John W. Hickenlooper US Inactive
HICKENLOOPER FOR COLORADO
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We need your help now.
Ad copy
We just made a hard decision that might’ve cost us this election: We launched a new ad to fight back against Republican attacks on our campaign — even though we don’t have the money in our budget. This is a make-or-break moment. We need your help to ensure our campaign to elect John Hickenlooper has the resources necessary to stay up on TV and fight back. Will you rush a $10 donation now?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 50.2/100 |
| Spend / Reach / Long. / Eff. | 59.4 · 85.0 · 1.7 · 54.9 |
| Spend range | USD 10,000–14,999 |
| Impressions | 200,000 – 249,999 |
| CPM (≈ $/1k impr) | USD 55.55 |
| Est. audience size | — |
| Days live | 7 (2020-10-25 → 2020-11-01) |
| Created | 2020-10-25 |
| 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-removed placeholder replacing the actual ad creative, exposing the ad's disclaimer issue |
| Tactic | The ad uses urgency and scarcity framing ('make-or-break moment,' 'might've cost us this election') to pressure supporters into donating $10 to fund a counter-attack ad against Republican opponents. |
Where it ran (delivery by region)
| California | 17.0% |
| Colorado | 8.3% |
| New York | 6.5% |
| Washington | 5.9% |
| Texas | 5.0% |
| Florida | 4.0% |
| Illinois | 3.8% |
Who saw it (delivery)
| 35-44 · unknown | 0.2% |
| 45-54 · male | 7.0% |
| 65+ · unknown | 0.7% |
| 55-64 · unknown | 0.5% |
| 18-24 · female | 0.1% |
| 25-34 · female | 1.1% |
| 18-24 · male | 0.1% |
| 45-54 · unknown | 0.3% |
| 55-64 · female | 17.2% |
| 25-34 · unknown | 0.0% |
| 45-54 · female | 8.0% |
| 35-44 · female | 4.2% |
| 25-34 · male | 1.4% |
| 55-64 · male | 12.4% |
| 65+ · female | 25.4% |
| 65+ · male | 17.6% |
| 35-44 · male | 3.7% |
| 18-24 · unknown | 0.0% |
