Reilly Neill for U.S. Senate US Inactive
REILLY FOR MONTANA
Ad copy
Packed house in #BillingsMT to discuss #datacenterpower and the call on our water in #Montana. Most Montanans don’t want to subsidize corporate profits from unsustainable data centers. Developing this technology must include oversight. People across the state are standing up for our communities, our water, and stable energy rates. Next meeting: Jan. 26, 5:30 p.m., Broadview Community Center #ReillyforMontana #communityvoices
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 32.8/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 55.8 · 0.6 · 74.6 |
| Spend range | <USD 99 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 3.96 |
| Est. audience size | — |
| Days live | 3 (2026-01-16 → 2026-01-19) |
| Created | 2026-01-16 |
| 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 | awareness |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | diverse crowd, candidate |
| Symbols | none |
| Call to action | learn more |
| Standout element | packed lecture hall with diverse crowd attentively watching a presenter beside a periodic table chart, signaling grassroots civic energy |
| Tactic | The ad uses a 'people power' grassroots framing — a visibly packed community meeting room signals broad organic opposition to corporate data centers, lending authenticity and social proof to Neill's anti-corporate oversight message. |
Where it ran (delivery by region)
| Montana | 8.8% |
| California | 8.3% |
| Florida | 5.5% |
| Texas | 4.5% |
| Washington | 4.3% |
| Ohio | 3.5% |
| Michigan | 3.4% |
Who saw it (delivery)
| 18-24 · female | 1.5% |
| 45-54 · male | 2.9% |
| 65+ · male | 30.3% |
| 65+ · female | 37.8% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 8.3% |
| 55-64 · female | 8.4% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 2.4% |
| 18-24 · male | 1.4% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 1.8% |
| 35-44 · female | 1.1% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.6% |
| 25-34 · female | 1.0% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.7% |
