John W. Hickenlooper US Inactive
HICKENLOOPER FOR COLORADO
John Hickenlooper: Fighting For Our Future
Ad copy
As Governor, John Hickenlooper took action to tackle climate change by passing ‘gold-standard’ methane regulations and getting two coal-fired power plants replaced with wind and solar energy. Meanwhile, Cory Gardner voted in favor of tax giveaways to Big Oil and Gas companies and refused to support a measure that protected public lands from drilling.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 49.5/100 |
| Spend / Reach / Long. / Eff. | 49.0 · 83.1 · 5.2 · 60.7 |
| Spend range | USD 4,500–4,999 |
| Impressions | 175,000 – 199,999 |
| CPM (≈ $/1k impr) | USD 25.33 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 20 (2020-09-03 → 2020-09-23) |
| Created | 2020-09-03 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | CO — John Hickenlooper |
| Surfaced by | “senate:John Hickenlooper” |
🧠 AI analysis
| Issue | energy environment |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | hope |
| Production tier | professional |
| Who pictured | candidate, opponent |
| Symbols | us flag, farm rural |
| Call to action | learn more |
| Standout element | Two-panel contrast layout juxtaposing smiling Hickenlooper in snowy Colorado outdoors against a dark, unflattering photo of Gardner |
| Tactic | Classic hero-vs-villain contrast structure uses vivid environmental imagery and the LCV 'Dirty Dozen' label to shame the opponent while positioning Hickenlooper as Colorado's environmental champion. |
Where it ran (delivery by region)
| Colorado | 100.0% |
Who saw it (delivery)
| 55-64 · unknown | 0.0% |
| 45-54 · female | 8.5% |
| 35-44 · unknown | 0.1% |
| 45-54 · unknown | 0.1% |
| 65+ · female | 2.2% |
| 18-24 · unknown | 0.1% |
| 55-64 · female | 2.0% |
| 18-24 · male | 8.6% |
| 35-44 · male | 11.8% |
| 55-64 · male | 2.2% |
| 45-54 · male | 7.5% |
| 25-34 · female | 16.0% |
| 25-34 · male | 16.0% |
| 35-44 · female | 13.0% |
| 18-24 · female | 9.9% |
| 25-34 · unknown | 0.2% |
| 65+ · male | 1.7% |
| 65+ · unknown | 0.0% |
