Congresswoman Julia Letlow US Inactive
Office of Congresswoman Julia Letlow
Securing Our Border
Securing Our Border
Securing Our Border
Learn More
Learn More
Learn More
Ad copy
I’m working with President Trump to secure our borders and stop the flow of deadly drugs and criminals into our country. Learn more about my work to keep our communities safe.
I’m working with President Trump to secure our borders and stop the flow of deadly drugs and criminals into our country. Learn more about my work to keep our communities safe.
I’m working with President Trump to secure our borders and stop the flow of deadly drugs and criminals into our country. Learn more about my work to keep our communities safe.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 45.7/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 78.0 · 7.4 · 76.4 |
| Spend range | USD 300–399 |
| Impressions | 100,000 – 124,999 |
| CPM (≈ $/1k impr) | USD 3.11 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 28 (2026-02-17 → 2026-03-17) |
| Created | 2026-02-17 |
| Creative variants | 3 body · 3 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | LA — Julia Letlow |
| Surfaced by | “senate:Julia Letlow” |
🧠 AI analysis
| Issue | immigration |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | candidate, police |
| Symbols | border |
| Call to action | learn more |
| Standout element | Congresswoman posing with a uniformed border officer in front of a chain-link fence, lending law enforcement credibility |
| Tactic | The ad uses the Trump name-drop and law enforcement photo-op to signal toughness on the border, combining fear of drugs and crime with a reassuring image of bipartisan authority. |
Where it ran (delivery by region)
| Louisiana | 91.1% |
| Texas | 2.7% |
| Mississippi | 1.3% |
| Alabama | 0.4% |
| Florida | 0.4% |
| Virginia | 0.4% |
| Georgia | 0.4% |
Who saw it (delivery)
| 18-24 · female | 3.4% |
| 45-54 · male | 12.0% |
| 65+ · male | 8.5% |
| 65+ · female | 7.4% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 11.2% |
| 55-64 · female | 7.8% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 7.7% |
| 18-24 · male | 3.7% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 11.9% |
| 35-44 · female | 8.7% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 10.6% |
| 25-34 · female | 6.6% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.1% |
