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
We’ll always fight for Colorado. When Trump tried to sell our public lands to the highest bidder, we stopped him. We’re fighting to overhaul ICE, and we’re taking on Wall Street banks to lower housing costs for Coloradans.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 51.4/100 |
| Spend / Reach / Long. / Eff. | 46.5 · 88.7 · 3.9 · 66.6 |
| Spend range | USD 3,500–3,999 |
| Impressions | 300,000 – 349,999 |
| CPM (≈ $/1k impr) | USD 11.54 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 15 (2026-06-02 → 2026-06-17) |
| Created | 2026-06-02 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | CO — John Hickenlooper |
| Surfaced by | “senate:John Hickenlooper” |
🧠 AI analysis
| Issue | housing |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | money cash, border |
| Call to action | learn more |
| Standout element | Split graphic with upward arrow attacking Wall Street/Trump and downward arrow promising lower housing costs, visually linking the two messages |
| Tactic | Uses a two-part visual contrast — rising opposition to powerful enemies paired with falling housing costs — to frame Hickenlooper as a fighter for working Coloradans against elite interests. |
Where it ran (delivery by region)
| Colorado | 100.0% |
Who saw it (delivery)
| 18-24 · female | 2.8% |
| 45-54 · unknown | 0.0% |
| Unknown · male | 0.0% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.0% |
| 65+ · male | 1.0% |
| 65+ · female | 1.3% |
| 55-64 · unknown | 0.0% |
| 55-64 · male | 1.5% |
| 55-64 · female | 1.9% |
| 45-54 · male | 1.8% |
| 18-24 · male | 1.8% |
| 45-54 · female | 1.8% |
| 35-44 · unknown | 0.7% |
| 35-44 · male | 21.2% |
| 35-44 · female | 29.1% |
| 25-34 · unknown | 0.5% |
| 25-34 · male | 13.4% |
| 25-34 · female | 21.0% |
| 18-24 · unknown | 0.1% |
| Unknown · unknown | 0.0% |
