James Talarico US Inactive
James Talarico Campaign
Stop Trump’s redistricting power grab
Ad copy
Governor Greg Abbott and Attorney General Ken Paxton are threatening to arrest me and remove me from office for leaving Texas and breaking quorum with my House Democratic colleagues to stop Trump’s redistricting power grab. I will do whatever it takes to stand up for my constituents and stand up for the people of Texas, but I need your help. Can you add your name and say you're with me? Your support helps send a powerful message that this power grab will not succeed.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 58.5/100 |
| Spend / Reach / Long. / Eff. | 83.0 · 100.0 · 1.4 · 49.6 |
| Spend range | USD 100,000–124,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 112.5 |
| Est. audience size | — |
| Days live | 6 (2025-08-05 → 2025-08-11) |
| Created | 2025-08-05 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | TX — James Talarico |
| Surfaced by | “senate:James Talarico” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | list building survey |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | sign petition |
| Standout element | Bold white text on a deep red-to-blue gradient evoking urgency and partisan stakes |
| Tactic | The ad uses a personal martyrdom frame — 'they're threatening to arrest me' — to convert outrage into a low-friction list-building sign-up action, amplifying the threat narrative to drive petition signatures. |
Where it ran (delivery by region)
| Texas | 44.4% |
| California | 9.5% |
| New York | 3.5% |
| Florida | 3.4% |
| Colorado | 2.6% |
| Illinois | 2.0% |
| North Carolina | 2.0% |
Who saw it (delivery)
| 18-24 · female | 3.1% |
| 45-54 · male | 6.7% |
| 65+ · male | 4.2% |
| 65+ · female | 8.2% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 4.5% |
| 55-64 · female | 8.2% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 10.5% |
| 18-24 · male | 3.0% |
| 35-44 · unknown | 0.3% |
| 35-44 · male | 11.1% |
| 35-44 · female | 15.8% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 10.7% |
| 25-34 · female | 12.8% |
| 18-24 · unknown | 0.2% |
| 65+ · unknown | 0.2% |
