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
Regular folks are struggling. Prices are increasing from both inflation and big corporations price gouging us for maximum profit. If elected, I'd work to renew the Child Tax Credit—putting an extra $600 per month in the pockets of South Dakota families. Sen. Thune not only voted against the enhanced Child Tax Credit, but he let it expire as well. It’s about time our government looked out for everyday people first.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 29.2/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 45.5 · 0.6 · 58.7 |
| Spend range | USD 100–199 |
| Impressions | 4,000 – 4,999 |
| CPM (≈ $/1k impr) | USD 33.23 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 3 (2022-10-20 → 2022-10-23) |
| Created | 2022-10-20 |
| Creative variants | 1 body · 0 headline |
| Platforms | |
| Languages | en |
| Candidate | SD — Brian Bengs |
| Surfaced by | “senate:Brian Bengs” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | urgency |
| Production tier | unknown |
| Who pictured | candidate |
| Symbols | none |
| Call to action | none |
| Standout element | Facebook content removal notice obscuring the original ad creative |
| Tactic | The ad uses a populist contrast tactic — positioning Bengs as a champion of struggling families while attacking Thune for killing the Child Tax Credit, though the content removal notice prevents direct viewing of the visual creative. |
Where it ran (delivery by region)
| South Dakota | 99.9% |
| Nebraska | 0.1% |
Who saw it (delivery)
| 45-54 · unknown | 0.1% |
| 55-64 · unknown | 0.1% |
| 18-24 · male | 0.5% |
| 25-34 · male | 2.3% |
| 18-24 · female | 1.1% |
| 45-54 · male | 4.9% |
| 25-34 · female | 2.8% |
| 35-44 · male | 4.2% |
| 45-54 · female | 9.5% |
| 35-44 · female | 6.8% |
| 65+ · female | 31.0% |
| 25-34 · unknown | 0.2% |
| 55-64 · female | 14.8% |
| 55-64 · male | 8.5% |
| 65+ · male | 12.8% |
| 65+ · unknown | 0.3% |
