James Talarico Campaign
Texas Attorney General Ken Paxton just filed a lawsuit to remove me from public office. He’s trying to kick me out of office for breaking quorum with my House Democratic colleagues and stopping Trump’s redistricting power grab. But this seat doesn’t belong to him or to me — it belongs to the people. So here’s my message to Paxton: Come and take it. I’ll be fighting Paxton in court and doing everything I can to ensure all Texans have their voices heard in the democratic process. I’ll need a big team and lots of resources. If you’re with me, then click the link and add your name to show you have my back in this fight.
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| Overall score | 57.9/100 |
| Spend / Reach / Long. / Eff. | 71.2 · 100.0 · 2.5 · 57.8 |
| Spend range | USD 35,000–39,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 37.5 |
| Est. audience size | — |
| Days live | 10 (2025-08-08 → 2025-08-18) |
| Created | 2025-08-08 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | TX — James Talarico |
| Surfaced by | “senate:James Talarico” |
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | us flag |
| Call to action | sign petition |
| Standout element | Opponent's name 'Ken Paxton' overlaid in bold white text on the candidate's chest, reframing the candidate as a fighter against a named villain |
| Tactic | The ad weaponizes Paxton's lawsuit as a fundraising rallying cry, using the 'Come and take it' Texas cultural callback to turn a legal threat into a defiant show of strength that drives donations and list-building. |
| Texas | 45.8% |
| California | 8.5% |
| Florida | 3.6% |
| New York | 2.9% |
| Colorado | 2.3% |
| Washington | 2.1% |
| Illinois | 2.1% |
| 18-24 · female | 2.6% |
| 45-54 · male | 8.3% |
| 65+ · male | 6.7% |
| 65+ · female | 11.2% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 7.2% |
| 55-64 · female | 9.9% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 10.4% |
| 18-24 · male | 3.7% |
| 35-44 · unknown | 0.3% |
| 35-44 · male | 10.0% |
| 35-44 · female | 10.9% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 9.6% |
| 25-34 · female | 8.2% |
| 18-24 · unknown | 0.2% |
| 65+ · unknown | 0.2% |