Congressman Wiley Nickel US Inactive
Office of Congressman Wiley Nickel
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Today, Congressman Wiley Nickel (NC-13) introduced the Fair and Impartial Redistricting for Meaningful and Accountable Political Systems (FAIR MAPS) Act. The FAIR MAPS Act would combat partisan gerrymandering by establishing independent, non-partisan redistricting commissions in every state.
Ad copy
I introduced the FAIR MAPS Act bill, which will stop partisan gerrymandering by creating independent redistricting commissions in every state. This bill gives voters the power to choose their representatives without political influence. Follow my work to learn more about this issue.
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Performance proxies
| Overall score | 48.6/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 80.0 · 11.3 · 68.4 |
| Spend range | USD 1,000–1,499 |
| Impressions | 125,000 – 149,999 |
| CPM (≈ $/1k impr) | USD 9.09 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 42 (2024-11-21 → 2025-01-02) |
| Created | 2024-11-08 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NC — Wiley Nickel |
| Surfaced by | “senate:Wiley Nickel” |
🧠 AI analysis
| Issue | democracy elections |
| 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 repeating 'VOTE' text backdrop in blue-to-purple gradient creating visual energy behind the central message card |
| Tactic | The ad uses issue ownership framing — positioning Nickel as a champion of voter rights via the FAIR MAPS Act — to build name recognition and legislative credibility rather than directly persuade on a contested issue. |
Where it ran (delivery by region)
| North Carolina | 100.0% |
| Virginia | 0.0% |
| Unknown | 0.0% |
Who saw it (delivery)
| 18-24 · female | 5.8% |
| 45-54 · male | 5.8% |
| 65+ · male | 19.5% |
| 65+ · female | 22.2% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 9.7% |
| 55-64 · female | 7.3% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 3.6% |
| 18-24 · male | 3.9% |
| 35-44 · unknown | 0.3% |
| 35-44 · male | 5.5% |
| 35-44 · female | 3.5% |
| 25-34 · unknown | 0.7% |
| 25-34 · male | 5.1% |
| 25-34 · female | 4.3% |
| 18-24 · unknown | 2.3% |
| 65+ · unknown | 0.3% |
