James Talarico US Inactive
TALARICO FOR TEXAS
Donate to James Talarico for the U.S. Senate
Ad copy
It’s James Talarico. I’m now officially running against Ken Paxton. Here’s the truth: If we fail to take back Texas, we could hand this seat to the most corrupt politician in America. So if you understand the stakes of keeping Ken Paxton out of the U.S. Senate, please consider making a contribution to our general election today. We have a moral imperative to win in November.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 58.3/100 |
| Spend / Reach / Long. / Eff. | 81.1 · 100.0 · 1.1 · 50.9 |
| Spend range | USD 90,000–99,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 95.0 |
| Est. audience size | — |
| Days live | 5 (2026-05-26 → 2026-05-31) |
| Created | 2026-05-26 |
| 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 | fundraising |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Bold white subtitle text mid-frame calling Paxton 'the most corrupt' while the candidate speaks directly to camera |
| Tactic | Uses fear-based urgency and direct-to-camera candidate credibility to frame the race as a moral stakes fundraising ask against a corrupt opponent. |
Where it ran (delivery by region)
| Texas | 28.2% |
| California | 11.5% |
| New York | 5.2% |
| Florida | 4.1% |
| Washington | 3.3% |
| Illinois | 3.2% |
| Colorado | 2.9% |
Who saw it (delivery)
| 18-24 · female | 0.7% |
| 45-54 · unknown | 0.2% |
| Unknown · male | 0.0% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.3% |
| 65+ · male | 11.6% |
| 65+ · female | 11.6% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 11.0% |
| 55-64 · female | 8.7% |
| 45-54 · male | 11.1% |
| 18-24 · male | 2.4% |
| 45-54 · female | 7.0% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 13.5% |
| 35-44 · female | 6.4% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 10.9% |
| 25-34 · female | 4.0% |
| 18-24 · unknown | 0.0% |
| Unknown · unknown | 0.0% |
