Scott Brown US Inactive
Scott Brown for New Hampshire
Ad copy
I want to know where you stand on this. While national security challenges mount and New Hampshire families face a brutal winter, we’re watching the same old gridlock play out in Washington. Does the "60-vote rule" still make sense, or is it just a way for D.C. politicians to play games and stop anything from getting done? Are you tired of the endless delays? How should we get the gears moving again? Can New Hampshire afford another government shutdown? Tell me what you think in the comments below. #NHPolitics #Filibuster #CommonSense #NHGOP
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 38.2/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 65.4 · 0.3 · 69.6 |
| Spend range | USD 200–299 |
| Impressions | 30,000 – 34,999 |
| CPM (≈ $/1k impr) | USD 7.68 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 2 (2026-01-29 → 2026-01-31) |
| Created | 2026-01-28 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NH — Scott Brown |
| Surfaced by | “senate:Scott Brown” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | issue advocacy |
| Message type | list building survey |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | survey poll |
| Standout element | Candidate filmed casually in his own kitchen, standing in front of a photo-covered refrigerator, projecting everyman authenticity |
| Tactic | The ad uses an engagement-bait survey tactic — posing populist questions about the filibuster and government dysfunction to drive comments, boost algorithmic reach, and build a voter list, all while positioning Brown as an outsider listening to regular Granite Staters. |
Where it ran (delivery by region)
| New Hampshire | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · male | 10.4% |
| 65+ · male | 20.1% |
| 65+ · female | 19.2% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 16.0% |
| 55-64 · female | 9.5% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 3.9% |
| 18-24 · male | 2.5% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 8.3% |
| 35-44 · female | 2.9% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 5.2% |
| 25-34 · female | 1.0% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.2% |
