Roy Cooper US Inactive
Cooper Victory Fund
We Can't Afford To Lose
We Can't Afford To Lose
The fight for Senate control comes down to North Carolina. Roy Cooper's Democratic campaign needs you now.
The fight for Senate control comes down to North Carolina. Roy Cooper's Democratic campaign needs you now.
Ad copy
Republicans control the U.S. Senate by the slimmest of margins, and North Carolina could be the seat that changes everything. We can't protect health care, voting rights, or our democracy without winning here. Chip in now — it’s the path to a Democratic U.S. Senate.
Republicans control the U.S. Senate by the slimmest of margins, and North Carolina could be the seat that changes everything. We can't protect health care, voting rights, or our democracy without winning here. Chip in now — it’s the path to a Democratic U.S. Senate.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 49.5/100 |
| Spend / Reach / Long. / Eff. | 49.0 · 81.7 · 7.4 · 59.7 |
| Spend range | USD 4,500–4,999 |
| Impressions | 150,000 – 174,999 |
| CPM (≈ $/1k impr) | USD 29.23 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 28 (2026-02-02 → 2026-03-02) |
| Created | 2026-02-02 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NC — Roy Cooper |
| Surfaced by | “senate:Roy Cooper” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate, diverse crowd |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate in casual red shirt shaking hands at a public market, projecting approachable everyman energy |
| Tactic | Urgency-driven fundraising appeal combining high-stakes Senate control framing with a relatable grassroots image to motivate small-dollar donors. |
Where it ran (delivery by region)
| North Carolina | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 4.9% |
| 65+ · male | 17.3% |
| 65+ · female | 35.2% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 8.2% |
| 55-64 · female | 15.6% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 8.4% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 3.1% |
| 35-44 · female | 4.1% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.9% |
| 25-34 · female | 1.2% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.5% |
