John W. Hickenlooper US Inactive
HICKENLOOPER FOR COLORADO
John Hickenlooper for U.S. Senate
At a time when Washington is rife with division, John Hickenlooper is the problem-solver we need in the Senate.
Ad copy
The stakes have never been higher. That’s why we stopped Trump from selling our public lands to the highest bidder. And it’s why we’re fighting to protect our communities from ICE and lower costs for Colorado families.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 50.4/100 |
| Spend / Reach / Long. / Eff. | 43.1 · 87.0 · 3.9 · 67.7 |
| Spend range | USD 2,500–2,999 |
| Impressions | 250,000 – 299,999 |
| CPM (≈ $/1k impr) | USD 10.0 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 15 (2026-05-19 → 2026-06-03) |
| Created | 2026-05-19 |
| 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 | positive candidate |
| Message type | persuasion |
| Emotional appeal | hope |
| Production tier | professional |
| Who pictured | candidate |
| Symbols | farm rural |
| Call to action | learn more |
| Standout element | Blue checkmark bullet points listing three specific policy achievements against an outdoor Colorado backdrop |
| Tactic | The ad uses a trifecta issue stack — public lands, immigration, and cost of living — with checkmark visual cues to signal accomplishment and competence, positioning Hickenlooper as an effective problem-solver rather than just a challenger. |
Where it ran (delivery by region)
| Colorado | 100.0% |
Who saw it (delivery)
| 18-24 · female | 2.9% |
| 45-54 · male | 1.8% |
| 65+ · unknown | 0.0% |
| 65+ · male | 1.0% |
| 65+ · female | 1.4% |
| 55-64 · unknown | 0.0% |
| 55-64 · male | 1.4% |
| 55-64 · female | 1.8% |
| 45-54 · unknown | 0.0% |
| 45-54 · female | 1.7% |
| 18-24 · male | 1.8% |
| 35-44 · unknown | 0.7% |
| 35-44 · male | 20.9% |
| 35-44 · female | 27.8% |
| 25-34 · unknown | 0.5% |
| 25-34 · male | 14.0% |
| 25-34 · female | 22.0% |
| 18-24 · unknown | 0.1% |
| Unknown · male | 0.0% |
