HICKENLOOPER FOR COLORADO
From brewing beer to balancing budgets, I’ve always found common-sense solutions that bring people together. Now, I’m running for re-election to keep delivering for Colorado. Join the team—donate today!
Hey there, it’s Elissa Slotkin. I’m here in Colorado with my friend John Hickenlooper because this is a seat we must defend if we’re going to have any shot at taking back the Senate. If you’re fed up with Trump and Washington Republicans selling you out – raising your cost of living to hand permanent tax cuts to the wealthiest few – then I need you to chip in to John’s re-election campaign today. Together, we can protect this seat and flip the Senate.
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| Overall score | 58.9/100 |
| Spend / Reach / Long. / Eff. | 67.8 · 91.4 · 22.6 · 53.7 |
| Spend range | USD 25,000–29,999 |
| Impressions | 400,000 – 449,999 |
| CPM (≈ $/1k impr) | USD 64.7 |
| Est. audience size | — |
| Days live | 83 (2026-01-08 → 2026-04-01) |
| Created | 2026-01-08 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | CO — John Hickenlooper |
| Surfaced by | “senate:John Hickenlooper” |
| Issue | economy taxes |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Elissa Slotkin delivering a direct-to-camera testimonial endorsement as a surrogate to boost Hickenlooper's fundraising credibility |
| Tactic | The ad leverages a peer-to-peer surrogate appeal tactic — using Slotkin's credibility as a fellow Democrat to frame the race as a high-stakes Senate control battle, while channeling economic populist anger at Republicans to drive donations. |
| Colorado | 25.5% |
| California | 9.7% |
| Michigan | 6.6% |
| New York | 4.4% |
| Florida | 4.3% |
| Washington | 3.4% |
| Texas | 3.3% |
| 18-24 · female | 0.1% |
| 45-54 · unknown | 0.2% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.7% |
| 65+ · male | 22.5% |
| 65+ · female | 32.4% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 8.6% |
| 55-64 · female | 13.1% |
| 45-54 · male | 4.0% |
| 18-24 · male | 0.1% |
| 45-54 · female | 7.7% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 2.4% |
| 35-44 · female | 5.3% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.9% |
| 25-34 · female | 1.7% |
| 18-24 · unknown | 0.0% |
| Unknown · male | 0.0% |