PHILLIP RENCH FOR US SENATE CAMPAIGN
Last year, Maine had the highest hike in energy prices in the Nation (Link). As Senator, I would prioritize securing Federal funding to grow our biomass energy production capabilities in Maine at our…
Hey Folks, Last year, Maine had the highest hike in energy prices in the Nation. We need common-sense solutions. As Senator, I would prioritize securing Federal funding to grow our biomass energy production capabilities in Maine at our few remaining paper mills. Doing so would stabilize electricity prices statewide, provide high-quality jobs in rural Maine, and give paper mills a much-needed additional revenue source. Learn more about my plan here: https://phillipformaine.com/maine-grown-energy/
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 35.5/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 59.2 · 2.2 · 68.8 |
| Spend range | USD 100–199 |
| Impressions | 15,000 – 19,999 |
| CPM (≈ $/1k impr) | USD 8.54 |
| Est. audience size | — |
| Days live | 9 (2025-08-29 → 2025-09-07) |
| Created | 2025-08-29 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME — Phillip Rench |
| Surfaced by | “senate:Phillip Rench” |
| Issue | energy environment |
| Framing | issue advocacy |
| Message type | persuasion |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | farm rural, factory industry |
| Call to action | learn more |
| Standout element | Circular badge-style illustration combining pine trees, a paper mill smokestack, and a freshly cut log under the 'Maine Grown Energy' wordmark, evoking a local craft/artisan aesthetic |
| Tactic | The ad uses a place-based identity appeal — 'Maine Grown' language and imagery — to frame a biomass energy policy as common-sense local pride, simultaneously addressing high energy prices and rural job loss in one emotionally resonant package. |
| Maine | 100.0% |
| 18-24 · female | 0.9% |
| 45-54 · male | 8.7% |
| 65+ · male | 31.6% |
| 65+ · female | 15.6% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 16.3% |
| 55-64 · female | 5.2% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 2.0% |
| 18-24 · male | 3.0% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 7.1% |
| 35-44 · female | 1.2% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 5.9% |
| 25-34 · female | 1.4% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.4% |