Scott Brown for New Hampshire
Your thermostat shouldn’t be a source of anxiety. But for too many in New Hampshire, it is. The frustrating reality is that the cheap natural gas we need is sitting just a few states away in Pennsylvania, but radical mandates are literally blocking the way. While states with common-sense energy policies enjoy lower retail prices, New England is stuck paying some of the highest rates in the entire country. We saw the truth during recent winter storms, ideology doesn't keep the lights on when the temperature drops; reliable energy does. It’s time to stop the bans on pipelines that would lower costs and create jobs, end the surcharges, and finally put Granite State families first. If you're with me, add your name to my endorsements list here: https://scottbrown.com/im-with-scott/
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| Overall score | 37.2/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 63.8 · 0.8 · 72.2 |
| Spend range | USD 100–199 |
| Impressions | 25,000 – 29,999 |
| CPM (≈ $/1k impr) | USD 5.44 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 4 (2026-02-19 → 2026-02-23) |
| Created | 2026-02-19 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NH — Scott Brown |
| Surfaced by | “senate:Scott Brown” |
| Issue | energy environment |
| Framing | issue advocacy |
| Message type | persuasion |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | factory industry |
| Call to action | none |
| Standout element | Candidate standing alone on a wintry industrial waterfront dock, evoking cold vulnerability and energy anxiety |
| Tactic | The ad uses cost-of-living anxiety and the relatable thermostat metaphor to frame regulatory opponents as the cause of New Hampshire's high energy prices, positioning Brown as a pragmatic problem-solver. |
| New Hampshire | 100.0% |
| 18-24 · female | 0.1% |
| 45-54 · male | 11.9% |
| 65+ · male | 22.2% |
| 65+ · female | 17.1% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 20.5% |
| 55-64 · female | 9.9% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 3.4% |
| 18-24 · male | 0.5% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 8.6% |
| 35-44 · female | 1.8% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 3.1% |
| 25-34 · female | 0.4% |
| 65+ · unknown | 0.2% |