John W. Hickenlooper US Inactive
HICKENLOOPER FOR COLORADO
Donate to STOP Cory Gardner >>
Help Hick Win in Colorado!
Ad copy
First: Mitch McConnell stated Trump’s Supreme Court nominee would receive a Senate vote. Then: Trump pressured Cory Gardner to stay “loyal to the party” and confirm his SCOTUS nominee. Now: Gardner JUST announced his plans to confirm Trump’s nominee. We can’t let Senate Republicans put another far-right justice on the bench before we flip the Senate. Donate now to help Hick flip Colorado:
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 51.5/100 |
| Spend / Reach / Long. / Eff. | 55.2 · 88.7 · 1.4 · 60.5 |
| Spend range | USD 8,000–8,999 |
| Impressions | 300,000 – 349,999 |
| CPM (≈ $/1k impr) | USD 26.15 |
| Est. audience size | — |
| Days live | 6 (2020-09-21 → 2020-09-27) |
| Created | 2020-09-21 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | CO — John Hickenlooper |
| Surfaced by | “senate:John Hickenlooper” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | attack opponent |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Facebook content-removed placeholder used as the ad visual, creating an ironic meta-display |
| Tactic | The ad leverages a sequential 'First/Then/Now' narrative to frame Gardner as capitulating to Trump pressure on SCOTUS, driving urgency to donate before the Senate flips. |
Where it ran (delivery by region)
| California | 17.9% |
| New York | 6.6% |
| Washington | 6.1% |
| Texas | 5.3% |
| Illinois | 4.6% |
| Massachusetts | 3.9% |
| Florida | 3.7% |
Who saw it (delivery)
| 35-44 · unknown | 0.3% |
| 65+ · female | 15.5% |
| 25-34 · unknown | 0.1% |
| 45-54 · unknown | 0.3% |
| 55-64 · unknown | 0.3% |
| 18-24 · female | 0.1% |
| 65+ · male | 11.8% |
| 35-44 · male | 9.6% |
| 45-54 · male | 11.8% |
| 25-34 · male | 2.9% |
| 55-64 · male | 12.9% |
| 45-54 · female | 9.8% |
| 18-24 · male | 0.2% |
| 55-64 · female | 13.0% |
| 65+ · unknown | 0.4% |
| 35-44 · female | 8.7% |
| 25-34 · female | 2.3% |
| 18-24 · unknown | 0.0% |
