Reilly Neill for U.S. Senate US Inactive
REILLY FOR MONTANA
What a new water plan could mean for state climate policy
A Democratic state representative believes a new water plan being developed by the Montana Department of Natural Resources and Conservation (DNRC) may…
Ad copy
Back in 2014, I served on Montana’s Water Policy Committee. I worked to make sure our 40-year water plan was based on science, not politics. The result was the first long-range water plan to acknowledge climate variability in #Montana. We build resilience when we work together and face reality, especially when it comes to water. #ThrowbackThursday
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 29.2/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 47.5 · 0.8 · 68.5 |
| Spend range | <USD 99 |
| Impressions | 5,000 – 5,999 |
| CPM (≈ $/1k impr) | USD 9.0 |
| Est. audience size | — |
| Days live | 4 (2026-05-11 → 2026-05-15) |
| Created | 2026-05-11 |
| 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 | positive candidate |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | none |
| Standout element | Committee room photo establishing real legislative credibility from 2014 water policy work |
| Tactic | The ad leverages authentic past governance experience and a news article to establish science-based credibility on water and climate, positioning the candidate as a pragmatic problem-solver rather than a partisan. |
Where it ran (delivery by region)
| Montana | 38.9% |
| Washington | 15.1% |
| Arizona | 11.8% |
| Oregon | 8.4% |
| Colorado | 7.6% |
| New Mexico | 4.9% |
| Utah | 3.9% |
Who saw it (delivery)
| 18-24 · female | 3.7% |
| 45-54 · male | 3.8% |
| 65+ · male | 25.9% |
| 65+ · female | 27.6% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 8.8% |
| 55-64 · female | 8.1% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.1% |
| 18-24 · male | 4.0% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 3.1% |
| 35-44 · female | 2.7% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 3.7% |
| 25-34 · female | 2.9% |
| 18-24 · unknown | 0.5% |
| 65+ · unknown | 0.8% |
