Congressman Wiley Nickel US Inactive
Office of Congressman Wiley Nickel
Email Alerts | Congressman Wiley Nickel
Ad copy
I introduced the No Budget, No Pay Act because members of Congress shouldn’t get paid if they don't do their job. I came to Congress to get things done and I'll continue to work in a bipartisan way to avoid a shutdown. Stay connected with me to learn more about my efforts in Washington.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 42.2/100 |
| Spend / Reach / Long. / Eff. | 23.7 · 72.4 · 2.2 · 70.4 |
| Spend range | USD 400–499 |
| Impressions | 60,000 – 69,999 |
| CPM (≈ $/1k impr) | USD 6.92 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 9 (2023-09-22 → 2023-10-01) |
| Created | 2023-09-22 |
| 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 | anger |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | money cash, none |
| Call to action | learn more |
| Standout element | torn congressional paycheck graphic paired with stacked red poker chips reinforcing the 'no pay' message |
| Tactic | The ad uses a populist accountability frame — tying congressional pay directly to budget performance — to position Nickel as a results-oriented reformer willing to hold Congress financially accountable. |
Where it ran (delivery by region)
| North Carolina | 99.6% |
| South Carolina | 0.1% |
| Virginia | 0.1% |
| Kentucky | 0.1% |
| Tennessee | 0.0% |
| Florida | 0.0% |
| Georgia | 0.0% |
Who saw it (delivery)
| 65+ · unknown | 0.0% |
| 18-24 · male | 15.3% |
| 65+ · male | 1.0% |
| 55-64 · male | 0.5% |
| 18-24 · unknown | 0.5% |
| 65+ · female | 1.3% |
| 45-54 · male | 0.4% |
| 25-34 · male | 8.3% |
| 25-34 · female | 18.8% |
| 55-64 · unknown | 0.0% |
| 18-24 · female | 48.0% |
| 35-44 · female | 3.2% |
| 55-64 · female | 0.5% |
| 35-44 · male | 1.3% |
| 45-54 · female | 0.8% |
| 35-44 · unknown | 0.0% |
| 25-34 · unknown | 0.1% |
