Astronaut Terry Virts US Inactive
Terry Virts for Texas
Help Terry Shake Things Up!
Show your support with a contribution.
Ad copy
This bill that MAGA Republicans just passed is the most corrupt bill in history. It will do tremendous damage to Texans. It is also the largest act of political suicide I have ever seen. Keep drinking the Trump-aid, Cornyn. We are coming for you in 2026. We must fight back. We must show John Cornyn that Texans wont take his corruption and cruelty laying down. Chip in $50 today to help me unseat him. 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 | 37.9/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 63.8 · 1.9 · 68.4 |
| Spend range | USD 200–299 |
| Impressions | 25,000 – 29,999 |
| CPM (≈ $/1k impr) | USD 9.07 |
| Est. audience size | — |
| Days live | 8 (2025-07-08 → 2025-07-16) |
| Created | 2025-07-08 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | TX — Terry Virts |
| Surfaced by | “senate:Terry Virts” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate, veterans military |
| Symbols | us flag, military |
| Call to action | donate |
| Standout element | Astronaut in NASA flight suit with US flag patch under bold 'SERVICE BEFORE SELF' tagline creates instant authority and patriotic contrast |
| Tactic | The ad weaponizes the candidate's astronaut credibility and military-style 'service before self' ethos to contrast against Cornyn's alleged corruption, pairing outrage-driven copy with a direct donation ask. |
Where it ran (delivery by region)
| Texas | 24.7% |
| California | 21.6% |
| Pennsylvania | 10.7% |
| Illinois | 10.7% |
| New York | 9.9% |
| Washington | 8.2% |
| Colorado | 7.7% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 3.8% |
| 65+ · male | 25.2% |
| 65+ · female | 41.5% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 8.9% |
| 55-64 · female | 10.9% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 3.0% |
| 18-24 · male | 0.3% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 2.1% |
| 35-44 · female | 1.6% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.8% |
| 25-34 · female | 0.6% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.6% |
