This quick guide will help you get familiar with the Sales section of the platform and how to use it effectively.
The Sales section is your central purchasing hub.
Use the reporting section to get high-level insights about your data & how it’s interconnected, while also understanding how your data is organized. Hone in on ticket analytics, find correlations between purchasers & affinity, compare sales between two promotional periods, and dive deeper into fan purchases.
Section 1: Ticketing Analytics
Find this section under Sales>Reporting>Analytics.
This is where you go to learn more about your overall sales, the demographics of purchasers & how purchases between venues, events or artists are related. This is also where you can send data through to your Tableau, Google Data Studio or Microsoft Power BI integrations to create valuable data visualizations.
Common Use-Cases
1. Uncovering how your data is interconnected: If your account has a lot of diverse data, it’s a good idea to see exactly how & where your data is connected. For example, let’s say you have an artist called “Bardi C,” and you also have purchasing data from one of your sponsor events; is there overlap between affinity for this artist and this sponsor event? How about between specific events, artists and venues? Use Analytics to uncover this.
Pro Tip: To effectively use the analytics function, make sure that you create & understand your naming conventions for events, venues and artists. While we as humans might recognize that “Alix Goodwin Hall” and “ Alix G. Hall” are the same venue, our platform does not.
2. Deep analysis of specific purchases/ticketing data: You’re honed in and focused on one specific event, artist or venue - not a worry. Streamline your search by inputting exactly what you want to see.
Pro Tip: Reading data is like reading the dictionary - you need to know where to start. We recommend that before you dive into ticketing analytics, you have a somewhat clear idea of what parameters you want to search for, and why. For example, are you just looking to see how many tickets-buyers were from outside of North America, or do you want to see which correlations are strongest between your artists?
Now that you know exactly what you can do, and have an idea of what insights you want to uncover get started by pulling an analytics report:
Section 2: Data Cube
Find this section under Sales> Reporting> Data Cube. You can also jump to it right from the Sales tab in the Manage Centre.
Data what? The Data Cube is your all-encompassing tool to see all of your ticketing fields, including venue, price-code, date, source (i.e. where your purchasing information came from) and more.
Common Use-Cases:
- You want to know your price codes
- You want to check whether your tickets are coming in
- You’re in search of a specific purchasing detail, and want to filter down
Get started with Data Cube by learning how to pull the information you want:
Section 3: Compare
Find this section under Sales>Reporting>Compare
This section is where you can track against historical performance. Use the compare section to compare sales, ads, ad results and tracker stats across different periods and/or events & venues.
Common Use-Cases
1. Uncovering year-over-year insights:
You’re only as good as the data you have around you. With Compare, you have a breadth of data to choose from, including historical data that lets you look at all of your stats holistically. For example, let’s say that your ad performance is down, but overall sales are up. How are your ads influencing sales? Looking at your data holistically will help you figure out what’s going on.
2. Measuring campaign/ad/sales performance against a historical benchmark:
Use previous years’ performance as benchmarks to see what efforts are pulling their weight, and which seem to be underperforming.
Get started with Compare by learning how to run a comparison report:
Section 4: Fan Purchases
Find this section under Sales>Reporting>Fan Purchases
This section is where you can find out what a particular group of fans has purchased. Use the fan purchases section to hone in on one of your FanCRM audiences (by tag, filter or snapshot) and analyze their purchases based on artist, venue, event date and more.
Common Use-Cases:
1. Viewing Purchases in a fan-driven way:
Your ecosystem likely starts with your fans, but to create a targeted fan journey, you need to unearth more information. Using fan purchases, you can drill down on an audience to understand their specific purchasing behaviour and preferences for certain artists/events. Perhaps you uncover an opportunity for upselling or peripheral artists/events that would likely make sense based on their past purchasing experience.
2. Monitoring your “Graduation Journey”:
You may have an expected “graduation journey” for your fanbase ( i.e. From GA > GA+ > VIP, or Game 1 > Game 2 > Game 3) and want to know what happened to the fans that “didn’t graduate” according to your expectations.
Get started with Fan Purchases by learning how to analyze fan purchases:
Once you understand the How to of the reporting section, you can focus on ensuring you have Clean Data. To dive deeper into what clean data is, and how you can ensure it within the Tradable Bits Platform, read more about Sales > Cleanup in our Sales Cleanup Help Guide.