Using Rewards analytics to monitor and optimize your strategy

Rewards analytics in Growave provides valuable insights into the performance of your loyalty programs, helping you refine your shop’s strategy. This guide will walk you through the key features of the Rewards Analytics section and suggest how you can leverage the data for better decision-making.

You can access the Analytics section by navigating to Growave admin panel → Rewards → Analytics. Within this section, you'll find tabs for Points, Referral program, and VIP Tiers. Let’s explore each in detail.

Points

The Points Analytics section in Growave 2.0 offers a detailed overview of your points program’s performance with key metrics, including:

• Outstanding points: The total number of points earned by customers but not yet redeemed at the time of viewing the Analytics page.
• Active discounts: The number of unused discounts currently available.
• Generated revenue: Revenue generated from orders where customers applied discounts generated through the Rewards program, broken down by sales channels (if multiple channels are enabled).

• Points redemption rate: The ratio of points earned versus points redeemed for rewards.
• Discount usage rate: The percentage of issued discounts that customers have applied to purchases.

The data for Generated revenue, Points redemption rate, and Discount usage rate can be filtered by specific periods, such as the last 30, 60, or 90 days, or you can set a custom date range based on your analysis needs.

The next section includes the Activity log with information about customer activities, issued rewards, earned or deducted points, with dates.

You can filter points-related transactions by action types:

• Earned
• Redeemed
• Expired
• Refunded
• Manually added or deducted

Growave 1.0 provides a simplified view of statistics compared to Growave 2.0. It includes:

• Revenue generated through the Points program.
• The total number of points earned by customers.
• Points redeemed for rewards.

The Activity log section retains the same options as in Growave 2.0

How to use this data effectively:

• Identify trends: Monitor changes in points earning and spending to detect seasonal patterns or shifts in customer behavior.
• Optimize engagement: If points expiration rates are high, consider sending reminders to encourage redemption.
• Adjust earning rules: Review revenue generated versus points earned to determine if adjustments are needed to balance incentives.

Referral program

The Referral program Analytics section highlights key metrics to help you assess the performance of your referral campaigns:

• Generated revenue: The total revenue generated from successful referrals within the selected period.
• All channels traffic: The number of visits generated from shared referral links across all channels within the selected period.
• Referral conversion rate: The percentage of referred visitors who completed a purchase over the selected period.

Below these tiles, you will find a graph displaying the number of referral links shared versus the number of visits those links received, giving you a visual representation of referral engagement.

You can filter data for the same time frames as in the Points section (30, 60, or 90 days) or set a custom period.

How to use this data effectively:

• Evaluate campaign success: Assess how much revenue the referral program generates compared to other rewards initiatives.
• Refine referral incentives: If referral participation is low, consider adjusting rewards to make them more appealing.
• Monitor top referrers: Identify customers who refer the most new members and explore ways to recognize or further incentivize them.

Overview dashboard

The Overview dashboard provides detailed information on individual referral events. This table helps you track the status of referred customers, order completion, and rewards issued to referrers.

The log includes the following details:

• Referred customer: The email address of the customer who was referred.
• Status: Indicates whether the referral has been completed or is still pending.
• Order summary: Displays the order status and details, such as the order number and order value, if the referral resulted in a purchase.
• Sender reward: Shows the referral reward code issued to the sender (referrer). The code is clickable and leads to the relevant discount or reward page.
• Date: The date when the referral event was recorded.

You can use this information to monitor the health of your referral program, identify pending referrals, and confirm which referrers have successfully earned rewards.

How to use this data effectively:

• Track participant activity: Identify active and inactive members to better understand referral engagement.
• Analyze order impact: Measure how referred members contribute to overall order volume and revenue.

VIP Tiers

The VIP Tiers Analytics section provides valuable insights into the performance of your tier-based rewards program. It includes the following metrics:

• Customers per tier (graph): Displays the number of members that joined each tier over the past 6 months (fixed time frame).

• AOV: Shows the Average order value generated by VIP members during the selected period.
• Number of customers by tier (tiles): Displays a breakdown of customers in each tier based on the selected period.

In the Activity log section, you can sort and filter members by:

• Name or email
• Tier title
• Date joined

Use the search bar with the filter applied to find relevant customers.

How to use this data effectively:

• Evaluate tier performance: Compare the number of members and revenue generated by each tier to identify high-performing segments.
• Promote tier upgrades: Use the data to create campaigns encouraging members to move to higher tiers.
• Enhance tier perks: If a specific tier shows low engagement, consider adding more appealing benefits.

Exporting Rewards data

You can create a report for the entire Rewards program and export additional data for deeper insights.

In the Analytics → Rewards tab, click the Create a report button:

Set a period and select data types to include in the report:

The following fields are available to include in your report:

• Email
• Customer name
• Birthday
• Earned points
• Spent points
• Current balance
• Expired points
• Points expiration date
• VIP Tier
• Referrals
• Active rewards
• Issued rewards

For more details on exporting, refer to this guide.

If you have any questions or need assistance, feel free to contact us at support@growave.io or use the chat icon in the bottom-right corner. We’re here to help!