Astronaut Terry Virts US Inactive
Terry Virts for Texas
Terry Virts, Former Astronaut, Announces Texas Senate Run
Terry Virts, an early entrant in the Democratic field targeting Senator John Cornyn’s seat, appeared eager to take on his own party as well as President Trump’s.
Ad copy
Not being on anyone's short list for this role is exactly why I'm getting in the fight. D.C. insiders are calling the shots and we've ended up with chaos and corruption on one side and ineffective leadership on the other.
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Performance proxies
| Overall score | 38.0/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 63.8 · 1.4 · 65.9 |
| Spend range | USD 300–399 |
| Impressions | 25,000 – 29,999 |
| CPM (≈ $/1k impr) | USD 12.71 |
| Est. audience size | — |
| Days live | 6 (2025-06-23 → 2025-06-29) |
| Created | 2025-06-23 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | TX — Terry Virts |
| Surfaced by | “senate:Terry Virts” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | military |
| Call to action | none |
| Standout element | Candidate in NASA astronaut flight suit holding microphone against black background, projecting outsider authority |
| Tactic | The ad leverages Virts's astronaut outsider identity and borrowed credibility from a NYT news article to frame him as an authentic anti-establishment candidate rising above partisan chaos. |
Where it ran (delivery by region)
| California | 9.1% |
| Texas | 8.3% |
| Florida | 5.9% |
| Pennsylvania | 4.3% |
| New York | 4.1% |
| Illinois | 3.8% |
| Washington | 3.7% |
Who saw it (delivery)
| 18-24 · female | 0.4% |
| 45-54 · male | 3.7% |
| 65+ · male | 29.4% |
| 65+ · female | 39.9% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 9.4% |
| 55-64 · female | 7.4% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 2.0% |
| 18-24 · male | 1.4% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 2.2% |
| 35-44 · female | 1.1% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 1.5% |
| 25-34 · female | 0.7% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.6% |
