Brian Bengs for South Dakota US Inactive
Brian Bengs for South Dakota
Brian Bengs For U.S. Senate – 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.
Ad copy
Mike Rounds is headed home to Pierre for a two week paid vacation while the Iran war passes the 60 day mark. I’m calling on him to stay in Washington and do his damn job by honoring the constitutional system of checks and balances.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 46.7/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 78.0 · 7.2 · 66.9 |
| Spend range | USD 1,000–1,499 |
| Impressions | 100,000 – 124,999 |
| CPM (≈ $/1k impr) | USD 11.11 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 27 (2026-05-05 → 2026-06-01) |
| Created | 2026-05-05 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | SD — Brian Bengs |
| Surfaced by | “senate:Brian Bengs” |
🧠 AI analysis
| Issue | foreign policy defense |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | military, capitol statue |
| Call to action | learn more |
| Standout element | Lengthy verbatim quote block in a bordered inset calling out the opponent by name for dereliction of duty during an active war |
| Tactic | The ad uses righteous indignation and constitutional framing to paint incumbent Mike Rounds as cowardly and derelict, leveraging a war-time urgency narrative to make Bengs appear principled by contrast. |
Where it ran (delivery by region)
| South Dakota | 100.0% |
Who saw it (delivery)
| 18-24 · female | 5.2% |
| 45-54 · male | 4.6% |
| 65+ · male | 24.3% |
| 65+ · female | 22.5% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 9.9% |
| 55-64 · female | 6.2% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 2.6% |
| 18-24 · male | 5.2% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 4.0% |
| 35-44 · female | 4.1% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 5.8% |
| 25-34 · female | 4.4% |
| 18-24 · unknown | 0.2% |
| 65+ · unknown | 0.5% |
