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
South Dakota! If you are fired up and planning on voting for Medicaid expansion and legalizing Marijuana, you should vote for me! I support these policies. Sen. Thune vehemently opposes both.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 40.5/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 66.9 · 4.4 · 64.8 |
| Spend range | USD 500–599 |
| Impressions | 35,000 – 39,999 |
| CPM (≈ $/1k impr) | USD 14.65 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 17 (2022-10-22 → 2022-11-08) |
| Created | 2022-10-21 |
| Creative variants | 1 body · 0 headline |
| Platforms | |
| Languages | en |
| Candidate | SD — Brian Bengs |
| Surfaced by | “senate:Brian Bengs” |
🧠 AI analysis
| Issue | healthcare |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | vote |
| Standout element | Facebook content-removal notice replacing the actual ad creative, exposing a disclaimer compliance failure |
| Tactic | The ad uses a direct contrast tactic — aligning the candidate with popular ballot measures while explicitly naming Thune as an opponent of both — but the disclaimer violation caused removal, severely undermining its reach and credibility. |
Where it ran (delivery by region)
| South Dakota | 99.8% |
| Nebraska | 0.1% |
| Iowa | 0.1% |
| Unknown | 0.0% |
| Minnesota | 0.0% |
| North Dakota | 0.0% |
Who saw it (delivery)
| 18-24 · unknown | 0.2% |
| 25-34 · female | 11.8% |
| 65+ · unknown | 0.2% |
| 35-44 · unknown | 0.1% |
| 65+ · female | 13.3% |
| 55-64 · male | 5.6% |
| 35-44 · male | 8.6% |
| 55-64 · female | 10.8% |
| 35-44 · female | 12.8% |
| 55-64 · unknown | 0.1% |
| 45-54 · female | 10.3% |
| 18-24 · female | 5.2% |
| 25-34 · male | 6.9% |
| 18-24 · male | 2.1% |
| 65+ · male | 5.6% |
| 25-34 · unknown | 0.3% |
| 45-54 · male | 6.0% |
| 45-54 · unknown | 0.1% |
