | 5.1% |
| Massachusetts | 4.7% |
| Washington | 4.1% |
| Illinois | 4.0% |
Who saw it (delivery)
| 25-34 · unknown | 0.1% |
| 35-44 · male | 4.4% |
| 35-44 · unknown | 0.2% |
| 18-24 · unknown | 0.0% |
| 18-24 · female | 0.2% |
| 45-54 · male | 7.2% |
| 65+ · unknown | 0.5% |
| 55-64 · male | 11.4% |
| 25-34 · female | 1.5% |
| 45-54 · unknown | 0.2% |
| 65+ · male | 13.7% |
| 35-44 · female | 5.3% |
| 65+ · female | 23.5% |
| 55-64 · female | 18.4% |
| 45-54 · female | 10.8% |
| 25-34 · male | 1.8% |
| 55-64 · unknown | 0.4% |
| 18-24 · male | 0.2% |
