Senator Dan Innis US Inactive
Friends of Dan Innis
Ad copy
A few years ago, I purchased Battles Farm right here in Bradford and renamed it Trails End, after my grandfathers farm. We’ve fixed it up and made it productive again, but kept much of the old charm. I’m running for the State Senate because, much like Trails End, I love New Hampshire and I want to preserve what makes us the greatest state in the country. Low taxes, more freedom and strong communities. On November 8th, I’m asking for your vote so we can keep our Live Free or Die attitude alive.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 32.1/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 49.2 · 3.0 · 55.1 |
| Spend range | USD 300–399 |
| Impressions | 6,000 – 6,999 |
| CPM (≈ $/1k impr) | USD 53.77 |
| Est. audience size | 1,001 – 5,000 |
| Days live | 12 (2022-10-28 → 2022-11-09) |
| Created | 2022-10-28 |
| Creative variants | 1 body · 0 headline |
| Platforms | |
| Languages | en |
| Candidate | NH — Dan Innis |
| Surfaced by | “senate:Dan Innis” |
🧠 AI analysis
| Issue | agriculture rural |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | nostalgia |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | farm rural |
| Call to action | vote |
| Standout element | Candidate physically working with hay bales in a barn, golden light streaming in — authentic hard-working farmer imagery |
| Tactic | The ad uses a personal story of farm restoration as a metaphor for preserving New Hampshire's values, building emotional connection through nostalgia and identity politics rather than policy argument. |
Where it ran (delivery by region)
| New Hampshire | 82.5% |
| Massachusetts | 3.1% |
| Florida | 1.4% |
| Maine | 1.1% |
| New York | 0.7% |
| Texas | 0.7% |
| Vermont | 0.6% |
Who saw it (delivery)
| 65+ · unknown | 0.1% |
| 45-54 · male | 7.1% |
| 25-34 · unknown | 0.1% |
| 35-44 · unknown | 0.2% |
| 45-54 · unknown | 0.2% |
| 18-24 · male | 2.2% |
| 55-64 · male | 9.0% |
| 25-34 · male | 7.7% |
| 25-34 · female | 9.3% |
| 55-64 · unknown | 0.1% |
| 35-44 · female | 10.5% |
| 35-44 · male | 8.4% |
| 45-54 · female | 10.3% |
| 65+ · female | 10.9% |
| 18-24 · female | 3.6% |
| 55-64 · female | 13.3% |
| 65+ · male | 6.8% |
| 18-24 · unknown | 0.0% |
