# Analytics The **Analytics** section in Dollarback gives you a clear view of how store credit (cashback) is issued, used, and how it impacts your store’s revenue. This article explains each metric and chart exactly as shown in the analytics dashboard. {% embed url="" %} *** ### Overview The analytics dashboard helps you understand: * How much store credit is being issued * How much customers are redeeming * How store credit drives repeat purchases and revenue * The overall ROI of your cashback program All metrics respect the selected time range (for example, last 30, 60, or 90 days). *** ### Key Metrics Explained #### Total Cashback Credited The total amount of store credit issued during the selected time frame. * Includes **all credited store credit** * Includes **bulk imports** This gives a quick sense of how much credit your cashback program has distributed. *** #### Total Cashback Redeemed The total amount of store credit that customers have redeemed in the selected period. * Includes **bulk imports** This shows how much of the issued credit has actually been used by customers. *** #### Total Transactions The total number of store credit transactions that occurred in the selected time frame. * Includes **bulk imports** This counts all credit-related activity, not just redemptions. *** #### Credit Engagement Rate The percentage of issued store credit that customers have spent so far. * Indicates how engaged customers are with their credit * Unused credit may still convert into **future repeat purchases** *** #### Store Credit Used / Revenue Generated Shows how much store credit was used by customers compared to the total revenue generated from those orders. * Excludes **bulk imports** * Example:\ Customers used **$15,000** in store credit to generate **$31,000** in revenue across **65 orders** This metric highlights how store credit multiplies revenue. *** #### Revenue Generated by Orders Using Store Credit / Total Store Revenue Shows what percentage of your total store revenue came from orders where store credit was used. * Example:\ Store credit-powered orders contributed **14%** or **18%** of total store revenue This helps measure the overall business impact of store credit. *** #### Avg Credit per Order The average amount of store credit used per order. Calculated as: ``` Store credit used in the timeframe / Total number of orders where store credit was used ``` *** #### Orders Using Credit The total number of orders that were paid for partially or fully using store credit. *** #### Credit Adoption (Orders) The percentage of orders that used store credit. Calculated as: ``` Orders using store credit / Total orders in the timeframe ``` This shows how widely adopted store credit is across purchases. *** ### Performance & Distribution Charts #### Store Credit Issued vs Used (Over Time) A time-series chart comparing: * Store credit **issued** * Store credit **used** Gaps between issued and used credit indicate **delayed repeat purchases**, showing future revenue potential. *** #### Store Credit Issued per Configuration Shows how much store credit was issued by each reward configuration. * Excludes **bulk imports** * Useful if you have multiple reward rules, products, or margins This helps identify which configurations are driving the most credit issuance. *** #### Store Credit vs Order Total Compares store credit issued against total order value over time. * Excludes **bulk imports** * Shows the effective cashback ratio * Example:\ A **9% cashback ratio** means 9% of order value was issued as store credit This varies by store depending on how much credit is being offered. *** ### Additional Sections Beyond analytics, the app also includes: * **Transaction Logs**\ A detailed view of all store credit transactions * **Scheduled Rewards**\ A list of orders with rewards that are scheduled to be issued in the future *** ### Summary The analytics section helps you: * Track how store credit is distributed and redeemed * Understand its contribution to total revenue * Measure customer engagement and repeat purchase behaviour. * Evaluate which reward configurations perform best Use these insights to fine-tune your cashback strategy and maximize ROI.