Brian Bengs for South Dakota US Inactive
Brian Bengs for South Dakota
Brian Bengs is running for the U.S. Senate for South Dakotan as an Independent candidate. Learn more about Brian's views and policy ideas.
Brian Bengs is running for the U.S. Senate for South Dakotan as an Independent candidate. Learn more about Brian's views and policy ideas.
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 | 29.7/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 49.2 · 0.0 · 69.7 |
| Spend range | <USD 99 |
| Impressions | 6,000 – 6,999 |
| CPM (≈ $/1k impr) | USD 7.62 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 1 (2026-04-09 → 2026-04-10) |
| Created | 2026-04-09 |
| Creative variants | 2 body · 0 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 | none |
| Call to action | learn more |
| Standout element | Candidate pointing directly at viewer with bold 'NO PARTY BOSSES' headline creating an outsider-populist confrontational stance |
| Tactic | The ad uses an anti-establishment populist trifecta — banning stock trades, taxing billionaires, and term limits — to position the veteran independent as a clean-hands reformer against a corrupt political class. |
Where it ran (delivery by region)
| South Dakota | 100.0% |
Who saw it (delivery)
| 18-24 · female | 16.3% |
| 45-54 · male | 5.0% |
| 65+ · male | 4.6% |
| 65+ · female | 3.1% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 5.1% |
| 55-64 · female | 2.7% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 1.6% |
| 18-24 · male | 29.5% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 7.4% |
| 35-44 · female | 2.4% |
| 25-34 · unknown | 0.4% |
| 25-34 · male | 15.9% |
| 25-34 · female | 5.0% |
| 18-24 · unknown | 0.7% |
| 65+ · unknown | 0.1% |
