Phillip Rench for Maine US Inactive
PHILLIP RENCH FOR US SENATE CAMPAIGN
Senate candidate invites voters to see the stars
The former SpaceX engineer hoping to take Sen. Collins' seat says he has "zero association" with Elon Musk.
Ad copy
"I want to fix some of the structural issues that Mainers are facing," he said. "If you look at the amount of taxes we pay, property taxes, income taxes, Mainers face one of the highest tax burdens in the United States. That's been that way for decades. We need to actually take structural, concrete steps to fix those issues, so folks can actually graduate high school and afford to stay and build their lives here in Maine."
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 25.6/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 39.6 · 0.0 · 62.6 |
| Spend range | <USD 99 |
| Impressions | 2,000 – 2,999 |
| CPM (≈ $/1k impr) | USD 19.8 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 1 (2025-05-01 → 2025-05-02) |
| Created | 2025-05-01 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME — Phillip Rench |
| Surfaced by | “senate:Phillip Rench” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | hope |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | none |
| Standout element | Candidate gazing through telescope — SpaceX engineer framing signals technical credibility and aspirational vision |
| Tactic | Borrowed media credibility via WMTW news coverage lends third-party validation while the tax burden messaging appeals directly to pocketbook concerns of Maine voters. |
Where it ran (delivery by region)
| Maine | 100.0% |
Who saw it (delivery)
| 18-24 · male | 0.8% |
| 25-34 · female | 0.2% |
| 25-34 · male | 2.8% |
| 25-34 · unknown | 0.1% |
| 35-44 · female | 1.1% |
| 35-44 · male | 5.0% |
| 35-44 · unknown | 0.2% |
| 45-54 · female | 2.2% |
| 45-54 · male | 8.0% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 8.0% |
| 55-64 · male | 20.2% |
| 55-64 · unknown | 0.1% |
| 65+ · female | 18.2% |
| 65+ · male | 32.4% |
| 65+ · unknown | 0.7% |
