Reilly Neill for U.S. Senate US Inactive
REILLY FOR MONTANA
Ad copy
We’ve been listening to voicemails from across Montana and we don’t take a single one for granted. After nearly two years on the road, having these conversations and hearing directly from so many of you, it means a lot to hear your voices come through like this. We're grateful and we're going to keep showing up. I've got your back, Montana. #ReillyforMontana
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 32.6/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 55.8 · 0.0 · 74.6 |
| Spend range | <USD 99 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 3.96 |
| Est. audience size | — |
| Days live | 1 (2026-04-28 → 2026-04-28) |
| Created | 2026-04-26 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | — |
| Candidate | MT — Reilly Neill |
| Surfaced by | “senate:Reilly Neill” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | farm rural |
| Call to action | none |
| Standout element | dusty Montana dirt road stretching into open hills anchoring the candidate logo with wheat sheaf accent |
| Tactic | The grassroots listening-tour narrative combined with a voicemail device builds authentic, voter-first empathy while the rural road visual signals relentless on-the-ground commitment to Montana constituents. |
Where it ran (delivery by region)
| New York | 56.1% |
| Washington | 19.5% |
| New Jersey | 14.8% |
| California | 6.9% |
| Montana | 2.1% |
| Pennsylvania | 0.7% |
Who saw it (delivery)
| 18-24 · female | 0.6% |
| 45-54 · male | 14.3% |
| 65+ · male | 15.4% |
| 65+ · female | 15.0% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 15.9% |
| 55-64 · female | 10.3% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.5% |
| 18-24 · male | 2.0% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 10.4% |
| 35-44 · female | 3.4% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 5.2% |
| 25-34 · female | 1.3% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.2% |
