Scott Brown US Inactive
Scott Brown for New Hampshire
Ad copy
I’ve never been one to back down from a tough matchup, and I’m sure as hell not starting now. On June 24th, we're going toe-to-toe at the Victoria Inn in Hampton for our very first debate. Let's call it Round 1. Our opponent will show up with all the polished talking points that establishment money can buy, but I’m bringing the Granite State grit. I'm proud to be "The People's Fighter", but I need a strong corner. Washington insiders are betting big on their candidate, but if you're betting on me, there's never been a better time to double down - https://secure.winred.com/scott-brown-for-new-hampshire-inc/social
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 41.6/100 |
| Spend / Reach / Long. / Eff. | 27.6 · 70.7 · 1.7 · 66.4 |
| Spend range | USD 600–699 |
| Impressions | 50,000 – 59,999 |
| CPM (≈ $/1k impr) | USD 11.81 |
| Est. audience size | — |
| Days live | 7 (2026-06-11 → 2026-06-18) |
| Created | 2026-06-11 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | — |
| Candidate | NH — Scott Brown |
| Surfaced by | “senate:Scott Brown” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | AI-generated image of Scott Brown in a boxing robe standing in a professional boxing ring with disclaimer label visible |
| Tactic | The boxing metaphor frames Brown as a scrappy underdog fighter versus a polished establishment opponent, using pugilistic imagery and 'People's Fighter' branding to drive donation urgency ahead of a debate. |
Where it ran (delivery by region)
| New Hampshire | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · male | 15.4% |
| 65+ · male | 20.1% |
| 65+ · female | 8.5% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 21.7% |
| 55-64 · female | 4.2% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 1.6% |
| 18-24 · male | 3.4% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 12.6% |
| 35-44 · female | 0.8% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 10.3% |
| 25-34 · female | 0.5% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |
