Reilly Neill for U.S. Senate US Inactive
REILLY FOR MONTANA
Ad copy
I just subscribed to the Montana Independent out of Red Lodge on #localnewsday! Social media is full of opinions. Local news covers facts on the ground. In Red Lodge last night, we heard hard facts for some folks on the ground. Montanans are concerned about the Constitution being upheld, they want us out of Iran, and they face local struggles like taxes on Social Security and rising economic pressures. This is Montana. We’ll tackle the issues, craft solutions, stand up to corruption, and get it done. #ReillyforMontana
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 32.7/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 55.8 · 0.3 · 74.6 |
| Spend range | <USD 99 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 3.96 |
| Est. audience size | — |
| Days live | 2 (2026-04-09 → 2026-04-11) |
| Created | 2026-04-09 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MT — Reilly Neill |
| Surfaced by | “senate:Reilly Neill” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | empathy |
| Production tier | diy amateur |
| Who pictured | candidate, diverse crowd |
| Symbols | none |
| Call to action | none |
| Standout element | Casual community event photo of candidate smiling and conversing with a constituent over wine, conveying authentic grassroots connection |
| Tactic | The ad uses a local-news credibility hook and intimate community gathering imagery to position the candidate as a grounded, listening leader who prioritizes facts over social media noise — building trust through authenticity rather than polish. |
Where it ran (delivery by region)
| California | 24.9% |
| Florida | 21.1% |
| Pennsylvania | 11.6% |
| Washington | 6.7% |
| Arizona | 6.3% |
| Montana | 6.1% |
| Nevada | 5.0% |
Who saw it (delivery)
| 18-24 · female | 41.6% |
| 45-54 · male | 2.2% |
| 65+ · male | 6.1% |
| 65+ · female | 6.2% |
| 55-64 · unknown | 0.0% |
| 55-64 · male | 3.0% |
| 55-64 · female | 2.0% |
| 45-54 · unknown | 0.0% |
| 45-54 · female | 1.5% |
| 18-24 · male | 12.7% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 2.6% |
| 35-44 · female | 2.0% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 7.8% |
| 25-34 · female | 10.6% |
| 18-24 · unknown | 1.3% |
| 65+ · unknown | 0.1% |
