Astronaut Terry Virts US Inactive
Terry Virts for Texas
Ad copy
Chaos is lethal in space. It’s no safer down here on Earth. Our constitution is under attack. MAGA corruption is out of control. The ones paying for this disaster are hard working Texans. We’re footing the bill for tax breaks and payouts to billionaires in their private jets. My new mission: Stop the corruption in our government. I will attack this chaos head on, just like I did in space. Join me. Chip in $30 today. 👉 https://secure.actblue.com/donate/terry-virts-social?refcode=fb
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 34.3/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 55.8 · 1.7 · 62.5 |
| Spend range | USD 200–299 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 19.96 |
| Est. audience size | — |
| Days live | 7 (2025-07-08 → 2025-07-15) |
| Created | 2025-07-08 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | TX — Terry Virts |
| Surfaced by | “senate:Terry Virts” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate, veterans military |
| Symbols | military |
| Call to action | donate |
| Standout element | NASA spacewalk footage used as a metaphor for fighting chaos on Earth |
| Tactic | The ad leverages the candidate's astronaut credibility and 'chaos is lethal in space' analogy to frame anti-corruption messaging as a heroic mission, driving urgency for a $30 donation. |
Where it ran (delivery by region)
| California | 11.8% |
| Texas | 11.0% |
| Florida | 6.5% |
| Ohio | 3.7% |
| New York | 3.4% |
| Pennsylvania | 3.3% |
| Illinois | 3.0% |
Who saw it (delivery)
| 18-24 · female | 0.0% |
| 45-54 · male | 13.2% |
| 65+ · male | 27.4% |
| 65+ · female | 15.6% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 22.8% |
| 55-64 · female | 6.1% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 1.9% |
| 18-24 · male | 0.0% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 9.4% |
| 35-44 · female | 0.9% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 1.9% |
| 25-34 · female | 0.1% |
| 65+ · unknown | 0.2% |
