James Talarico US Inactive
TALARICO FOR TEXAS
Can James Talarico count on you?
Ad copy
My team and I just made a difficult budget decision that I wanted to share with you. In conversations about campaign strategy, it became clear to us that if we made some larger investments now, we would be in a much better position to win this primary on March 3rd and flip Texas in November. We don't have the money in the budget yet, but I approved the expense because I bet that if I explained the situation to our grassroots supporters, people like you would help us fill the gap. So please, click the link below to donate any amount you can to help us fund this important investment in our future.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 59.0/100 |
| Spend / Reach / Long. / Eff. | 88.4 · 100.0 · 1.9 · 45.8 |
| Spend range | USD 175,000–199,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 187.5 |
| Est. audience size | — |
| Days live | 8 (2026-01-21 → 2026-01-29) |
| Created | 2026-01-21 |
| 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 | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate speaking directly to camera outdoors in casual attire, creating an intimate one-on-one confessional tone |
| Tactic | Uses a 'behind-the-scenes budget decision' transparency tactic to build trust and trigger reciprocity, making donors feel like insiders being asked to close a strategic funding gap. |
Where it ran (delivery by region)
| Texas | 26.7% |
| California | 10.2% |
| New York | 5.1% |
| Florida | 3.6% |
| Illinois | 3.5% |
| Washington | 3.1% |
| Colorado | 2.8% |
Who saw it (delivery)
| 18-24 · female | 3.3% |
| 45-54 · unknown | 0.2% |
| Unknown · male | 0.0% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.1% |
| 65+ · male | 4.4% |
| 65+ · female | 5.9% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 5.0% |
| 55-64 · female | 6.7% |
| 45-54 · male | 7.3% |
| 18-24 · male | 3.5% |
| 45-54 · female | 9.2% |
| 35-44 · unknown | 0.3% |
| 35-44 · male | 12.9% |
| 35-44 · female | 14.7% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 12.8% |
| 25-34 · female | 13.2% |
| 18-24 · unknown | 0.1% |
| Unknown · unknown | 0.0% |
