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 | 51.4/100 |
| Spend / Reach / Long. / Eff. | 63.0 · 87.0 · 1.9 · 53.8 |
| Spend range | USD 15,000–19,999 |
| Impressions | 250,000 – 299,999 |
| CPM (≈ $/1k impr) | USD 63.63 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 8 (2020-09-21 → 2020-09-29) |
| 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 | 16.4% |
| New York | 7.7% |
| Colorado | 6.0% |
| Washington | 4.7% |
| Florida | 4.7% |
| Texas | 4.2% |
| Massachusetts | 4.2% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 45-54 · female | 9.6% |
| 45-54 · unknown | 0.2% |
| 55-64 · unknown | 0.3% |
| 65+ · unknown | 0.5% |
| 65+ · female | 26.9% |
| 55-64 · female | 14.8% |
| 65+ · male | 14.9% |
| 55-64 · male | 9.5% |
| 25-34 · unknown | 0.1% |
| 35-44 · female | 6.8% |
| 35-44 · male | 5.8% |
| 45-54 · male | 6.9% |
| 35-44 · unknown | 0.2% |
| 25-34 · female | 1.6% |
| 25-34 · male | 1.7% |
| 18-24 · male | 0.1% |
| 18-24 · female | 0.1% |
