Congressman Wiley Nickel US Inactive
Office of Congressman Wiley Nickel
Lower Housing Costs for NC
Learn More >>>
Ad copy
Right now, working families in my district are struggling to keep up. They deserve to know their leaders are willing to roll up their sleeves to help. I introduced a bill to lower housing costs in North Carolina and this effort will go a long way in delivering vital tax relief to working families in North Carolina’s 13th District. Learn more about my efforts working for families of NC-13 by subscribing to my e-newsletter today.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 46.6/100 |
| Spend / Reach / Long. / Eff. | 30.5 · 78.0 · 8.0 · 69.8 |
| Spend range | USD 800–899 |
| Impressions | 100,000 – 124,999 |
| CPM (≈ $/1k impr) | USD 7.55 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 30 (2024-06-25 → 2024-07-25) |
| Created | 2024-06-25 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NC — Wiley Nickel |
| Surfaced by | “senate:Wiley Nickel” |
🧠 AI analysis
| Issue | housing |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | empathy |
| Production tier | professional |
| Who pictured | candidate |
| Symbols | none |
| Call to action | learn more |
| Standout element | bold red 'LOWERING COSTS' text dominating the dark background alongside candidate headshot |
| Tactic | The ad uses a classic constituent-service framing — pairing an approachable candidate photo with a concrete legislative action (Low Income Housing Tax Credit bill) to build credibility and drive newsletter list-building. |
Where it ran (delivery by region)
| North Carolina | 99.7% |
| South Carolina | 0.1% |
| Virginia | 0.1% |
| New York | 0.0% |
| Maryland | 0.0% |
| Florida | 0.0% |
| Massachusetts | 0.0% |
Who saw it (delivery)
| 35-44 · unknown | 0.0% |
| 25-34 · female | 9.8% |
| 45-54 · unknown | 0.0% |
| 65+ · unknown | 0.1% |
| 18-24 · unknown | 0.2% |
| 45-54 · male | 3.4% |
| 65+ · male | 11.1% |
| 55-64 · male | 5.6% |
| 18-24 · male | 8.1% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 6.5% |
| 18-24 · female | 21.4% |
| 35-44 · male | 4.2% |
| 65+ · female | 15.7% |
| 55-64 · female | 6.0% |
| 35-44 · female | 4.4% |
| 45-54 · female | 3.1% |
| 55-64 · unknown | 0.0% |
