John W. Hickenlooper US Inactive
Hickenlooper for Colorado
Help Us Flip Colorado
With your help, we can win.
Ad copy
Colorado Senator Cory Gardner is a lap dog for Mitch McConnell and has voted 99% of the time with Donald Trump. John Hickenlooper can beat him and help us take back the Senate. Chip in now.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 60.5/100 |
| Spend / Reach / Long. / Eff. | 72.5 · 95.7 · 20.1 · 53.6 |
| Spend range | USD 40,000–44,999 |
| Impressions | 600,000 – 699,999 |
| CPM (≈ $/1k impr) | USD 65.38 |
| Est. audience size | — |
| Days live | 74 (2019-08-22 → 2019-11-04) |
| Created | 2019-08-21 |
| Creative variants | 1 body · 1 headline |
| Platforms | — |
| Languages | en |
| Candidate | CO — John Hickenlooper |
| Surfaced by | “senate:John Hickenlooper” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate, opponent |
| Symbols | none |
| Call to action | donate |
| Standout element | Side-by-side contrast of Hickenlooper in warm color vs. Gardner in stark black-and-white |
| Tactic | The classic contrast technique pairs a warm, smiling candidate photo against a desaturated, unflattering opponent image to visually reinforce the 'lap dog' attack copy and drive urgency to donate. |
Where it ran (delivery by region)
| California | 13.5% |
| New York | 6.5% |
| Florida | 5.8% |
| Texas | 4.7% |
| Washington | 4.4% |
| Massachusetts | 3.8% |
| Pennsylvania | 3.7% |
Who saw it (delivery)
| 65+ · female | 35.0% |
| 18-24 · male | 0.6% |
| 25-34 · unknown | 0.0% |
| 35-44 · unknown | 0.1% |
| 55-64 · unknown | 0.4% |
| 45-54 · unknown | 0.1% |
| 65+ · unknown | 0.8% |
| 18-24 · female | 0.3% |
| 35-44 · male | 1.8% |
| 55-64 · female | 16.6% |
| 35-44 · female | 1.5% |
| 25-34 · female | 0.7% |
| 25-34 · male | 1.1% |
| 65+ · male | 21.4% |
| 55-64 · male | 11.3% |
| 45-54 · male | 3.8% |
| 45-54 · female | 4.3% |
| 18-24 · unknown | 0.0% |
