Roy Cooper US Inactive
Cooper For North Carolina
Farm kid Roy Cooper slams DC tariffs
Roy Cooper pledges to prioritize North Carolina farmers hurt by tariffs, highlighting rising costs, shrinking export markets and the broader impact on local communities and food security.
Ad copy
I grew up working on the farm. I know how hard they work and I refuse to stand by while erratic tariffs hurt their livelihoods.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 50.0/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 85.0 · 8.0 · 72.1 |
| Spend range | USD 1,000–1,499 |
| Impressions | 200,000 – 249,999 |
| CPM (≈ $/1k impr) | USD 5.55 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 30 (2025-11-18 → 2025-12-18) |
| Created | 2025-11-18 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NC — Roy Cooper |
| Surfaced by | “senate:Roy Cooper” |
🧠 AI analysis
| Issue | agriculture rural |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | candidate, diverse crowd, workers labor |
| Symbols | farm rural |
| Call to action | learn more |
| Standout element | Candidate walking among farm storage silos with a diverse group of farmers, signaling authentic connection to agricultural community |
| Tactic | Roy Cooper leverages personal biography as a farm kid and a credibility-boosting news headline to build authentic empathy with NC farmers hurt by tariffs, implicitly framing himself as their defender against reckless DC policy. |
Where it ran (delivery by region)
| North Carolina | 100.0% |
Who saw it (delivery)
| 18-24 · female | 11.6% |
| 45-54 · unknown | 0.1% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.0% |
| 65+ · male | 1.4% |
| 65+ · female | 2.0% |
| 55-64 · unknown | 0.0% |
| 55-64 · male | 3.5% |
| 55-64 · female | 3.5% |
| 45-54 · male | 6.3% |
| 18-24 · male | 8.9% |
| 45-54 · female | 7.1% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 10.6% |
| 35-44 · female | 10.5% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 16.8% |
| 25-34 · female | 16.8% |
| 18-24 · unknown | 0.2% |
| Unknown · male | 0.0% |
