Report Library — Every Available Report
What is the Report Library?
Section titled “What is the Report Library?”The Report Library documents every dataset available in the Report Builder, plus the common use cases for each. Each entry lists key dimensions and measures available.
How to use this page
Section titled “How to use this page”Find the report that matches your question, then go to Admin > Reports > New Report and select that dataset.
Orders
Section titled “Orders”Use this for: Order-level summaries — total revenue, order counts, average order value, payment method breakdown.
Key dimensions: Order ID, Customer Email, Event Name, Order Date, Payment Method, Fulfillment Status
Key measures: Order Total, Fee Total, Discount Amount, Number of Tickets
Common tasks:
- Total revenue for a specific game
- Orders by payment method (cash vs. card vs. invoice)
- Outstanding invoices (filter Status = Partially Paid)
Detailed Sales
Section titled “Detailed Sales”Use this for: Line-item breakdowns — see exactly what was sold, at what price, for which event.
Key dimensions: Event Name, Product Name, Ticket Level, Section, Row, Seat, Order ID, Customer Email
Key measures: Quantity, Unit Price, Line Total, Discount, Fee
Common tasks:
- Revenue by section for a game
- All comp tickets issued (filter Unit Price = $0)
- Sales by price level
Customer Intelligence
Section titled “Customer Intelligence”Use this for: Customer-level analysis — who bought, how much they spent, what they owe.
Key dimensions: Customer Name, Email, Phone, Tags, Segments
Key measures: Lifetime Revenue, Order Count, Tickets Purchased, Amount Due (unpaid balance)
Common tasks:
- Top spenders this season
- Customers with outstanding balances (Amount Due report variant)
- Contact list for a specific event’s buyers
Inventory
Section titled “Inventory”Use this for: Capacity planning — see how many seats are sold vs. available by section.
Key dimensions: Event Name, Section Name, Price Level Name
Key measures: Total Seats, Tickets Sold, Tickets Remaining, Sell-Through Percentage
Common tasks:
- Pre-game inventory check (which sections still have seats?)
- Post-game sell-through analysis
- Comparing sell-through across games
Gate Scans
Section titled “Gate Scans”Use this for: Attendance and gate operations — who actually showed up.
Key dimensions: Event Name, Ticket ID, Customer Name, Access Point, Scan Timestamp
Key measures: Scan Count, No-Show Count
Common tasks:
- Actual attendance for a game
- No-shows (buyers who purchased but didn’t scan in)
- Peak entry time by access point
Email Campaigns
Section titled “Email Campaigns”Use this for: Marketing effectiveness — how your email campaigns performed.
Key dimensions: Campaign Name, Send Date, Segment Name
Key measures: Sent Count, Open Count, Click Count, Bounce Count, Open Rate, Click-Through Rate
Common tasks:
- Best-performing campaign this season
- Campaigns with high bounce rates (list hygiene issues)
Gift Cards
Section titled “Gift Cards”Use this for: Gift card program overview — activity, balance, redemptions.
Key dimensions: Gift Card Code, Linked Contact, Created Date, Status
Key measures: Initial Balance, Current Balance, Total Redeemed
Common tasks:
- Active gift cards and their remaining balances
- Total gift card value outstanding (liability)
Season Passes
Section titled “Season Passes”Use this for: Season ticket holder attendance and engagement.
Key dimensions: Pass Name, Holder Name, Holder Email, Event Name
Key measures: Scan Count per Event, Attendance Rate
Common tasks:
- Which season ticket holders have low attendance? (re-engagement targeting)
- Attendance per game for the season
Promotions
Section titled “Promotions”Use this for: Discount code performance — which codes are being used and how much discount is being given.
Key dimensions: Promotion Name, Promo Code, Event Name
Key measures: Redemption Count, Total Discount Given
Common tasks:
- How many times was EARLYBIRD used?
- Total revenue impact of discounts this month
Checkout Funnel
Section titled “Checkout Funnel”Use this for: Sales funnel analysis — where buyers drop off before completing a purchase.
Key dimensions: Event Name, Date
Key measures: Page Views, Sessions, Add to Cart, Checkout Started, Checkout Completed, Conversion Rate
Common tasks:
- Which games have the lowest conversion rate?
- Is our checkout completing? (high starts but low completions suggests a checkout issue)
Product Sales
Section titled “Product Sales”Use this for: Merchandise and commerce performance.
Key dimensions: Product Name, Variant, Collection
Key measures: Quantity Sold, Revenue, COGS, Margin
(Requires Commerce features — see Merchandise & Commerce)
Collected Taxes
Section titled “Collected Taxes”Use this for: Tax reporting and remittance.
Key dimensions: Jurisdiction, Event Name, Order Date
Key measures: Tax Amount Collected, Taxable Order Total
Common tasks:
- Total tax collected for the quarter
- Tax by jurisdiction for multi-region events
Ticket Transfers
Section titled “Ticket Transfers”Use this for: Secondary ticket activity — tracking tickets that have been transferred.
Key dimensions: Original Buyer, Recipient, Event Name, Transfer Date
Key measures: Transfer Count
Surveys
Section titled “Surveys”Use this for: Survey response volume and distribution.
Key dimensions: Survey Name, Event Name, Send Date
Key measures: Responses Received, Response Rate
Segments
Section titled “Segments”Use this for: Segment size and membership tracking over time.
Key dimensions: Segment Name
Key measures: Contact Count
Events
Section titled “Events”Use this for: High-level game-by-game comparison.
Key dimensions: Event Name, Event Date
Key measures: Revenue, Tickets Sold, Sell-Through %, Average Order Value
Common tasks:
- Which game had the highest revenue this season?
- Season sell-through trend
Additional datasets
Section titled “Additional datasets”The following datasets are available for advanced reporting:
- Order Items — Full line-item detail with every field
- Order Payments — Payment method breakdown and refund rates per order
- Order Lifecycle — Status changes and time spent in each status
- Order Addons — Add-on products attachment rate and revenue
- Pass Bundles — Bundle redemption detail
- Customer Orders Detail — Drill-down to individual orders per customer
- SMS Campaigns — Text message delivery and opt-out stats (available when SMS launches)
What could go wrong
Section titled “What could go wrong”- “I can’t find a dataset for what I need” — Combine two reports: export each as CSV and join them in Excel or Google Sheets.
- “Revenue in the Events report doesn’t match Orders report” — Events report rolls up by event date; Orders report rolls up by order date. Filter both to the same date range for comparison.