Roy Cooper US Inactive
Cooper Victory Fund
Your $1 Matters
We Can't Afford To Lose
Every Senate vote matters. Roy Cooper is running to flip this seat and break Republican control in Washington.
Every Senate vote matters. Roy Cooper is running to flip this seat and break Republican control in Washington.
Ad copy
I’m running for Senate to represent everyday North Carolinians, and that starts with how we fund this campaign. Every dollar counts.
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 | 50.0/100 |
| Spend / Reach / Long. / Eff. | 49.0 · 83.1 · 7.2 · 60.7 |
| Spend range | USD 4,500–4,999 |
| Impressions | 175,000 – 199,999 |
| CPM (≈ $/1k impr) | USD 25.33 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 27 (2026-02-02 → 2026-03-01) |
| 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 | hope |
| Production tier | semi pro |
| Who pictured | candidate, seniors |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate warmly shaking hands with an older female voter in a community gym setting |
| Tactic | The grassroots handshake photo paired with 'every dollar counts' framing positions Cooper as a people-powered underdog, using urgency and slim-margin stakes to drive small-dollar donations. |
Where it ran (delivery by region)
| North Carolina | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 4.0% |
| 65+ · male | 18.9% |
| 65+ · female | 36.2% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 8.1% |
| 55-64 · female | 15.8% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 7.9% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 2.3% |
| 35-44 · female | 3.8% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.7% |
| 25-34 · female | 1.0% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.7% |
