Data is your most powerful asset
From Ticket Sales to Buyer Intelligence
Every ticket sold generates data. vivenu ensures you own every record and can act while the window to sell is still open.
Most Platforms Give You Access. vivenu Gives You Ownership.
Access lets you see numbers. Ownership lets you see everything behind them, every buyer, channel, and touchpoint, so you can act while it still matters.
Ticket Personalization
Most orders include multiple attendees. Custom fields at checkout mean you capture data on every person attending, not just the buyer who placed the order.
One account for everything
For your buyers: Every ticket, order, and upcoming event in one place. They log in once and see it all. For you: Account data feeds directly into customer tagging, presale access, and follow-up campaigns.
Live Reporting
Revenue, transactions, buyer behavior, and funnel performance tracked in real time. Reports are configurable, saveable, and schedulable to land in the right inbox.
Mobile Dashboard
The same live data, available on your phone. Monitor revenue, track scan rates, access buyer profiles, and resolve on-site issues without going back to a desktop.
See It in Your Context What Data Can Do For You
The challenges look different depending on what you sell. vivenu gives you the visibility to address them on your terms.
Performing Arts
A season program is announced. Opening night sells out. Mid-week shows two months out sit at 40% booked. To avoid discounting, act while you have the leverage:
- See which performances are drawing traffic without converting
- Identify buyers who attended opening night but haven't booked again
- Know which buyer needs one more reason to commit, before the seat stays empty
Sports
Gameday is around the corner. One stand is at 60% capacity while the others sold out weeks ago. Without live visibility, the only move left is a last-minute price drop that trains buyers to wait. With data ownership, you can:
- See exactly which regular attendees or local fans haven't booked for today’s game
- Reach fans within a short radius who have the physical ability to fill those seats on short notice
- Move early, with a targeted offer, while there is still time to fill the gap
Live Entertainment
Three nights sell out in hours. A fourth is added and sells slower. The difference comes down to how early you notice and how precisely you respond.
- See which campaigns drove purchases for the first three dates
- Identify which buyer segments haven't converted for the fourth
- Act before the only option left is a last-minute discount
Venues and Attractions
A permanent attraction runs timed entry across multiple sessions every day. Some slots sell out weeks in advance. Others sit half-empty on the day.
- Identify buyer segments who visit repeatedly but never purchase a premium tier
- Track where in the booking flow visitors abandon
- Make pricing and inventory decisions based on live behavior, not last season's averages
College
A college runs ticketing across athletics, performing arts, and campus events, often on a separate system for each. Every vendor owns a slice of the data. The institution owns none of it.
- One platform across athletics, performing arts, and campus events, with the data owned by the college, not split across vendors
- See which fundraising campaigns hit their goal and which stall, while there's still time to act
- Spot the football buyers who never came to a basketball game, and the donors who never bought a seat
What Changes When Your Data Works for You
Every data point vivenu captures feeds back into how you sell, who you target, and what you decide next.
Ad spend directed at people already in your ecosystem
Every campaign audience built from verified purchase history.
The audience data your sponsors actually want to see
Buyer demographics, purchase patterns, and attendance history in one profile.
React to demand before it disappears
Live checkout data available the moment a session or fixture goes on sale.
An audience you built, that you keep
No marketplace owns a share of your buyer database.
