James Talarico US Inactive
TALARICO FOR TEXAS
Stand with James Talarico
Can you add your name to personally endorse James Talarico for the U.S. Senate today? It may seem like a small action, but it speaks volumes about the strength of our campaign.
Ad copy
Hey, it’s James. Could you click the link below and add your name to personally endorse my campaign for the U.S. Senate? I’m hoping for as many signatures as possible to prove we have the people power behind us to win this election in November. So if you’re with me in our movement to take back Texas for the people, click the link below to add your name today. Thank you.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 56.8/100 |
| Spend / Reach / Long. / Eff. | 67.8 · 98.4 · 2.2 · 58.9 |
| Spend range | USD 25,000–29,999 |
| Impressions | 800,000 – 899,999 |
| CPM (≈ $/1k impr) | USD 32.35 |
| Est. audience size | — |
| Days live | 9 (2026-03-11 → 2026-03-20) |
| Created | 2026-03-11 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | TX — James Talarico |
| Surfaced by | “senate:James Talarico” |
🧠 AI analysis
| Issue | other |
| Framing | positive candidate |
| Message type | list building survey |
| Emotional appeal | hope |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | sign petition |
| Standout element | Casual 'Hey y'all' subtitle paired with open-collar confidence in an industrial setting signals authentic Texas roots |
| Tactic | The personal endorsement petition tactic converts passive supporters into named stakeholders, building both the list and a sense of co-ownership in the campaign. |
Where it ran (delivery by region)
| Texas | 50.4% |
| California | 7.1% |
| Florida | 3.7% |
| New York | 2.8% |
| Washington | 2.0% |
| Illinois | 2.0% |
| Colorado | 1.8% |
Who saw it (delivery)
| 18-24 · female | 3.3% |
| 45-54 · unknown | 0.1% |
| Unknown · male | 0.0% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.3% |
| 65+ · male | 12.4% |
| 65+ · female | 19.1% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 7.0% |
| 55-64 · female | 9.5% |
| 45-54 · male | 6.8% |
| 18-24 · male | 3.8% |
| 45-54 · female | 7.6% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 7.7% |
| 35-44 · female | 7.7% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 7.4% |
| 25-34 · female | 6.4% |
| 18-24 · unknown | 0.2% |
| Unknown · unknown | 0.0% |
