John W. Hickenlooper US Inactive
HICKENLOOPER FOR COLORADO
⚠ Creative removed by Meta
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
Donate to John Hickenlooper for Senate!
Every donation helps, no matter the size.
Ad copy
It’s John Hickenlooper. I need your help to defeat Cory Gardner and flip this Senate seat. Will you donate $5, $10, or $15 to help me win in Colorado and flip this seat blue?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 55.9/100 |
| Spend / Reach / Long. / Eff. | 67.8 · 94.0 · 6.3 · 55.6 |
| Spend range | USD 25,000–29,999 |
| Impressions | 500,000 – 599,999 |
| CPM (≈ $/1k impr) | USD 50.0 |
| Est. audience size | — |
| Days live | 24 (2020-09-03 → 2020-09-27) |
| Created | 2020-09-03 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | CO — John Hickenlooper |
| Surfaced by | “senate:John Hickenlooper” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | unknown |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Facebook content removal notice obscuring the actual ad creative |
| Tactic | The ad uses a direct personal appeal from the candidate with urgent dollar-amount anchoring to lower the barrier to donating, though the creative itself is unavailable due to a platform policy disclaimer violation. |
Where it ran (delivery by region)
| California | 19.5% |
| New York | 7.2% |
| Texas | 5.4% |
| Washington | 4.8% |
| Florida | 4.7% |
| Massachusetts | 3.7% |
| Illinois | 3.6% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 65+ · male | 10.6% |
| 25-34 · unknown | 0.1% |
| 65+ · unknown | 0.5% |
| 25-34 · female | 3.0% |
| 35-44 · female | 10.0% |
| 55-64 · male | 11.1% |
| 65+ · female | 16.0% |
| 45-54 · male | 9.2% |
| 18-24 · male | 0.3% |
| 55-64 · female | 14.9% |
| 25-34 · male | 3.2% |
| 45-54 · female | 12.8% |
| 35-44 · male | 7.3% |
| 55-64 · unknown | 0.4% |
| 45-54 · unknown | 0.3% |
| 18-24 · female | 0.2% |
| 35-44 · unknown | 0.3% |
