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
John Thune complains about inflation, crime and the border. Thune has been in Congress for 24 years and he hasn’t worked to solve any of these problems. Does he actually want to address these problems or just maintain them so he has something to complain about in future elections?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 32.0/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 51.9 · 0.6 · 63.5 |
| Spend range | USD 100–199 |
| Impressions | 8,000 – 8,999 |
| CPM (≈ $/1k impr) | USD 17.59 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 3 (2022-10-24 → 2022-10-27) |
| Created | 2022-10-24 |
| Creative variants | 1 body · 0 headline |
| Platforms | |
| Languages | en |
| Candidate | SD — Brian Bengs |
| Surfaced by | “senate:Brian Bengs” |
🧠 AI analysis
| Issue | democracy elections |
| 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 displayed as the ad itself, highlighting a compliance failure |
| Tactic | The ad attacks opponent John Thune's 24-year congressional record by framing his complaints about inflation, crime, and the border as cynical political posturing rather than genuine policy concern, using rhetorical questioning to imply bad faith. |
Where it ran (delivery by region)
| South Dakota | 99.8% |
| Nebraska | 0.1% |
| Wyoming | 0.0% |
| Iowa | 0.0% |
| Minnesota | 0.0% |
Who saw it (delivery)
| 18-24 · female | 0.5% |
| 45-54 · male | 6.0% |
| 45-54 · unknown | 0.0% |
| 18-24 · male | 0.2% |
| 55-64 · unknown | 0.2% |
| 65+ · unknown | 0.3% |
| 25-34 · male | 2.4% |
| 35-44 · female | 5.3% |
| 45-54 · female | 8.4% |
| 25-34 · female | 3.1% |
| 65+ · female | 29.0% |
| 55-64 · female | 15.1% |
| 55-64 · male | 9.9% |
| 65+ · male | 14.5% |
| 35-44 · male | 5.1% |
| 25-34 · unknown | 0.0% |
| 35-44 · unknown | 0.0% |
