Lummis for Wyoming US Inactive
LUMMIS FOR WYOMING INC.
A ruthless Mexican drug lord’s empire is devastating families with its grip on small-town USA
With unparalleled speed, the Cártel Jalisco Nueva Generación, or CJNG, has set up shop in cities, towns and unsuspecting communities across America.
Ad copy
We need the wall. Drugs flowing across the US's porous southern border are devastating our communities and creating a wellspring for violence. I will work with President Trump to BUILD THE WALL. "...in the past five years, overwhelming cities and small towns with massive amounts of drugs."
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 38.1/100 |
| Spend / Reach / Long. / Eff. | 23.7 · 63.8 · 1.1 · 64.0 |
| Spend range | USD 400–499 |
| Impressions | 25,000 – 29,999 |
| CPM (≈ $/1k impr) | USD 16.35 |
| Est. audience size | — |
| Days live | 5 (2019-11-25 → 2019-11-30) |
| Created | 2019-11-25 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | WY — Cynthia Lummis |
| Surfaced by | “senate:Cynthia Lummis” |
🧠 AI analysis
| Issue | immigration |
| Framing | issue advocacy |
| Message type | persuasion |
| Emotional appeal | fear |
| Production tier | unknown |
| Who pictured | none |
| Symbols | border |
| Call to action | none |
| Standout element | blank white image with no visual content — message carried entirely by fear-laden copy |
| Tactic | The ad deploys fear and urgency by invoking a 'ruthless Mexican drug lord' threatening small-town America, then pivots to a Trump-aligned border wall solution to channel that fear into candidate support. |
Where it ran (delivery by region)
| Wyoming | 100.0% |
Who saw it (delivery)
| 45-54 · male | 11.6% |
| 18-24 · male | 6.6% |
| 65+ · unknown | 0.1% |
| 25-34 · unknown | 0.1% |
| 45-54 · unknown | 0.1% |
| 35-44 · unknown | 0.1% |
| 55-64 · unknown | 0.1% |
| 45-54 · female | 5.8% |
| 18-24 · female | 2.7% |
| 55-64 · female | 8.2% |
| 35-44 · male | 14.0% |
| 65+ · female | 9.4% |
| 55-64 · male | 10.3% |
| 65+ · male | 8.3% |
| 25-34 · male | 13.2% |
| 25-34 · female | 4.0% |
| 35-44 · female | 5.4% |
| 18-24 · unknown | 0.0% |
