Brian Bengs for South Dakota 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
John Thune voted against allowing Medicare to negotiate cheaper drug prices for our seniors. I will always stand with seniors instead of Big Pharma profiteering.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 30.0/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 47.5 · 0.3 · 60.2 |
| Spend range | USD 100–199 |
| Impressions | 5,000 – 5,999 |
| CPM (≈ $/1k impr) | USD 27.18 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 2 (2022-10-25 → 2022-10-27) |
| Created | 2022-10-25 |
| Creative variants | 1 body · 0 headline |
| Platforms | |
| Languages | en |
| Candidate | SD — Brian Bengs |
| Surfaced by | “senate:Brian Bengs” |
🧠 AI analysis
| Issue | social security medicare |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | none |
| Standout element | Facebook content removal notice obscuring the actual ad creative |
| Tactic | The ad uses a classic contrast attack tactic — pinning Thune to Big Pharma while positioning Bengs as the champion of seniors on drug pricing — though the platform removal notice renders the visual content entirely inaccessible. |
Where it ran (delivery by region)
| South Dakota | 99.9% |
| Iowa | 0.0% |
| Nebraska | 0.0% |
| Minnesota | 0.0% |
Who saw it (delivery)
| 35-44 · unknown | 0.1% |
| 65+ · male | 14.5% |
| 45-54 · unknown | 0.1% |
| 65+ · unknown | 0.4% |
| 55-64 · unknown | 0.1% |
| 25-34 · female | 3.0% |
| 65+ · female | 26.7% |
| 45-54 · female | 8.4% |
| 45-54 · male | 5.6% |
| 25-34 · male | 2.7% |
| 55-64 · female | 15.7% |
| 35-44 · male | 5.5% |
| 35-44 · female | 6.9% |
| 55-64 · male | 9.2% |
| 18-24 · male | 0.5% |
| 18-24 · female | 0.8% |
| 25-34 · unknown | 0.1% |
