Brian Bengs for U.S. Senate US Inactive
Brian Bengs for Senate
⚠ Creative removed by Meta
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
Ad copy
No one should have to choose between life-saving medication and putting food on the table for their families. It’s unacceptable that Big Pharma executives, with John Thune’s support, are making billions by price gouging us. We must get these drug prices under control.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 28.3/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 45.5 · 0.8 · 67.0 |
| Spend range | <USD 99 |
| Impressions | 4,000 – 4,999 |
| CPM (≈ $/1k impr) | USD 11.0 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 4 (2022-10-20 → 2022-10-24) |
| Created | 2022-10-19 |
| Creative variants | 1 body · 0 headline |
| Platforms | |
| Languages | en |
| Candidate | SD — Brian Bengs |
| Surfaced by | “senate:Brian Bengs” |
🧠 AI analysis
| Issue | healthcare |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | none |
| Standout element | Facebook content-removal notice ironically serving as the ad image itself |
| Tactic | The ad leverages populist anger by framing Big Pharma price gouging as a personal hardship enabled by the incumbent opponent, using an emotional 'life vs. food' tradeoff to drive outrage and contrast. |
Where it ran (delivery by region)
| South Dakota | 99.9% |
| Nebraska | 0.1% |
| Minnesota | 0.0% |
| North Dakota | 0.0% |
Who saw it (delivery)
| 18-24 · female | 1.2% |
| 25-34 · male | 1.1% |
| 25-34 · unknown | 0.1% |
| 35-44 · unknown | 0.0% |
| 65+ · unknown | 0.3% |
| 45-54 · unknown | 0.1% |
| 55-64 · unknown | 0.1% |
| 18-24 · male | 0.3% |
| 35-44 · male | 2.7% |
| 65+ · female | 32.2% |
| 45-54 · male | 3.2% |
| 55-64 · male | 6.1% |
| 65+ · male | 10.8% |
| 55-64 · female | 18.0% |
| 25-34 · female | 4.6% |
| 35-44 · female | 7.8% |
| 45-54 · female | 11.1% |
| 18-24 · unknown | 0.0% |
