Beta Feature

Surface insights in minutes, not days

Meet the Analytics AI Agent, built for live entertainment teams who need fast, trustworthy answers. Ask questions in plain language and instantly understand what’s happening across ticketing, marketing, and audience data.

Talk to our Team

AI Agent specifically trained on insights for live events professions

We built this Agent ourselves so we can take a more responsible approach to AI  and deliver a product designed specifically for ticketing and live events.

  • Purpose-built for live entertainment workflows and questions
  • Designed to maintain tighter data security than generic third-party tools
  • Built to evolve, with more capabilities coming as we move toward full launch

Know your audience beyond averages

Whether you’re planning a season, shaping pricing, or refining campaign strategy, you need a rich understanding of who’s actually showing up.  

  • Get a richer description of your audience, not just a segment label
  • Spot high-value behaviors, trends, and emerging audience groups
  • Answer questions like “Who is our audience?” with confidence

Advanced audience analysis without the complexity

The Analytics AI Agent makes analysis conversational, so the whole team can explore data and act on it.

  • Get fast, readable summaries you can share with stakeholders
  • Ask questions in plain language, without dashboards or SQL
  • Make smarter decisions without slowing down your workflow

Ask better questions. Get clearer answers.

What is our average days between purchase and event date? Does this differ by show?

AI Agent Response:

Our overall average lead time between ticket purchase and event date is 19 days.

This metric varies across productions and days of the week. The following data is based on performances from October 15, 2025, to January 14, 2026, and calculated using the difference between the transaction date and the performance date.

Ticket Purchase Lead Time (Oct 15, 2025 – Jan 14, 2026)
Average Days in Advance by Production
Production Average Days in Advance
Oklahoma 40
Cinderella 26
Pipe Dream 10
Leave It to Me! 10
Kiss Me, Kate 10
  • Which buyer groups contribute the most to total revenue?
  • Is that driven more by volume or by higher ticket prices?
  • Is that pattern consistent across most performances?
  • Which channels yield the highest revenue and highest Average Ticket Price (ATP)?
  • Has the gap between premium and other channels widened over time?
  • Which buyer groups contribute the most to total revenue?

See what your data can tell you

Let us show you how the Analytics AI Agent turns your questions into clear, usable answers.