Brian Bengs for South Dakota US Inactive
Brian Bengs for South Dakota
Brian's Pledge to SD
Brian's Pledge to SD
Independent For U.S. Senate
Independent For U.S. Senate
Ad copy
Vote Lt. Colonel (Ret.) Brian Bengs. Brian Bengs is running for U.S. Senate to clean up Washington, not cash in on it. Independent. Veteran. South Dakota. Learn what Brian stands for 👇
Vote Lt. Colonel (Ret.) Brian Bengs. Brian Bengs is running for U.S. Senate to clean up Washington, not cash in on it. Independent. Veteran. South Dakota. Learn what Brian stands for 👇
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 38.5/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 59.2 · 14.0 · 68.8 |
| Spend range | USD 100–199 |
| Impressions | 15,000 – 19,999 |
| CPM (≈ $/1k impr) | USD 8.54 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 52 (2026-04-09 → 2026-05-31) |
| Created | 2026-04-09 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | SD — Brian Bengs |
| Surfaced by | “senate:Brian Bengs” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate, veterans military |
| Symbols | money cash, none |
| Call to action | learn more |
| Standout element | Candidate pointing directly at viewer against purple mountain gradient with bold anti-establishment policy bullet points |
| Tactic | Populist anti-establishment framing pairs a veteran's credibility with three concrete reform promises (stock trading ban, billionaire taxes, term limits) to position the independent candidate as an outsider contrast to entrenched party politicians. |
Where it ran (delivery by region)
| South Dakota | 100.0% |
Who saw it (delivery)
| 18-24 · female | 1.5% |
| 45-54 · male | 3.0% |
| 65+ · male | 25.2% |
| 65+ · female | 38.0% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 7.3% |
| 55-64 · female | 8.2% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 2.3% |
| 18-24 · male | 5.8% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 2.3% |
| 35-44 · female | 1.3% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 3.2% |
| 25-34 · female | 0.9% |
| 18-24 · unknown | 0.2% |
| 65+ · unknown | 0.6% |
