Ty Pinkins for Mississippi US Inactive
TY PINKINS FOR CONGRESS
Ad copy
Tales from the Trail: It is unacceptable that in certain counties in MS, the unemployment rate is almost three times the national average, and poverty rates soar as high as 39%, compared to the national rate of around 12%. Senator Roger Wicker's performance for our state is disappointing. A change is needed. Support Ty Pinkins for U.S. Senate. Explore further details about my campaign on TyPinkins.com.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 32.6/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 55.8 · 0.0 · 74.6 |
| Spend range | <USD 99 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 3.96 |
| Est. audience size | — |
| Days live | 1 (2024-04-16 → 2024-04-17) |
| Created | 2024-04-16 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MS — Ty Pinkins |
| Surfaced by | “senate:Ty Pinkins” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | farm rural |
| Call to action | learn more |
| Standout element | stark rural Mississippi road scene evoking economic stagnation and neglect |
| Tactic | The ad uses concrete poverty and unemployment statistics to shame the incumbent and position Pinkins as the agent of change, leveraging data-driven emotional urgency. |
Where it ran (delivery by region)
| California | 11.5% |
| Texas | 10.7% |
| Florida | 9.8% |
| New York | 8.7% |
| Georgia | 7.8% |
| Pennsylvania | 5.1% |
| Louisiana | 4.6% |
Who saw it (delivery)
| 35-44 · unknown | 0.0% |
| 45-54 · female | 0.5% |
| 25-34 · unknown | 0.2% |
| 65+ · female | 0.5% |
| 45-54 · male | 0.9% |
| 55-64 · male | 0.6% |
| 35-44 · male | 1.9% |
| 18-24 · unknown | 0.7% |
| 25-34 · male | 14.9% |
| 65+ · unknown | 0.0% |
| 35-44 · female | 1.0% |
| 25-34 · female | 8.2% |
| 18-24 · female | 35.1% |
| 18-24 · male | 34.4% |
| 65+ · male | 0.7% |
| 55-64 · female | 0.3% |
| 45-54 · unknown | 0.0% |
