James Talarico US Inactive
TALARICO FOR TEXAS
Donate to James Talarico for the U.S. Senate
Ad copy
If billionaires buying our elections doesn’t bother you, keep scrolling. But if it does, let me tell you how we change that. I’m James Talarico, running for U.S. Senate in Texas. I’ve never taken a dime from Corporate PACs. This campaign is funded by people like you giving what they can. And if we build the resources to compete with billionaire money, we can replace their puppet politicians with leaders who put people first. So please chip in whatever you can right now to help us take back Texas. I can’t do it without you.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 59.0/100 |
| Spend / Reach / Long. / Eff. | 71.2 · 100.0 · 7.2 · 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 | 27 (2026-05-01 → 2026-05-28) |
| Created | 2026-04-30 |
| 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 | positive candidate |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | money cash |
| Call to action | donate |
| Standout element | candidate speaking directly to camera outdoors with subtitle calling out billionaire election buying |
| Tactic | Uses populist contrast framing — positioning Talarico as the clean-hands grassroots alternative to billionaire-funded politicians — to convert outrage about money in politics into immediate donation action. |
Where it ran (delivery by region)
| Texas | 27.6% |
| California | 10.6% |
| Florida | 4.6% |
| New York | 4.5% |
| Washington | 3.4% |
| Illinois | 3.3% |
| Colorado | 3.0% |
Who saw it (delivery)
| 18-24 · female | 0.8% |
| 45-54 · unknown | 0.2% |
| Unknown · male | 0.0% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.3% |
| 65+ · male | 11.6% |
| 65+ · female | 10.5% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 10.3% |
| 55-64 · female | 7.2% |
| 45-54 · male | 11.3% |
| 18-24 · male | 2.7% |
| 45-54 · female | 6.4% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 14.6% |
| 35-44 · female | 6.8% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 12.2% |
| 25-34 · female | 4.5% |
| 18-24 · unknown | 0.1% |
| Unknown · unknown | 0.0% |
