James Talarico US Inactive
TALARICO FOR TEXAS
Donate to James Talarico for the U.S. Senate
Ad copy
A new public poll was released, and James is LEADING against both John Cornyn and Ken Paxton. Texas Senate Poll, March 9 🔵 James Talarico: 44 🔴 John Cornyn: 43 🔵 James Talarico: 47 🔴 Ken Paxton: 45 This is huge. No matter which corrupt politician wins the Republican runoff, James can win. Please rush a $5 donation today to help us take back Texas. We need to maintain our momentum.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 56.1/100 |
| Spend / Reach / Long. / Eff. | 65.7 · 97.1 · 1.9 · 59.5 |
| Spend range | USD 20,000–24,999 |
| Impressions | 700,000 – 799,999 |
| CPM (≈ $/1k impr) | USD 30.0 |
| Est. audience size | — |
| Days live | 8 (2026-03-20 → 2026-03-28) |
| Created | 2026-03-20 |
| 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 | Poll numbers showing Talarico leading both Republican opponents by name in the ad copy, paired with a casual outdoor candidate-to-camera video |
| Tactic | Leads with a public poll showing the candidate ahead of both potential Republican opponents to create a sense of electability and momentum, then converts that excitement into a low-dollar donation ask. |
Where it ran (delivery by region)
| Texas | 28.9% |
| California | 12.4% |
| Florida | 5.1% |
| New York | 3.9% |
| Washington | 3.4% |
| Illinois | 3.1% |
| Colorado | 2.7% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · unknown | 0.2% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.4% |
| 65+ · male | 13.3% |
| 65+ · female | 14.2% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 12.3% |
| 55-64 · female | 10.2% |
| 45-54 · male | 12.9% |
| 18-24 · male | 0.6% |
| 45-54 · female | 8.2% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 12.3% |
| 35-44 · female | 7.0% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 5.3% |
| 25-34 · female | 2.3% |
| 18-24 · unknown | 0.0% |
| Unknown · male | 0.0% |
