Michael Faris for U.S. Senate US Inactive
MIKE FARIS FOR U.S. SENATE
Ad copy
🚨ATTENTION: FELLOW KENTUCKIANS 🚨 It’s a great day for supporters of Nate Morris. You have been shown exactly what I have been telling you for a year. The man would sell you out, the first chance he got. Today, he has done that. Some of you were lucky enough to find this out before you wasted your vote. For those that have, the Faris campaign would be honored to earn your support. We will not back out on YOU! We will make sure your voice is heard loud and clear. America First! 🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 38.6/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 65.4 · 1.1 · 67.1 |
| Spend range | USD 300–399 |
| Impressions | 30,000 – 34,999 |
| CPM (≈ $/1k impr) | USD 10.75 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 5 (2026-05-02 → 2026-05-07) |
| Created | 2026-05-02 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | KY — Michael Faris |
| Surfaced by | “senate:Michael Faris” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | candidate, workers labor |
| Symbols | us flag |
| Call to action | none |
| Standout element | Bearded working-class candidate filmed candidly in an industrial shop setting, projecting authenticity and blue-collar credibility |
| Tactic | The ad weaponizes a presumed betrayal moment by opponent Nate Morris to poach his supporters mid-race, using raw selfie-style video and populist 'America First' framing to position Faris as the trustworthy alternative who warned voters all along. |
Where it ran (delivery by region)
| Kentucky | 86.3% |
| Ohio | 4.9% |
| Indiana | 1.2% |
| Florida | 1.2% |
| Texas | 0.6% |
| Tennessee | 0.5% |
| California | 0.4% |
Who saw it (delivery)
| 18-24 · female | 0.4% |
| 45-54 · male | 11.8% |
| 65+ · male | 12.1% |
| 65+ · female | 14.1% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 12.3% |
| 55-64 · female | 10.2% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 7.8% |
| 18-24 · male | 1.9% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 11.0% |
| 35-44 · female | 6.6% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 8.4% |
| 25-34 · female | 2.9% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.1% |
