JON OSSOFF FOR SENATE
Donate To Democrat Jon Ossoff →
My Republican opponent, Senator David Perdue, is taking MILLIONS of dollars from corporate PACs to try to defeat me in the Georgia Senate race. In fact, he’s already been caught by the FEC taking ILLEGAL amounts of corporate PAC money!! I’m not taking a single contribution from corporate PACs. Instead, our Democratic campaign is funded by thousands of supporters like you, chipping in a couple of bucks at a time. Donate whatever you can afford, and together we’ll root out the corruption in our politics and win back the U.S. Senate.
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 59.2/100 |
| Spend / Reach / Long. / Eff. | 59.4 · 90.1 · 28.7 · 58.7 |
| Spend range | USD 10,000–14,999 |
| Impressions | 350,000 – 399,999 |
| CPM (≈ $/1k impr) | USD 33.33 |
| Est. audience size | — |
| Days live | 105 (2020-03-24 → 2020-07-07) |
| Created | 2020-03-24 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | GA — Jon Ossoff |
| Surfaced by | “senate:Jon Ossoff” |
| Issue | democracy elections |
| Framing | attack opponent |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | money cash |
| Call to action | donate |
| Standout element | Facebook policy removal notice obscuring the ad content, creating ironic transparency about the ad's existence |
| Tactic | The ad leverages populist anti-corruption framing by contrasting Ossoff's small-dollar grassroots funding against Perdue's alleged illegal corporate PAC money, using urgency and moral outrage to drive donations. |
| California | 21.2% |
| New York | 9.5% |
| Florida | 6.3% |
| Washington | 4.9% |
| Texas | 4.7% |
| Massachusetts | 4.6% |
| Illinois | 3.5% |
| 35-44 · male | 5.2% |
| 18-24 · male | 0.4% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.7% |
| 45-54 · unknown | 0.2% |
| 18-24 · female | 0.2% |
| 55-64 · unknown | 0.4% |
| 35-44 · unknown | 0.2% |
| 25-34 · male | 2.5% |
| 55-64 · male | 12.8% |
| 35-44 · female | 3.9% |
| 45-54 · female | 7.6% |
| 25-34 · female | 1.5% |
| 65+ · female | 23.0% |
| 55-64 · female | 15.1% |
| 45-54 · male | 8.3% |
| 65+ · male | 17.8% |
| 25-34 · unknown | 0.1% |