James Talarico US Inactive
TALARICO FOR TEXAS
Can James Talarico count on you?
Ad copy
We hate to share bad news, but you should know John Cornyn just announced he outraised us last quarter. We can’t afford to let Republicans drown us out. Please consider making a contribution to make sure we have the resources to respond to whatever they throw at James.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 57.1/100 |
| Spend / Reach / Long. / Eff. | 65.7 · 100.0 · 1.1 · 61.6 |
| Spend range | USD 20,000–24,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 22.5 |
| Est. audience size | — |
| Days live | 5 (2026-01-19 → 2026-01-24) |
| Created | 2026-01-19 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | TX — James Talarico |
| Surfaced by | “senate:James Talarico” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Bright blue 'DONATE TODAY' button anchoring the bottom of the video frame against the candidate's casual, approachable appearance |
| Tactic | Classic fundraising urgency tactic — using opponent's outraising announcement as a threat trigger to spur small-dollar donations, softened by the candidate's informal, relatable direct-to-camera delivery. |
Where it ran (delivery by region)
| Texas | 43.5% |
| California | 8.7% |
| Florida | 3.2% |
| New York | 3.0% |
| Washington | 2.5% |
| Illinois | 2.2% |
| Colorado | 2.1% |
Who saw it (delivery)
| 18-24 · female | 3.3% |
| 45-54 · unknown | 0.2% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.2% |
| 65+ · male | 5.5% |
| 65+ · female | 9.5% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 5.3% |
| 55-64 · female | 8.3% |
| 45-54 · male | 7.3% |
| 18-24 · male | 4.8% |
| 45-54 · female | 9.1% |
| 35-44 · unknown | 0.3% |
| 35-44 · male | 11.1% |
| 35-44 · female | 12.4% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 11.7% |
| 25-34 · female | 10.5% |
| 18-24 · unknown | 0.2% |
| Unknown · male | 0.0% |
