Dan Osborn for Senate US Inactive
Osborn for Senate
What's On My Jacket
Ad copy
My name is Dan Osborn. I'm an independent labor leader running for Senate in Nebraska. I'm down only 1 point to Republican incumbent Deb Fischer! This could be the upset of the decade. Check out our NEW ad. 👇
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 51.8/100 |
| Spend / Reach / Long. / Eff. | 50.6 · 88.7 · 4.1 · 63.7 |
| Spend range | USD 5,000–5,999 |
| Impressions | 300,000 – 349,999 |
| CPM (≈ $/1k impr) | USD 16.92 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 16 (2024-09-24 → 2024-10-10) |
| Created | 2024-09-24 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NE — Dan Osborn |
| Surfaced by | “senate:Dan Osborn” |
🧠 AI analysis
| Issue | jobs labor |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate, opponent, workers labor |
| Symbols | money cash, factory industry |
| Call to action | learn more |
| Standout element | Opponent shown from behind wearing a jacket covered in corporate logos (Goldman Sachs, Facebook, Google, Northrop Grumman) with 'DC Politician Deb Fischer' label and arrow pointing at her |
| Tactic | The creative uses a visual metaphor — corporate logos literally branded on the opponent's back — to viscerally communicate pay-to-play corruption, contrasting the tattooed blue-collar candidate with the corporate-captured incumbent. |
Where it ran (delivery by region)
| Nebraska | 100.0% |
| Unknown | 0.0% |
Who saw it (delivery)
| 18-24 · female | 1.6% |
| 45-54 · male | 10.3% |
| 65+ · male | 5.6% |
| 65+ · female | 8.4% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 7.4% |
| 55-64 · female | 7.3% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 8.9% |
| 18-24 · male | 3.2% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 14.6% |
| 35-44 · female | 12.4% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 12.0% |
| 25-34 · female | 7.6% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.1% |
