Having explained how to generally understand, use, and navigate through the analytics section on Gameball to learn about the performance of Gameball as a program and its influence on your business. Learn more
The Purchase Behaviour page in the analytics section focuses on how much your customers spend on your store and provides further details on your customers’ placed orders information.
Where to find the customer Purchase Behaviour analytics page?
Go to Gameball Dashboard, and click Analytics from the left bar, then Purchase Behavior.
What is the Purchase Behaviour analytics page about?
Purchase Behaviour analytics gives you insights into customer purchase habits and how Gameball directly influences their spending. You’ll find detailed data about order values, purchase frequency, lifetime value, and attributed revenue.
Here is the explanation of each piece of information on the customer Purchase Behaviour page:
Attributed Sales: total number of purchases directly influenced by Gameball.
Shows the total number of purchases that were directly influenced by Gameball campaigns and activities. This helps you measure how much of your sales are driven by Gameball rather than organic or external sources.
Attributed Revenue: total revenue generated from purchases directly influenced by Gameball.
Reflects the total amount of revenue generated from purchases where Gameball had a direct impact. It quantifies Gameball’s contribution to your business growth in terms of monetary value.
Revenue Attributed by Time: tracks the revenue directly influenced by Gameball over time.
Displays how attributed revenue changes over time. Tracking this trend allows you to understand whether Gameball’s influence is increasing, decreasing, or staying consistent during specific periods.
Revenue Contribution: a comparison of your store’s overall sales versus the portion of revenue directly influenced by Gameball.
Compares your overall store revenue with the portion of revenue directly influenced by Gameball. This view makes it easy to see how much of your total income comes from Gameball-driven actions.
AOV (Average Order Value): the average amount spent per order by customers.
Calculates the average amount customers spend per order. Monitoring AOV helps you evaluate whether Gameball is encouraging higher-value purchases and whether customers are spending more in each transaction.
Order Frequency: the number of purchases made per member over a given period.
Shows how many times a customer typically purchases within a certain period. High order frequency often signals strong customer loyalty and engagement, while lower frequency may highlight opportunities to re-engage.
ABS (Average Basket Size): the average number of items in each purchase.
Measures the average number of items customers include in each purchase. A larger basket size can indicate effective bundling strategies, cross-sell efforts, or the success of Gameball incentives in encouraging customers to add more items.
LTV Segmentation: compares customer lifetime value across different groups, such as one-time buyers, frequent buyers, and non-redeemers.
Compares customer lifetime value across different groups such as one-time buyers, frequent buyers, and non-redeemers. This breakdown helps you identify which groups contribute most to your long-term revenue and where you may need to focus retention strategies.
AOV Segmentation: shows how the average order value varies across different customer segments.
Highlights differences in spending behavior across customer groups. For example, frequent buyers may have a higher or lower average order value compared to one-time buyers, helping you tailor promotions for each group.
Order Frequency Segmentation: breakdown of purchase frequency by different customer segments.
Breaks down purchase frequency across different customer segments. This shows whether certain groups are buying regularly, occasionally, or rarely, and supports strategies for encouraging repeat purchases.
ABS Segmentation: compares average basket size across one-time buyers, frequent buyers, and non-redeemers.
Compares average basket size across different customer groups (one-time, frequent, non-redeemers). Understanding these differences can help optimize upsell or cross-sell strategies for each segment.
Transaction Volume: total number of orders or payments recorded over time.
Displays the total number of orders or payments recorded over time, regardless of their value. This helps you spot overall purchasing activity trends and assess whether engagement campaigns are driving more transactions.