Commissioner Eric Skrmetta, LPSC US Inactive
Eric Skrmetta Campaign Fund
Ad copy
As a State Representative, Kevin Pearson voted to eliminate state income tax deductions for federal income taxes paid for businesses, costing Louisiana businesses an estimated $200 million. Eric Skrmetta has put money back in our pockets lowering industrial utility bills to the lowest in the nation. We don’t need a tax and spend legislator to cause us rate hikes. Keep the Commissioner who keeps our rates low. Re-elect Eric Skrmetta. (Source: HB 31, 2016 1st Extraordinary Session)
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Performance proxies
| Overall score | 26.0/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 39.6 · 1.9 · 62.6 |
| Spend range | <USD 99 |
| Impressions | 2,000 – 2,999 |
| CPM (≈ $/1k impr) | USD 19.8 |
| 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 | economy taxes |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | money cash |
| Call to action | vote |
| Standout element | Opponent rendered in eerie green tint surrounded by stacks of cash on yellow background |
| Tactic | Classic attack tactic using a doctored, unflattering green-tinted image of the opponent surrounded by money to visually reinforce the message that he cost businesses $200 million, pairing visceral imagery with a concrete dollar figure to trigger financial anxiety. |
Where it ran (delivery by region)
| Louisiana | 98.5% |
| Mississippi | 0.4% |
| Kentucky | 0.2% |
| Texas | 0.2% |
| Georgia | 0.2% |
| Alabama | 0.1% |
| Indiana | 0.1% |
Who saw it (delivery)
| 18-24 · male | 1.2% |
| 35-44 · female | 2.4% |
| 65+ · male | 19.0% |
| 55-64 · female | 10.1% |
| 35-44 · male | 5.1% |
| 65+ · female | 19.7% |
| 25-34 · male | 3.3% |
| 45-54 · male | 11.1% |
| 55-64 · male | 19.3% |
| 45-54 · female | 5.8% |
| 65+ · unknown | 0.5% |
| 45-54 · unknown | 0.3% |
| 25-34 · female | 1.2% |
| 55-64 · unknown | 0.2% |
| 18-24 · female | 0.9% |
