Chuck Morse for NH US Inactive
Chuck Morse for NH
Ad copy
In Kelly Ayotte’s pro-amnesty, anti-castle doctrine world, an illegal gang member could break into your family home, and you could be arrested for fighting back. It’s no wonder Kelly was recognized as one of the most disloyal Republicans in the Senate. She can't be trusted. Chuck Morse championed constitutional carry and will stand with President Trump to stop illegals from targeting our families. Chuck Morse is the proven conservative we can trust for Governor.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 47.9/100 |
| Spend / Reach / Long. / Eff. | 41.0 · 81.7 · 3.6 · 65.2 |
| Spend range | USD 2,000–2,499 |
| Impressions | 150,000 – 174,999 |
| CPM (≈ $/1k impr) | USD 13.84 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 14 (2024-08-13 → 2024-08-27) |
| Created | 2024-08-13 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NH — Chuck Morse |
| Surfaced by | “senate:Chuck Morse” |
🧠 AI analysis
| Issue | crime safety |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | guns 2a, family |
| Call to action | none |
| Standout element | Dark security camera footage of a home intrusion implying imminent danger to the viewer's family |
| Tactic | The ad weaponizes fear of home invasion by linking the opponent's policy positions to a visceral security-camera break-in scenario, then pivots to the candidate as the pro-gun, pro-Trump protector. |
Where it ran (delivery by region)
| New Hampshire | 100.0% |
| Unknown | 0.0% |
Who saw it (delivery)
| 35-44 · unknown | 0.1% |
| 35-44 · male | 9.5% |
| 45-54 · unknown | 0.1% |
| 65+ · unknown | 0.2% |
| 18-24 · male | 0.9% |
| 35-44 · female | 5.9% |
| 55-64 · unknown | 0.2% |
| 25-34 · male | 5.5% |
| 45-54 · female | 8.4% |
| 18-24 · female | 0.3% |
| 55-64 · female | 11.7% |
| 45-54 · male | 10.9% |
| 65+ · male | 14.0% |
| 65+ · female | 14.8% |
| 55-64 · male | 14.9% |
| 25-34 · female | 2.4% |
| 25-34 · unknown | 0.1% |
