HICKENLOOPER FOR COLORADO
John took a different path to public office. After being laid off as a geologist, he opened the first brewpub in Colorado. As a small-business owner, John was active in the local community and ran for office because he believed he could bring a different perspective and get things done. At a time when Washington is rife with division, John is the problem-solver we need in the Senate.
Donald Trump tried to sell off Colorado's public lands. He attacked our freedoms. And now national Republicans are lining up to flip this seat red. Our first FEC deadline of the election year hits March 31, and a strong report scares them off. Three bucks, five bucks — whatever you can do.
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| Overall score | 43.2/100 |
| Spend / Reach / Long. / Eff. | 49.0 · 70.7 · 1.4 · 51.6 |
| Spend range | USD 4,500–4,999 |
| Impressions | 50,000 – 59,999 |
| CPM (≈ $/1k impr) | USD 86.36 |
| Est. audience size | — |
| Days live | 6 (2026-03-27 → 2026-04-02) |
| Created | 2026-03-27 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | CO — John Hickenlooper |
| Surfaced by | “senate:John Hickenlooper” |
| Issue | energy environment |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | farm rural |
| Call to action | donate |
| Standout element | Candidate speaking directly to camera with urgent attack-line subtitle burned into video frame |
| Tactic | Uses a fear-and-urgency combo — attacking Trump on public lands to trigger Western identity pride — then pivots immediately to an FEC deadline scarcity tactic to drive small-dollar donations. |
| Colorado | 43.7% |
| California | 9.4% |
| Florida | 4.0% |
| Texas | 3.4% |
| New York | 3.2% |
| Washington | 2.7% |
| Arizona | 2.1% |
| 18-24 · female | 0.1% |
| 45-54 · male | 3.5% |
| 65+ · unknown | 0.8% |
| 65+ · male | 29.4% |
| 65+ · female | 37.8% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 8.2% |
| 55-64 · female | 10.4% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 3.8% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 2.0% |
| 35-44 · female | 1.9% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.8% |
| 25-34 · female | 0.8% |
| 18-24 · unknown | 0.0% |
| Unknown · female | 0.0% |