Dan Osborn for Senate US Inactive
Osborn for Senate
Ad copy
Right to Repair, the movement to allow consumers — including farmers — to fix their own equipment, ensures fair access to parts and tools for repairs. By fighting Right to Repair, these manufacturers are hurting farmers, and in the process, costing us all more at the store. Turns out though it's also bad for our military. I'm not sure I've ever seen a headline scream louder for the need to get corporate money out of politics. These lobbyists are putting profits over our debt, and even our national security. This has to end. https://www.404media.co/appliance-and-tractor-companies-lobby-against-giving-the-military-the-right-to-repair/
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 46.5/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 78.0 · 6.6 · 66.9 |
| Spend range | USD 1,000–1,499 |
| Impressions | 100,000 – 124,999 |
| CPM (≈ $/1k impr) | USD 11.11 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 25 (2024-09-01 → 2024-09-26) |
| Created | 2024-09-01 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NE — Dan Osborn |
| Surfaced by | “senate:Dan Osborn” |
🧠 AI analysis
| Issue | jobs labor |
| Framing | issue advocacy |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | military, farm rural, money cash |
| Call to action | none |
| Standout element | stark white bold text on pure black background quoting a damning news headline about corporate lobbying against military repair rights |
| Tactic | The ad uses a news headline as a credibility anchor to pivot a consumer/farmer issue into a national security argument, broadening the coalition of voters who should feel outraged by corporate lobbying. |
Where it ran (delivery by region)
| Nebraska | 100.0% |
Who saw it (delivery)
| 45-54 · unknown | 0.1% |
| 55-64 · male | 11.2% |
| 25-34 · female | 3.4% |
| 18-24 · unknown | 0.2% |
| 45-54 · female | 3.5% |
| 18-24 · female | 2.1% |
| 35-44 · male | 12.7% |
| 18-24 · male | 5.6% |
| 65+ · male | 13.9% |
| 55-64 · unknown | 0.1% |
| 65+ · female | 12.0% |
| 25-34 · male | 15.0% |
| 45-54 · male | 10.7% |
| 55-64 · female | 5.5% |
| 25-34 · unknown | 0.3% |
| 65+ · unknown | 0.2% |
| 35-44 · female | 3.5% |
| 35-44 · unknown | 0.2% |
