Dan Osborn for Senate US Inactive
Osborn for Senate
Deb Fischer is a RINO politician
Ad copy
Conservatives need to know these facts: Senator Fischer stabbed Trump in the back and has broken her promises. She promised to serve only two terms in the Senate, but broke her promise and is now running for a 3rd term. Three local county Republican Parties say Fischer broke her promise on deficit spending. She even voted against the Republican plan to secure the border.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 47.3/100 |
| Spend / Reach / Long. / Eff. | 46.5 · 80.0 · 2.5 · 60.2 |
| Spend range | USD 3,500–3,999 |
| Impressions | 125,000 – 149,999 |
| CPM (≈ $/1k impr) | USD 27.27 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 10 (2024-10-27 → 2024-11-06) |
| Created | 2024-10-27 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NE — Dan Osborn |
| Surfaced by | “senate:Dan Osborn” |
🧠 AI analysis
| Issue | immigration |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | border, us flag |
| Call to action | learn more |
| Standout element | Red X checkmarks next to damning border policy failures overlaid on Fischer's desaturated photo against a border wall backdrop |
| Tactic | The ad weaponizes conservative loyalty to Trump and border security to disqualify Fischer as a RINO, using red X marks and a border wall backdrop to visually brand her as a traitor to Republican values. |
Where it ran (delivery by region)
| Nebraska | 100.0% |
| Unknown | 0.0% |
Who saw it (delivery)
| 18-24 · female | 3.6% |
| 45-54 · male | 7.9% |
| 65+ · male | 8.3% |
| 65+ · female | 11.9% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 7.6% |
| 55-64 · female | 8.1% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 6.9% |
| 18-24 · male | 4.0% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 11.1% |
| 35-44 · female | 9.0% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 12.1% |
| 25-34 · female | 8.9% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.1% |
