Reilly Neill for U.S. Senate US Inactive
REILLY FOR MONTANA
Ad copy
We don’t want data centers in #Montana without oversight. We don’t want to show up at a public meeting to find it’s an industry trade show. The public needs a voice in the data center debate, not just the opportunity to submit a written comment. We don’t want a call on our water. We don’t want higher energy rates. We don’t need corporate greenwashing. We will continue to stand up to corporate exploitation. It’s in our Montana DNA. #DataCenters #CallOnOurWater #MontanaSaysNo
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 30.5/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 50.6 · 0.8 · 70.8 |
| Spend range | <USD 99 |
| Impressions | 7,000 – 7,999 |
| CPM (≈ $/1k impr) | USD 6.6 |
| Est. audience size | — |
| Days live | 4 (2026-02-26 → 2026-03-02) |
| Created | 2026-02-26 |
| Creative variants | 1 body · 0 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 | diverse crowd, candidate |
| Symbols | none |
| Call to action | none |
| Standout element | candidate holding microphone at a packed community meeting, evoking grassroots accountability journalism |
| Tactic | The ad taps into anti-corporate populism and local identity ('Montana DNA') by framing data centers as exploitative outsiders threatening water and energy, using an authentic community-meeting photo to signal grassroots legitimacy. |
Where it ran (delivery by region)
| Montana | 100.0% |
Who saw it (delivery)
| 18-24 · female | 4.5% |
| 45-54 · male | 3.4% |
| 65+ · male | 15.9% |
| 65+ · female | 31.4% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 6.4% |
| 55-64 · female | 11.4% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 6.4% |
| 18-24 · male | 3.4% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 3.4% |
| 35-44 · female | 5.7% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 2.6% |
| 25-34 · female | 4.0% |
| 18-24 · unknown | 0.3% |
| 65+ · unknown | 0.4% |
