Brian Bengs for U.S. Senate US Inactive
Brian Bengs for Senate
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Help Brian unseat John Thune
Ad copy
If we flip this seat in South Dakota, Democrats are all but guaranteed to hold the Senate and have one of the biggest Democratic Majorities in history. Affordable healthcare, quality jobs, and our democracy are all on the line this November. But first we have to compete with Senator John Thune’s $16 million warchest funded by corporations and wealthy elites. Can you chip in $10 to help me reach 1,000 gifts before midnight to help me win this race and build a historic Democratic Majority?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 35.7/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 51.9 · 12.9 · 57.1 |
| Spend range | USD 300–399 |
| Impressions | 8,000 – 8,999 |
| CPM (≈ $/1k impr) | USD 41.12 |
| Est. audience size | — |
| Days live | 48 (2022-08-10 → 2022-09-27) |
| Created | 2022-08-09 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | SD — Brian Bengs |
| Surfaced by | “senate:Brian Bengs” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | unknown |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Facebook content-removed disclaimer screen replacing the actual ad creative |
| Tactic | The ad leverages urgency and a midnight deadline combined with a David-vs-Goliath framing against Thune's corporate warchest to drive small-dollar donations toward a symbolic 1,000-gift milestone. |
Where it ran (delivery by region)
| California | 12.5% |
| South Dakota | 7.6% |
| New York | 5.2% |
| Florida | 4.7% |
| Texas | 4.4% |
| Michigan | 3.8% |
| Pennsylvania | 3.7% |
Who saw it (delivery)
| 45-54 · unknown | 0.0% |
| 55-64 · unknown | 0.1% |
| 45-54 · male | 2.5% |
| 65+ · unknown | 1.1% |
| 35-44 · female | 1.2% |
| 35-44 · unknown | 0.1% |
| 45-54 · female | 2.7% |
| 35-44 · male | 1.0% |
| 55-64 · male | 9.6% |
| 65+ · female | 41.6% |
| 65+ · male | 30.4% |
| 55-64 · female | 9.7% |
