Nate Morris US Inactive
MORRIS FOR SENATE
STOP RINOs from TAKING OVER!
STOP RINOs from TAKING OVER!
STOP RINOs from TAKING OVER!
STOP RINOs from TAKING OVER!
RINO PUPPETS will DESTROY MAGA
RINO PUPPETS will DESTROY MAGA
RINO PUPPETS will DESTROY MAGA
RINO PUPPETS will DESTROY MAGA
Ad copy
JOIN OUR TEAM to stop the RINO takeover of DC!
JOIN OUR TEAM to stop the RINO takeover of DC!
JOIN OUR TEAM to stop the RINO takeover of DC!
JOIN OUR TEAM to stop the RINO takeover of DC!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 34.9/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 55.8 · 5.5 · 66.3 |
| Spend range | USD 100–199 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 11.96 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 21 (2025-08-11 → 2025-09-01) |
| Created | 2025-08-11 |
| Creative variants | 4 body · 4 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | KY — Nate Morris |
| Surfaced by | “senate:Nate Morris” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | none |
| Call to action | volunteer |
| Standout element | Rhino hand puppet staged beside a desaturated McConnell photo as a literal visual pun on 'RINO puppet' |
| Tactic | The ad weaponizes dark humor and a physical prop metaphor — the rhino puppet — to viscerally ridicule McConnell as a RINO puppet-master, stoking intra-party resentment to drive list-building sign-ups among base conservatives. |
Where it ran (delivery by region)
| Kentucky | 58.1% |
| Texas | 4.3% |
| California | 4.0% |
| Florida | 3.7% |
| Tennessee | 1.6% |
| Ohio | 1.6% |
| Pennsylvania | 1.6% |
Who saw it (delivery)
| 18-24 · female | 0.0% |
| 45-54 · male | 4.0% |
| 65+ · male | 45.2% |
| 65+ · female | 26.9% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 13.4% |
| 55-64 · female | 5.6% |
| 45-54 · unknown | 0.0% |
| 45-54 · female | 1.1% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 1.4% |
| 35-44 · female | 0.5% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.6% |
| 25-34 · female | 0.3% |
| 65+ · unknown | 0.5% |
