James Talarico US Inactive
James Talarico Campaign
Donate to James Talarico for the U.S. Senate
Ad copy
We’ve got a bit of a problem. How do we meaningfully thank the more than 125,000 folks like you who have contributed to this campaign? There’s no perfect answer, but James has a plan and wanted to share it with you. Watch this special message from James. It’s only 90 seconds — but it matters to him that you know how much he appreciates your support. We can’t overstate how incredible this movement is. In three weeks, this team has already broken records and stunned the political establishment. They were underestimating us and betting against James. There’s no stopping now.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 57.5/100 |
| Spend / Reach / Long. / Eff. | 65.7 · 100.0 · 2.8 · 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 | 11 (2025-10-04 → 2025-10-15) |
| Created | 2025-10-04 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | TX — James Talarico |
| Surfaced by | “senate:James Talarico” |
🧠 AI analysis
| Issue | other |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | us flag |
| Call to action | donate |
| Standout element | candidate speaking directly to camera with Texas flag behind him and campaign sign visible, creating an intimate thank-you moment |
| Tactic | Uses reciprocity and gratitude framing — thanking 125,000 donors — to trigger an emotional obligation that nudges supporters to give again. |
Where it ran (delivery by region)
| Texas | 44.1% |
| California | 8.2% |
| Florida | 3.7% |
| New York | 2.9% |
| Illinois | 2.5% |
| Washington | 2.3% |
| Colorado | 2.2% |
Who saw it (delivery)
| 18-24 · female | 2.1% |
| 45-54 · male | 8.6% |
| 65+ · unknown | 0.2% |
| 65+ · male | 6.9% |
| 65+ · female | 10.8% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 6.9% |
| 55-64 · female | 8.6% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 8.7% |
| 18-24 · male | 4.8% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 12.0% |
| 35-44 · female | 10.3% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 11.6% |
| 25-34 · female | 7.7% |
| 18-24 · unknown | 0.1% |
| Unknown · unknown | 0.0% |
