Roy Cooper US Inactive
Cooper For North Carolina
Roy Cooper: Make Health Care Cost Less
Roy Cooper: Make Health Care Cost Less
Roy Cooper: Make Health Care Cost Less
Ad copy
I’ll go after insurance companies that deny you treatment and rip you off.
I’ll go after insurance companies that deny you treatment and rip you off.
I’ll go after insurance companies that deny you treatment and rip you off.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 58.6/100 |
| Spend / Reach / Long. / Eff. | 69.6 · 100.0 · 6.1 · 58.9 |
| Spend range | USD 30,000–34,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 32.5 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 23 (2026-06-02 → 2026-06-25) |
| Created | 2026-06-02 |
| Creative variants | 3 body · 3 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NC — Roy Cooper |
| Surfaced by | “senate:Roy Cooper” |
🧠 AI analysis
| Issue | healthcare |
| Framing | issue advocacy |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | professional |
| Who pictured | candidate |
| Symbols | none |
| Call to action | learn more |
| Standout element | dark, desaturated blue tone over Cooper in a casual red shirt creates a serious, confrontational mood that visually matches the combative message |
| Tactic | The ad uses populist anger framing — positioning Cooper as a fighter champion against a corporate villain (insurance companies) — to build emotional resonance and voter trust on healthcare affordability. |
Where it ran (delivery by region)
| North Carolina | 100.0% |
Who saw it (delivery)
| 18-24 · female | 11.9% |
| 45-54 · male | 5.5% |
| 65+ · unknown | 0.1% |
| 65+ · male | 3.8% |
| 65+ · female | 5.4% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 4.4% |
| 55-64 · female | 5.7% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 7.3% |
| 18-24 · male | 7.6% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 7.5% |
| 35-44 · female | 9.7% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 13.7% |
| 25-34 · female | 16.4% |
| 18-24 · unknown | 0.3% |
| Unknown · unknown | 0.0% |
