Reilly Neill for U.S. Senate US Inactive
REILLY FOR MONTANA
Ad copy
A Democrat won’t win in Montana without Republican votes. 🇺🇸 Building grassroots support in #Montana over the past year and a half, we know this is absolutely true. We can’t threaten or demonize Republicans and Conservatives. We need to listen to all Montanans if we want to win. It’s time a strong woman with integrity both stood up for our Democratic values and earned the respect of Montana people by taking their concerns to heart. I’m a proud Democrat and I’ve built a plan to go to the U.S. Senate and represent all Montanans. #ReillyforMontana #VoteBlueJune2 #NoDarkMoney
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 38.5/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 66.9 · 0.8 · 74.5 |
| Spend range | USD 100–199 |
| Impressions | 35,000 – 39,999 |
| CPM (≈ $/1k impr) | USD 3.99 |
| Est. audience size | — |
| Days live | 4 (2026-05-13 → 2026-05-17) |
| Created | 2026-05-13 |
| 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 | persuasion |
| Emotional appeal | hope |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | us flag, farm rural |
| Call to action | vote |
| Standout element | Selfie-style video frame with Montana big-sky landscape backdrop conveying authenticity and grassroots approachability |
| Tactic | The ad deploys a cross-partisan unity appeal, positioning the candidate as a bridge-builder who respects conservatives, designed to peel off Republican votes in a red-leaning state. |
Where it ran (delivery by region)
| Texas | 6.8% |
| California | 5.7% |
| Ohio | 5.0% |
| Michigan | 4.4% |
| Florida | 4.3% |
| New York | 4.1% |
| Illinois | 4.0% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 4.6% |
| 65+ · male | 37.7% |
| 65+ · female | 26.0% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 19.0% |
| 55-64 · female | 7.6% |
| 45-54 · unknown | 0.0% |
| 45-54 · female | 1.6% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 1.4% |
| 35-44 · female | 0.6% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.7% |
| 25-34 · female | 0.3% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.3% |
