Ticket demand data
Ticket demand data: see which events are heating up.
Interest tells you how many people view an event in an hour. Sales tells you how many tickets it sells. Ticker charts both on the same dates as the price, so you see when a price move has buyers behind it.
The two readings
- Interest
- How many people are viewing an event in an hour. Compare it across events and over time to find the ones drawing attention.
- Sales
- How many tickets an event sells. Compare it across events and over time to find the ones heating up.
Demand beside supply
- Taken share
- How much of each section is taken on the primary map, and how it changed over time.
- Resale tickets
- How many tickets sellers have up, and how that count moved this week.
- Completed sales
- Each resale sale with its time, section and row, through Enterprise.
- Peer rank
- Where an event's demand and price stand against comparable events: same category, same days out.
How far back it goes
Ticker keeps every Interest and Sales reading, from the first it recorded to today.
Where you read it
- On event pages in the app, on the same dates as the price chart.
- In the screener, as columns you can filter and sort the whole market on, and in saved Views that alert you when demand crosses your line.
- From your AI, with the get_event_chart tool.
- Over the API, as the interest and sales columns of the shopping routes.
Questions
- What is ticket demand data?
- Readings of how much attention an event draws and how fast its tickets move, recorded over time against its price. Ticker keeps two: Interest, how many people view an event in an hour, and Sales, how many tickets it sells.
- What does Interest measure?
- How many people are viewing an event in an hour. Read it beside the price and you see attention build.
- What does Sales measure?
- How many tickets an event sells. Compare it across events and over time, and the events climbing it are the ones heating up.
- How far back does Ticker's demand history go?
- To the first Interest and Sales reading Ticker recorded, with every reading kept from then to today, on the same dates as the price.