Wiley Nickel US Inactive
Wiley Nickel for Congress
Ad copy
Here’s the truth: I’ve pushed for funding and support for law enforcement as a State Senator and will again in Congress. That’s why I’m honored to have the endorsement of the NC Police Benevolent Association in this race for #NC13. Check out our latest ad here ➡️➡️
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 42.8/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 72.4 · 1.4 · 62.8 |
| Spend range | USD 1,000–1,499 |
| Impressions | 60,000 – 69,999 |
| CPM (≈ $/1k impr) | USD 19.22 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 6 (2022-10-14 → 2022-10-20) |
| Created | 2022-10-14 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NC — Wiley Nickel |
| Surfaced by | “senate:Wiley Nickel” |
🧠 AI analysis
| Issue | crime safety |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | pride |
| Production tier | professional |
| Who pictured | police |
| Symbols | none |
| Call to action | learn more |
| Standout element | uniformed police officer speaking directly to camera with patrol cars in background, lending third-party law enforcement credibility |
| Tactic | Endorsement testimonial tactic uses a uniformed officer as a surrogate to inoculate the candidate against soft-on-crime attacks while building trust with public safety-minded voters. |
Where it ran (delivery by region)
| North Carolina | 100.0% |
| Louisiana | 0.0% |
| New Jersey | 0.0% |
| South Carolina | 0.0% |
| Colorado | 0.0% |
| Delaware | 0.0% |
| Florida | 0.0% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 25-34 · male | 5.5% |
| 45-54 · unknown | 0.1% |
| 35-44 · unknown | 0.2% |
| 25-34 · unknown | 0.1% |
| 55-64 · male | 6.1% |
| 35-44 · male | 7.6% |
| 65+ · female | 11.3% |
| 18-24 · female | 1.8% |
| 65+ · unknown | 0.1% |
| 45-54 · female | 15.7% |
| 65+ · male | 5.1% |
| 25-34 · female | 10.2% |
| 55-64 · female | 11.5% |
| 35-44 · female | 16.1% |
| 45-54 · male | 7.5% |
| 18-24 · male | 1.0% |
| 55-64 · unknown | 0.1% |
