Reilly Neill for U.S. Senate US Inactive
REILLY FOR MONTANA
Ad copy
These lupine are part of Montana’s memory. When you walk the backcountry and see these blooming at the base of a mountain, you’re walking through time, through seasons that came before us and lands that will be here after we’re gone. The future depends on us, on keeping our lands public, on pushing back against billionaires who want to exploit our resources, on electing leaders with integrity who actually care about what we leave behind. Let’s make sure our legacy is worth remembering. #OurMontana #ForThePeople #TreasureState
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Performance proxies
| Overall score | 31.4/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 53.0 · 0.3 · 72.5 |
| Spend range | <USD 99 |
| Impressions | 9,000 – 9,999 |
| CPM (≈ $/1k impr) | USD 5.21 |
| Est. audience size | — |
| Days live | 2 (2026-06-08 → 2026-06-10) |
| Created | 2026-06-08 |
| 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 | nostalgia |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | farm rural |
| Call to action | none |
| Standout element | Purple lupine wildflowers in the foreground with dramatic Montana mountain backdrop evoking timeless natural beauty |
| Tactic | Uses lyrical, place-based nostalgia to build emotional identity with Montana's landscape before pivoting to a public lands protection message, framing the candidate as a steward against wealthy exploiters. |
Where it ran (delivery by region)
| Washington | 17.9% |
| Arizona | 17.8% |
| Colorado | 13.6% |
| Montana | 10.6% |
| Oregon | 9.7% |
| Nevada | 8.7% |
| Utah | 5.8% |
Who saw it (delivery)
| 18-24 · female | 10.5% |
| 45-54 · male | 3.2% |
| 65+ · male | 11.9% |
| 65+ · female | 26.9% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 4.1% |
| 55-64 · female | 6.0% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.1% |
| 18-24 · male | 3.8% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 4.6% |
| 35-44 · female | 5.0% |
| 25-34 · unknown | 0.4% |
| 25-34 · male | 6.5% |
| 25-34 · female | 12.1% |
| 18-24 · unknown | 0.3% |
| 65+ · unknown | 0.4% |
