Congressman Wiley Nickel US Inactive
Office of Congressman Wiley Nickel
Learn More
Today, Congressman Wiley Nickel (NC-13) and Congresswoman Young Kim (CA-40) introduced the Ending Scam Credit Repair Act (ESCRA) to combat fraudulent practices in the credit repair industry. The bill targets credit repair organizations (CROs) that exploit consumers by charging high fees without deli...
Ad copy
I'm proud of our efforts towards increasing transparency and protecting Americans from scam artists in the Credit Repair industry. My bipartisan bill would: - Ban upfront fees - Improve the dispute process - Require state registration
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 53.1/100 |
| Spend / Reach / Long. / Eff. | 44.9 · 91.4 · 6.3 · 69.7 |
| Spend range | USD 3,000–3,499 |
| Impressions | 400,000 – 449,999 |
| CPM (≈ $/1k impr) | USD 7.65 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 24 (2024-12-10 → 2025-01-03) |
| Created | 2024-12-10 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NC — Wiley Nickel |
| Surfaced by | “senate:Wiley Nickel” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | pride |
| Production tier | professional |
| Who pictured | candidate |
| Symbols | none |
| Call to action | learn more |
| Standout element | Bold red banner with 'ENDING SCAM CREDIT REPAIR ACT' flanked by red checkmarks listing bill provisions |
| Tactic | The ad uses a constituent-protection framing with a bipartisan appeal, positioning Nickel as a consumer champion fighting financial predators through a clean checklist format that makes the legislation feel tangible and actionable. |
Where it ran (delivery by region)
| North Carolina | 100.0% |
| Virginia | 0.0% |
| Unknown | 0.0% |
Who saw it (delivery)
| 18-24 · female | 8.7% |
| 45-54 · male | 5.5% |
| 65+ · male | 8.5% |
| 65+ · female | 11.5% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 6.1% |
| 55-64 · female | 5.6% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 4.3% |
| 18-24 · male | 5.8% |
| 35-44 · unknown | 0.5% |
| 35-44 · male | 9.3% |
| 35-44 · female | 6.7% |
| 25-34 · unknown | 1.4% |
| 25-34 · male | 11.6% |
| 25-34 · female | 9.9% |
| 18-24 · unknown | 3.7% |
| 65+ · unknown | 0.2% |
