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
From Business Insider “companies are pocketing their fattest profits in 70 years, even as they complain about inflation.” Commerce Department data shows corporate profit margins are at the greatest levels since the 1950’s. The Iron Mountain CEO says “he’s been praying for inflation because it’s an excuse to jack up prices.”
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 33.2/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 53.0 · 0.8 · 57.9 |
| Spend range | USD 300–399 |
| Impressions | 9,000 – 9,999 |
| CPM (≈ $/1k impr) | USD 36.79 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 4 (2022-10-27 → 2022-10-31) |
| Created | 2022-10-27 |
| Creative variants | 1 body · 0 headline |
| Platforms | |
| Languages | en |
| Candidate | SD — Brian Bengs |
| Surfaced by | “senate:Brian Bengs” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | issue advocacy |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | none |
| Symbols | money cash |
| Call to action | none |
| Standout element | Facebook content removal notice obscuring the actual ad creative |
| Tactic | The ad uses borrowed credibility from Business Insider and Commerce Department data to frame corporate greed as the true cause of inflation, stoking populist anger — but the content was removed by Facebook for disclaimer non-compliance, severely limiting its reach. |
Where it ran (delivery by region)
| South Dakota | 99.8% |
| Nebraska | 0.1% |
| Iowa | 0.0% |
| Wyoming | 0.0% |
Who saw it (delivery)
| 45-54 · unknown | 0.0% |
| 55-64 · female | 13.7% |
| 18-24 · male | 1.1% |
| 45-54 · male | 5.9% |
| 35-44 · male | 5.0% |
| 55-64 · male | 9.2% |
| 45-54 · female | 7.6% |
| 25-34 · female | 3.0% |
| 35-44 · female | 5.5% |
| 35-44 · unknown | 0.1% |
| 65+ · male | 15.9% |
| 25-34 · male | 2.9% |
| 65+ · female | 28.5% |
| 65+ · unknown | 0.3% |
| 18-24 · female | 1.1% |
| 25-34 · unknown | 0.1% |
| 55-64 · unknown | 0.1% |
