Jon Ossoff US Inactive
JON OSSOFF FOR SENATE
Keep Up The Momentum: Donate To Defeat Perdue
$20,000 Midnight Goal
Ad copy
🚨 BREAKING: Democrat Jon Ossoff LEADING Republican David Perdue in a new Georgia Senate poll! Don’t forget: David Perdue is the Republican Senator who bought and sold stocks after the Senate had received a classified briefing in an apparent attempt to profit from Coronavirus! We can defeat corrupt David Perdue, but we have to keep up our momentum now more than ever. It’s critical that we raise another $20,000 TODAY so we can WIN this race. We can do this → donate now to defeat David Perdue!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 61.8/100 |
| Spend / Reach / Long. / Eff. | 55.2 · 97.1 · 28.1 · 66.7 |
| Spend range | USD 8,000–8,999 |
| Impressions | 700,000 – 799,999 |
| CPM (≈ $/1k impr) | USD 11.33 |
| Est. audience size | — |
| Days live | 103 (2020-03-26 → 2020-07-07) |
| Created | 2020-03-26 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | GA — Jon Ossoff |
| Surfaced by | “senate:Jon Ossoff” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | attack opponent |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | money cash |
| Call to action | donate |
| Standout element | Facebook content-removed placeholder replacing the actual ad creative |
| Tactic | The ad uses a breaking poll result and a corruption allegation (insider trading during COVID briefings) as a one-two urgency punch to drive an immediate $20,000 fundraising goal, classic momentum-framing fundraising. |
Where it ran (delivery by region)
| Georgia | 100.0% |
Who saw it (delivery)
| 18-24 · unknown | 0.1% |
| 55-64 · male | 7.0% |
| 45-54 · unknown | 0.2% |
| 65+ · unknown | 0.2% |
| 55-64 · unknown | 0.2% |
| 18-24 · male | 1.9% |
| 18-24 · female | 2.4% |
| 25-34 · male | 9.1% |
| 35-44 · unknown | 0.3% |
| 65+ · male | 7.0% |
| 25-34 · female | 11.8% |
| 45-54 · male | 8.5% |
| 65+ · female | 10.2% |
| 55-64 · female | 8.9% |
| 45-54 · female | 10.5% |
| 35-44 · female | 12.0% |
| 35-44 · male | 9.4% |
| 25-34 · unknown | 0.4% |
