Jon Ossoff US Inactive
JON OSSOFF FOR SENATE
MAGA’s #1 Target
Ad copy
Not the news we were hoping to share...but recent polling shows Jon is statistically tied with his MAGA extremist opponent. Can you rush a donation and help Jon fight back? Republicans and their Super PACs have already spent more than $10 million here in Georgia. With this race neck-and-neck, attacks are only going to pick up. Republicans will use every dirty trick they can to try and take down Jon and flip his Senate seat. We need your help to fight back and stop a MAGA takeover in Georgia. Can you rush a donation so Jon has the resources to fight back and win decisively in November?
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Performance proxies
| Overall score | 60.0/100 |
| Spend / Reach / Long. / Eff. | 90.4 · 100.0 · 5.0 · 44.4 |
| Spend range | USD 200,000–249,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 225.0 |
| Est. audience size | — |
| Days live | 19 (2026-01-19 → 2026-02-07) |
| Created | 2026-01-15 |
| 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 | Selfie-style direct-to-camera video frame creating an intimate, urgent personal appeal |
| Tactic | Uses a classic fundraising fear-and-urgency formula — citing a close poll, massive GOP spending, and labeling Ossoff 'MAGA's #1 Target' to trigger defensive donor response. |
Where it ran (delivery by region)
| Georgia | 16.4% |
| California | 14.7% |
| New York | 8.4% |
| Florida | 4.7% |
| Texas | 3.9% |
| Illinois | 3.7% |
| Massachusetts | 3.6% |
Who saw it (delivery)
| 18-24 · female | 5.5% |
| 45-54 · unknown | 0.2% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.2% |
| 65+ · male | 5.5% |
| 65+ · female | 14.3% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 4.4% |
| 55-64 · female | 10.8% |
| 45-54 · male | 4.2% |
| 18-24 · male | 1.9% |
| 45-54 · female | 11.6% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 5.4% |
| 35-44 · female | 15.4% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 5.1% |
| 25-34 · female | 14.7% |
| 18-24 · unknown | 0.1% |
| Unknown · male | 0.0% |
