John W. Hickenlooper US Inactive
HICKENLOOPER FOR COLORADO
Donate Now | John Hickenlooper (D-CO)
From brewing beer to balancing budgets, I’ve always found common-sense solutions that bring people together. Now, I’m running for re-election to keep delivering for Colorado. Join the team—donate today!
Ad copy
Our campaign finance system is broken. John Hickenlooper knows it. But here’s the reality: National Republicans and special interests are ready to pour millions into Colorado to try to flip this seat and expand their Senate majority. John’s campaign is fueled by people, not corporate PACs. That means every grassroots donation matters. When folks like you chip in a few dollars, it helps build the campaign we need to protect this seat and flip the Senate.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 53.3/100 |
| Spend / Reach / Long. / Eff. | 59.4 · 80.0 · 22.6 · 51.2 |
| Spend range | USD 10,000–14,999 |
| Impressions | 125,000 – 149,999 |
| CPM (≈ $/1k impr) | USD 90.91 |
| Est. audience size | — |
| Days live | 83 (2026-01-08 → 2026-04-01) |
| Created | 2026-01-08 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | CO — John Hickenlooper |
| Surfaced by | “senate:John Hickenlooper” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | candidate speaking directly to camera with subtitle overlay emphasizing 'everyday folks' |
| Tactic | The ad uses a people-vs-special-interests contrast frame to convert urgency about outside money into immediate small-dollar donations via ActBlue. |
Where it ran (delivery by region)
| Colorado | 20.3% |
| California | 11.7% |
| New York | 4.6% |
| Florida | 4.6% |
| Texas | 4.3% |
| Michigan | 4.1% |
| Washington | 3.9% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 5.3% |
| 65+ · unknown | 0.8% |
| 65+ · male | 31.3% |
| 65+ · female | 27.9% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 11.9% |
| 55-64 · female | 9.9% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.2% |
| 18-24 · male | 0.2% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 3.2% |
| 35-44 · female | 2.7% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 1.2% |
| 25-34 · female | 1.0% |
| 18-24 · unknown | 0.0% |
| Unknown · female | 0.0% |
