Brian Bengs for South Dakota US Inactive
Brian Bengs for South Dakota
He Fought Back
He Fought Back
Independent for U.S. Senate
Independent for U.S. Senate
Ad copy
He was happy as a Wind Cave National Park Ranger. Then Elon Musk's DOGE came for his job and the jobs of hundreds of his colleagues protecting South Dakota's public lands. So Brian decided to fight back. Vote Lt. Colonel (Ret.) Brian Bengs.
Vote Lt. Colonel (Ret.) Brian Bengs. He was happy as a Wind Cave National Park Ranger. Then Elon Musk's DOGE came for his job and the jobs of hundreds of his colleagues protecting South Dakota's public lands. So Brian decided to fight back.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 51.8/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 85.0 · 14.3 · 69.5 |
| Spend range | USD 1,500–1,999 |
| Impressions | 200,000 – 249,999 |
| CPM (≈ $/1k impr) | USD 7.78 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 53 (2026-04-09 → 2026-06-01) |
| 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 | energy environment |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | farm rural, money cash |
| Call to action | learn more |
| Standout element | Former park ranger in uniform hat seated on ATV with bold purple overlay card listing populist policy positions |
| Tactic | The ad uses a reluctant hero narrative — ordinary man pushed into action by an external villain (DOGE/Musk) — to build authenticity and channel populist anger into candidate support. |
Where it ran (delivery by region)
| South Dakota | 100.0% |
Who saw it (delivery)
| 18-24 · female | 3.0% |
| 45-54 · male | 6.5% |
| 65+ · male | 17.4% |
| 65+ · female | 22.6% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 9.2% |
| 55-64 · female | 8.9% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.0% |
| 18-24 · male | 6.5% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 6.0% |
| 35-44 · female | 4.0% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 7.0% |
| 25-34 · female | 3.0% |
| 18-24 · unknown | 0.2% |
| 65+ · unknown | 0.4% |
