James Talarico US Inactive
TALARICO FOR TEXAS
Donate to James Talarico for the U.S. Senate
Ad copy
We're at risk of falling short of our fundraising goals for the upcoming March 31st FEC fundraising deadline, and so we need your help to catch up. We're up against some dark money forces who are trying to defeat our people powered movement, so I'm counting on you to ensure we have the resources to fight back, flip this seat, and win a Senate Majority. Chip in at the link below anything you can. Thank you!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 58.2/100 |
| Spend / Reach / Long. / Eff. | 80.0 · 100.0 · 1.1 · 51.7 |
| Spend range | USD 80,000–89,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 85.0 |
| Est. audience size | — |
| Days live | 5 (2026-03-28 → 2026-04-02) |
| Created | 2026-03-28 |
| 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 | urgency |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | candidate speaking directly to camera in casual clothes beside a pickup truck, signaling everyman authenticity |
| Tactic | The 'dark money forces' framing creates an us-vs-them urgency that pressures supporters to donate before the FEC deadline, leveraging both fear of losing and populist pride in a people-powered movement. |
Where it ran (delivery by region)
| Texas | 35.7% |
| California | 10.5% |
| New York | 4.0% |
| Florida | 4.0% |
| Washington | 3.0% |
| Illinois | 2.9% |
| Colorado | 2.7% |
Who saw it (delivery)
| 18-24 · female | 2.9% |
| 45-54 · unknown | 0.2% |
| Unknown · male | 0.0% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.2% |
| 65+ · male | 6.1% |
| 65+ · female | 9.4% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 6.1% |
| 55-64 · female | 7.1% |
| 45-54 · male | 7.4% |
| 18-24 · male | 5.7% |
| 45-54 · female | 7.4% |
| 35-44 · unknown | 0.3% |
| 35-44 · male | 12.4% |
| 35-44 · female | 9.5% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 15.4% |
| 25-34 · female | 9.2% |
| 18-24 · unknown | 0.2% |
| Unknown · unknown | 0.0% |
