Senator Dan Innis US Inactive
Senator Dan Innis
Ad copy
Chris Pappas and Nancy Pelosi are standing with the trans mob, voting to let radical activists prey on our sons and daughters and permanently destroy their bodies. I’m Dan Innis, and I’m running for U.S. Senate because we’ve let liberal radicals like Chris Pappas represent us in D.C. for far too long. We passed HB 377 that banned puberty blockers for children. Governor Ayotte just signed it into law in our state, and we are the ONLY state in New England protecting children from this life destroying mind virus. New Hampshire is a conservative state and President Trump needs more conservative fighters in Congress. I will deliver on that!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 28.1/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 45.5 · 0.0 · 67.0 |
| Spend range | <USD 99 |
| Impressions | 4,000 – 4,999 |
| CPM (≈ $/1k impr) | USD 11.0 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 1 (2025-08-08 → 2025-08-09) |
| Created | 2025-08-08 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NH — Dan Innis |
| Surfaced by | “senate:Dan Innis” |
🧠 AI analysis
| Issue | healthcare |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | farm rural, family |
| Call to action | none |
| Standout element | bold red paint-brush text banners reading 'FATHER' and 'AND FOR YOU' over an idyllic New Hampshire farm backdrop with the Dan Innis U.S. Senate barn-icon logo |
| Tactic | The ad pairs fear-based anti-trans rhetoric in the copy with a warm, rural fatherhood identity visual to position Innis as a protective parent-candidate against radical elites, exploiting the contrast between pastoral safety and perceived cultural threat. |
Where it ran (delivery by region)
| New Hampshire | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.0% |
| 18-24 · male | 0.3% |
| 25-34 · female | 0.3% |
| 25-34 · male | 2.6% |
| 35-44 · female | 1.1% |
| 35-44 · male | 7.8% |
| 35-44 · unknown | 0.0% |
| 45-54 · female | 2.4% |
| 45-54 · male | 11.4% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 9.4% |
| 55-64 · male | 23.2% |
| 55-64 · unknown | 0.2% |
| 65+ · female | 15.3% |
| 65+ · male | 25.4% |
| 65+ · unknown | 0.5% |
