Commissioner Eric Skrmetta, LPSC US Inactive
The Eric Skrmetta Campaign
Six Simple Ways to Make it Through Summer’s Heat
When it’s hot outside, we want it cool inside. But trying to keep your cool in the dog days of summer can take a chunk of change out of your pocketbook. Even though Entergy has some of the lowest rates in the country, using a lot of electricity – which most people do in summer – can lead to hi...
Ad copy
A nice reminder from Entergy. Some simple ways to help with the high summer energy bills. If you ever need help with your bill, don't hesitate to reach out to your provider or my office.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 23.9/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 34.4 · 2.5 · 58.7 |
| Spend range | <USD 99 |
| Impressions | 1,000 – 1,999 |
| CPM (≈ $/1k impr) | USD 33.01 |
| Est. audience size | — |
| Days live | 10 (2019-07-01 → 2019-07-11) |
| Created | 2019-07-01 |
| Creative variants | 1 body · 1 headline |
| Platforms | — |
| Languages | en |
| Candidate | LA — Eric Skrmetta |
| Surfaced by | “senate:Eric Skrmetta” |
🧠 AI analysis
| Issue | energy environment |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | learn more |
| Standout element | Bright sun radiating over blue sky paired with relatable 'sweating' headline creates instant emotional connection to consumer pain point |
| Tactic | The ad borrows credibility from a utility company's own content to position the commissioner as a helpful public servant, building constituent goodwill through service-oriented soft persuasion rather than direct political messaging. |
Where it ran (delivery by region)
| Louisiana | 100.0% |
Who saw it (delivery)
| 18-24 · male | 0.1% |
| 25-34 · female | 0.5% |
| 55-64 · unknown | 0.8% |
| 25-34 · male | 0.5% |
| 65+ · female | 46.4% |
| 55-64 · male | 5.2% |
| 55-64 · female | 28.7% |
| 45-54 · female | 7.7% |
| 35-44 · female | 1.9% |
| 45-54 · male | 1.2% |
| 65+ · male | 5.9% |
| 35-44 · male | 0.5% |
| 65+ · unknown | 0.5% |
| 18-24 · female | 0.3% |
