Commissioner Eric Skrmetta, LPSC US Inactive
Eric Skrmetta Campaign Fund
Ad copy
As a State Representative, Kevin Pearson voted to water down Gwen’s Law stripping victims of domestic abuse of their right to a hearing before bonds granted to suspected abusers. The law set domestic abuse victims back decades. Eric Skrmetta is endorsed by the largest victims’ rights organization in Louisiana, CRIMEFIGHTERS. Keep the Commissioner who keeps our rates low. Re-elect Eric Skrmetta. (Source: HB 841 2055 Regular Session)
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 31.1/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 49.2 · 1.9 · 61.4 |
| Spend range | USD 100–199 |
| Impressions | 6,000 – 6,999 |
| CPM (≈ $/1k impr) | USD 23.0 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 8 (2020-10-26 → 2020-11-03) |
| Created | 2020-10-26 |
| Creative variants | 1 body · 0 headline |
| Platforms | |
| Languages | en |
| Candidate | LA — Eric Skrmetta |
| Surfaced by | “senate:Eric Skrmetta” |
🧠 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 | vote |
| Standout element | Close-up of a woman's bruised eye juxtaposed with an unflattering red-tinted photo of the opponent |
| Tactic | The ad uses visceral imagery of domestic violence combined with a damning legislative vote to emotionally devastate the opponent's credibility on safety issues while subtly reinforcing the incumbent's endorsement from a victims' rights group. |
Where it ran (delivery by region)
| Louisiana | 98.5% |
| Mississippi | 0.4% |
| Kentucky | 0.2% |
| Texas | 0.2% |
| Georgia | 0.1% |
| Alabama | 0.1% |
| Florida | 0.1% |
Who saw it (delivery)
| 35-44 · unknown | 0.1% |
| 18-24 · male | 1.2% |
| 55-64 · female | 14.5% |
| 55-64 · male | 16.2% |
| 65+ · male | 15.5% |
| 35-44 · male | 5.4% |
| 25-34 · male | 2.9% |
| 65+ · female | 19.1% |
| 35-44 · female | 3.5% |
| 45-54 · male | 9.7% |
| 45-54 · female | 8.9% |
| 18-24 · female | 0.5% |
| 55-64 · unknown | 0.1% |
| 65+ · unknown | 0.3% |
| 25-34 · female | 1.8% |
| 45-54 · unknown | 0.2% |
