Logan for Kentucky US ● Active
Logan for Kentucky
Logan for Kentucky
Ad copy
Growing up, programs like food stamps and Medicaid helped lift me out of poverty to become a Secret Service agent and attorney. Now, politicians bought off by billionaires and special interests are making it impossible for Kentucky families to receive help like mine did. I'm running for Senate because Kentucky deserves leaders who have lived the hardships that everyday working families face — and aren't trying to slam shut the door of opportunity behind them. Like and follow my page to stay up to date on the latest news as I launch my campaign!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 51.8/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 51.9 · 78.2 · 59.6 |
| Spend range | USD 200–299 |
| Impressions | 8,000 – 8,999 |
| CPM (≈ $/1k impr) | USD 29.35 |
| Est. audience size | — |
| Days live | 285 (2025-09-16 → active) |
| Created | 2025-09-15 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | KY — Logan Forsythe |
| Surfaced by | “senate:Logan Forsythe” |
🧠 AI analysis
| Issue | healthcare |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | candidate, family children |
| Symbols | family |
| Call to action | none |
| Standout element | candidate flanked by young children and a golden doodle on a couch, projecting everyday family warmth |
| Tactic | The ad uses personal bootstrapping narrative — rising from food stamps to Secret Service agent — to build authentic credibility and contrast against corrupt elites, making the family photo a visual proof of the relatable values claimed in the copy. |
Where it ran (delivery by region)
| Ohio | 13.5% |
| Tennessee | 11.0% |
| Indiana | 11.0% |
| Florida | 6.3% |
| Illinois | 6.2% |
| Texas | 4.4% |
| Michigan | 3.4% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · male | 6.4% |
| 65+ · male | 15.5% |
| 65+ · female | 28.4% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 10.7% |
| 55-64 · female | 14.6% |
| 45-54 · unknown | 0.3% |
| 45-54 · female | 8.5% |
| 18-24 · male | 0.4% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 4.9% |
| 35-44 · female | 4.7% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 3.0% |
| 25-34 · female | 1.5% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.4% |
