Roy Cooper US Inactive
Cooper For North Carolina
Revolt against Whatley NC senate candidate
North Carolina GOP Senate candidate Michael Whatley has tried to paint his Democratic opponent, former Gov. Roy Cooper, as soft on crime — but a new report indicates Whatley himself forgave a sex offender accused of sexually assaulting teenagers in one of his hires for a party office.According to ...
Ad copy
Why would Whatley install a child sex offender in a powerful role?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 47.8/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 83.1 · 2.5 · 70.7 |
| Spend range | USD 1,000–1,499 |
| Impressions | 175,000 – 199,999 |
| CPM (≈ $/1k impr) | USD 6.66 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 10 (2026-03-20 → 2026-03-30) |
| Created | 2026-03-20 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NC — Roy Cooper |
| Surfaced by | “senate:Roy Cooper” |
🧠 AI analysis
| Issue | crime safety |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | none |
| Call to action | learn more |
| Standout element | Explosive accusation about child sex offender embedded in a news screenshot lending false-neutral credibility to a devastating attack |
| Tactic | The ad weaponizes borrowed media credibility by pairing a RawStory headline with a guilt-by-association question, making a shocking character attack appear journalistically validated rather than politically motivated. |
Where it ran (delivery by region)
| Virginia | 40.2% |
| Maryland | 33.7% |
| Washington, District of Columbia | 24.5% |
| West Virginia | 1.1% |
| Pennsylvania | 0.1% |
| New York | 0.1% |
| Texas | 0.0% |
Who saw it (delivery)
| 18-24 · female | 3.5% |
| 45-54 · unknown | 0.2% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.1% |
| 65+ · male | 4.1% |
| 65+ · female | 3.2% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 6.4% |
| 55-64 · female | 5.1% |
| 45-54 · male | 8.7% |
| 18-24 · male | 2.9% |
| 45-54 · female | 7.3% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 14.2% |
| 35-44 · female | 13.2% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 14.6% |
| 25-34 · female | 15.7% |
| 18-24 · unknown | 0.1% |
| Unknown · male | 0.0% |
