John Cornyn US Inactive
TEXANS FOR SENATOR JOHN CORNYN INC.
Ad copy
Securing the border starts by listening to Border Patrol and equipping them with the necessary resources to secure our border. That’s why I fought with President Trump to pass the One Big Beautiful Bill, which nearly tripled the ICE Budget. I was proud to witness the benefits firsthand today during my visit, and I’m happy to partner with President Trump in the continual fight to secure our border.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 50.5/100 |
| Spend / Reach / Long. / Eff. | 44.9 · 87.0 · 3.6 · 66.4 |
| Spend range | USD 3,000–3,499 |
| Impressions | 250,000 – 299,999 |
| CPM (≈ $/1k impr) | USD 11.82 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 14 (2026-01-12 → 2026-01-26) |
| Created | 2026-01-12 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | TX — John Cornyn |
| Surfaced by | “senate:John Cornyn” |
🧠 AI analysis
| Issue | immigration |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate, police |
| Symbols | border, military |
| Call to action | none |
| Standout element | Bold orange-highlighted 'ENFORCEMENT' text against black background with C-SPAN news conference footage lending institutional credibility |
| Tactic | The ad leverages C-SPAN news footage as borrowed credibility to position Cornyn as a serious legislator actively working at the border, while the bold graphic text reinforces a pro-law-enforcement message tied to Trump's agenda. |
Where it ran (delivery by region)
| Texas | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.8% |
| 45-54 · male | 7.8% |
| 65+ · male | 26.4% |
| 65+ · female | 19.8% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 13.5% |
| 55-64 · female | 8.2% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.0% |
| 18-24 · male | 2.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 6.8% |
| 35-44 · female | 2.9% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 5.4% |
| 25-34 · female | 1.8% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.3% |
