Reilly Neill for U.S. Senate US Inactive
REILLY FOR MONTANA
NorthWestern Energy: 11 more data center firms eyeing Montana, South Dakota
A group of environmental nonprofits have asked the Montana Public Service Commission to require NorthWestern to identify the 11 companies.
Ad copy
Absolutely not. I will fight the dirty money paying off our politicians to bring these centers to our state. I will castrate any opponent who has a history in data mining. This is a call on our water in #Montana.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 32.7/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 55.8 · 0.3 · 74.6 |
| Spend range | <USD 99 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 3.96 |
| Est. audience size | — |
| Days live | 2 (2026-02-23 → 2026-02-25) |
| Created | 2026-02-23 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MT — Reilly Neill |
| Surfaced by | “senate:Reilly Neill” |
🧠 AI analysis
| Issue | energy environment |
| Framing | issue advocacy |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | none |
| Symbols | factory industry |
| Call to action | none |
| Standout element | crude threat to 'castrate any opponent' paired with an industrial power plant aerial shot |
| Tactic | Highly amateurish and inflammatory ad using shock language and a news screenshot to stoke anti-corporate anger over water and energy, undermining credibility with extreme rhetoric. |
Where it ran (delivery by region)
| California | 6.9% |
| Montana | 6.5% |
| Florida | 5.5% |
| Michigan | 4.6% |
| Ohio | 4.6% |
| Texas | 4.2% |
| Wisconsin | 4.2% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 3.7% |
| 65+ · male | 26.6% |
| 65+ · female | 36.8% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 9.3% |
| 55-64 · female | 11.9% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 4.3% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 2.2% |
| 35-44 · female | 2.0% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 0.9% |
| 25-34 · female | 0.9% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.6% |
