Points analytics in Growave (Growave admin → Analytics → Rewards → Points) gives you a detailed view of your Points program performance. Use it to track earning and redemption trends, measure customer engagement, and optimize your rewards strategy.
Key benefits / use cases
See total outstanding points and understand your program’s potential liability.
Track revenue impact from redeemed points and discounts.
Compare redeemers vs. non-redeemers to measure loyalty influence.
Identify underperforming rewards and adjust for higher engagement.
Spot seasonal trends or shifts in participation over time.
Key metrics overview
The Points analytics section includes the following key indicators. You can filter them by the last 30, 60, or 90 days, or choose a custom range (click the date picker, enter the date range manually, or use the calendar to indicate the start and end dates).
Metric | Description |
Outstanding points | Total points currently held by customers that haven’t yet been redeemed. |
Active discounts | Currently valid discounts generated by all Rewards programs. Includes discounts that are still within usage limits. |
Earned points | Shows the total number of points earned within the selected period, including any points increased by VIP tier, Birthday, or Boost campaign multipliers. Points displayed here are not reduced when orders are refunded or cancelled. Resetting points does not affect this metric — it continues to show historical earnings. |
Tier multiplier points | Total number of points earned within the selected period with a VIP tier multiplier applied. This metric includes both transactional (orders) and non-transactional earning rules (e.g., Follow on Instagram) if a VIP tier multiplier was active at the time of earning. |
Birthday multiplier points | Total number of points earned within the selected period on orders placed on the customer’s recorded birth date with a Birthday multiplier applied. |
Boost campaign multiplier points | Total number of points earned within the selected period on orders placed with a Boost campaign multiplier applied. |
Generated revenue | Revenue generated from orders where discounts from Points, Referrals, and VIP Tiers were applied, broken down by sales channels: online store, POS, and others. |
Points redemption rate | The ratio of points redeemed to points issued within the selected time range. |
Discount usage rate | Percentage of issued discount codes that were actually used at checkout. |
Rewards usage breakdown
This section analyzes how each reward contributes to customer engagement and revenue. A visual chart and data table help you assess performance.
Column | Description |
Reward title | Names set in the Title field of the reward rule, including those created under Ways to earn, Ways to redeem, Referrals, and VIP tiers (e.g., Leave review, Percentage discount, Free product, Referral reward, Gold tier, etc.). |
Reward value | Value of the reward for the customer (e.g., $4.99, 100%). |
Rewards generated | Number of times this reward was issued. |
Rewards used | Number of times this reward was successfully applied to orders. |
Usage rate | Ratio of rewards used vs. generated, showing how likely customers are to redeem this reward. |
Generated revenue | Total revenue from orders where this reward was used. |
📘 Note
If a reward rule was modified during the selected date range (e.g. changed from a points reward to a percentage discount or free product), the table will display it as separate entries, each with its own reward value and stats. This allows tracking performance for each version of the reward rule.
Participation rate
This section helps you monitor how actively your customers are engaging with your loyalty program over time (maximum date range — 1 year).
Metric | Description |
All customers | Total number of customers who placed at least one order during the selected period. |
Redeemers | Customers who redeemed points at least once during or before the selected period. |
Participation rate | Percentage of redeemers among all active customers during the selected month. |
Redeemers vs. non-redeemers
Understand how redemptions affect customer behavior by comparing key metrics across both groups.
Metric | Description |
Unique customers | Number of customers in each group (redeemers and non-redeemers) who placed at least one order in the selected period. |
Average purchases | Average number of orders per customer in each group. Calculated as the total number of orders divided by the total unique customers. |
Repeat purchase rate | Percentage of customers who placed two or more orders during the selected period. |
Average order value (AOV) | Average value of all orders per group. Calculated as total order value ÷ number of orders. |
Activity log
The Activity log provides a comprehensive timeline of all customer interactions with your Points program within the selected date range. You can monitor issued rewards, points, and store credit balance adjustments, as well as specific customer actions.
This section displays the following data:
Customer: The name of the user who performed the action. You can click the customer's name to be redirected to their full profile in the Customers section.
Action: The specific event that triggered the log entry (e.g., Placed order, Left review, Signed up, or Reward for past action). This column also displays:
The specific sales channel (e.g., "Shopify POS") for orders placed outside the Online Store. Orders from the Online Store do not display a sales channel label.
A clickable order number for "Placed order" events, leading directly to the order in Shopify.
A (Refund) mark if the reward was returned.
Reward: The specific reward claimed. You can click the reward code to open a pop-up with detailed discount information.
Balance: The number of points or store credit added (+) or deducted (-) from the customer's account.
Date: The date when the activity occurred.
Searching and filtering
You can locate specific transactions using the search bar or by applying advanced filters.
To search for a specific customer:
Navigate to the Analytics section and scroll to Activity log.
Click into the search bar.
Enter a User name, E-mail, or Phone number.
To filter by action or discount code:
Click the Add filter + button located below the search bar.
Select the type of filter you wish to apply:
Action type: Filter by specific balance movements, including Earned, Redeem, Expired, Refund, or Manual adjustments.
Discount code: Enter a specific code to see which customer used it and when.
📘Note
The "Manual" action type displays points manually added or deducted by a shop admin via the Customers section.
Exporting points data
If you need a deeper analysis, you can export your Points program data:
On the Rewards analytics page, click the Create a report button.
Choose a quick range (30, 60, 90 days) or a custom date range.
Enter your email and select the data fields to include, such as Email, Customer name, Earned points, Spent points, Current balance, Expired points, etc.
After generating the report, you will receive an email with a link to download a CSV file for analysis in Excel or other tools.
📖 Learn more about exporting Loyalty and Rewards data
Differences in Growave 1.0
If you're using Growave 1.0, the Points analytics dashboard includes fewer metrics:
Sales generated throughout the Rewards programs.
Total number of points earned by customers.
Points redeemed for rewards.
Activity log (same structure as 2.0).
If you need help interpreting your analytics or adjusting your Rewards setup, reach out to us at [email protected] or use the chat in the bottom-right corner of your admin panel. We’re happy to help! 🤗