James Talarico US Inactive
TALARICO FOR TEXAS
Donate to James Talarico before 12/31
Ad copy
If everyone seeing this message donated $1 to James Talarico’s campaign for the U.S. Senate in Texas before the FEC deadline on 12/31, he’d build the largest grassroots campaign Texas has ever seen. However, not everyone gives, so we need those who understand the stakes to contribute today.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 56.1/100 |
| Spend / Reach / Long. / Eff. | 63.0 · 98.4 · 0.6 · 62.3 |
| Spend range | USD 15,000–19,999 |
| Impressions | 800,000 – 899,999 |
| CPM (≈ $/1k impr) | USD 20.59 |
| Est. audience size | — |
| Days live | 3 (2025-12-30 → 2026-01-02) |
| Created | 2025-12-29 |
| 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 | bold white subtitle 'The worst part' mid-frame creating cliffhanger tension that drives video engagement |
| Tactic | Classic deadline-urgency fundraising tactic using a $1 social-proof ask to lower the barrier to entry while flattering viewers as uniquely aware of the stakes, paired with a cliffhanger video hook to maximize watch-through and conversion. |
Where it ran (delivery by region)
| Texas | 40.2% |
| California | 9.2% |
| Florida | 3.7% |
| New York | 3.4% |
| Washington | 2.4% |
| Illinois | 2.4% |
| Colorado | 2.2% |
Who saw it (delivery)
| 18-24 · female | 3.8% |
| 45-54 · unknown | 0.2% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.2% |
| 65+ · male | 6.1% |
| 65+ · female | 7.9% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 6.0% |
| 55-64 · female | 6.9% |
| 45-54 · male | 8.0% |
| 18-24 · male | 7.2% |
| 45-54 · female | 7.5% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 11.6% |
| 35-44 · female | 10.6% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 13.5% |
| 25-34 · female | 9.8% |
| 18-24 · unknown | 0.2% |
| Unknown · male | 0.0% |
