Col. George Markert US Inactive
Markert For Senate
Pullups
Ad copy
Strength, leadership, and masculinity are officially back! No more failed politicians who can't get the job done. Here's me doing one pullup for each of Senator Hickenlooper's disastrous years in office. He couldn't do a fraction of this effort. In the Senate, he's done nothing. The same work ethic I brought for 30 years as a Marine will serve the people of Colorado. Please donate $22 to match my 22 pullups. DONATE: https://secure.winred.com/markert-for-senate-9f0ab13b/donate
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 41.3/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 70.7 · 3.6 · 73.6 |
| Spend range | USD 200–299 |
| Impressions | 50,000 – 59,999 |
| CPM (≈ $/1k impr) | USD 4.54 |
| Est. audience size | — |
| Days live | 14 (2025-12-08 → 2025-12-22) |
| Created | 2025-12-08 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | CO — George Markert |
| Surfaced by | “senate:George Markert” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | pride |
| Production tier | diy amateur |
| Who pictured | candidate, veterans military |
| Symbols | military, none |
| Call to action | donate |
| Standout element | Muscular Marine candidate doing pullups in a garage gym as a literal physical contrast to the opponent |
| Tactic | The ad uses a visceral physical challenge as a masculinity-and-work-ethic metaphor, pairing a concrete dollar ask ($22 = 22 pullups) with direct ridicule of the incumbent to drive both emotional contrast and fundraising conversion. |
Where it ran (delivery by region)
| Colorado | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 12.9% |
| 65+ · male | 25.7% |
| 65+ · female | 14.0% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 22.5% |
| 55-64 · female | 6.3% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 2.2% |
| 18-24 · male | 1.5% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 8.3% |
| 35-44 · female | 1.2% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 4.3% |
| 25-34 · female | 0.5% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |
