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Understanding Your Analytics Dashboard

Mage Loyalty's analytics dashboard gives you a clear picture of how your loyalty program, VIP tiers, and referral program are performing. Use these insights to make data-driven decisions and grow your business.

Written by Kris - Mage Loyalty
Updated over 3 weeks ago

Getting Started

Your analytics dashboard is split into three tabs:

  • Loyalty: Track revenue, points activity, customer engagement, and ordering patterns

  • VIP Tiers: See how customers are distributed across tiers and how each tier performs

  • Referrals: Monitor your referral funnel, top advocates, and channel performance

ℹ️ Note

All tabs support date range filtering, so you can zoom in on any time period. Charts automatically adjust their time buckets (daily, weekly, or monthly) based on the range you select.


Loyalty Analytics

Revenue Performance

This section shows how much revenue your loyalty program is driving.

  • Loyalty Attributed Revenue: The total revenue from orders placed by loyalty program members during your selected period. This helps you understand the direct financial impact of your program.

  • Loyalty Attribution Rate: The percentage of your total store revenue that comes from loyalty members. A higher rate means your program is influencing more of your sales.

  • Revenue Over Time: A chart showing how member revenue trends over time, so you can spot growth or seasonal patterns.


Points Analytics

Track how customers are earning and spending their loyalty points.

  • Total Earned: All points earned by members during the selected period, including any pending points awaiting approval.

  • Total Redeemed: Points spent by members on rewards during the selected period.

  • Outstanding Balance: The total approved points currently sitting in customer accounts across your program. This is a useful indicator of future reward liability.

  • Redemption Rate: The percentage of earned points that have been redeemed. A healthy program typically has a steady redemption rate — too low may mean rewards aren't compelling enough.

  • Redemption Rate Over Time: See how your redemption rate changes over time to identify engagement trends.


Customer Analytics

Understand your program's membership and how engaged your members are.

  • Total Customers: The total number of customers enrolled in your loyalty program (all time).

  • Program Members Added: New customers who joined your loyalty program during the selected period.

  • Active Members: Members who earned points or redeemed a reward during the selected period. This is your best measure of real engagement.

  • Participation Rate: The percentage of total loyalty members who were active during the selected period.

  • Members Added Over Time: Track how many new members are joining over time.

  • Participation Rate Over Time: Monitor whether your engagement levels are improving or declining.


Program Analytics

See which rewards and earning activities are resonating with your customers.

  • Rewards Redeemed: The total number of rewards claimed during the selected period.

  • Rewards Redeemed by Type: A breakdown of which specific rewards are most popular. Use this to double down on what's working or rethink underperforming rewards.

  • Activities Completed: The total number of point-earning activities completed by members.

  • Activities Completed by Type: See which earning rules are driving the most engagement. This helps you understand what motivates your customers.


Order Analytics

Compare the purchasing behavior of loyalty members against non-members.

  • Total Revenue Breakdown: A side-by-side comparison of revenue from loyalty members vs non-members over time. This is one of the best ways to demonstrate program ROI.

  • Average Order Value Analysis: Compare the average order value between members and non-members. Loyalty members typically spend more per order.

  • Repeat Purchase Rate: The percentage of loyalty members who made 2 or more purchases during the selected period. Higher is better — it means your program is driving retention.

  • Average Purchase Frequency: The average number of orders per active loyalty member. This tells you how often your members are coming back.


VIP Tiers Analytics

If you have VIP tiers set up, this tab shows how your tiered program is performing.

Customer Tier Distribution

  • Per-Tier Breakdown: See how many customers are currently in each VIP tier, along with the percentage of total members each tier represents.

  • Customers in Tiers Chart: A visual breakdown of your tier distribution. Ideally, you want to see customers progressing upward through tiers over time.

VIP Tier Entries

  • Tier Entries Over Time: Track how many customers entered each tier during the selected period. Each tier is shown as its own color-coded series, making it easy to see tier progression trends.

Order Analytics by Tier

This section helps you understand the value of each tier to your business.

  • Revenue by Tier: How much revenue each VIP tier is generating. Higher tiers should ideally contribute more.

  • Average Order Value by Tier: How spending per order varies across tiers. This validates whether tier perks are encouraging higher-value purchases.

  • Repeat Purchase Rate by Tier: The percentage of customers in each tier who made 2+ purchases. Higher tiers should show stronger loyalty.

  • Purchase Frequency by Tier: How often customers in each tier are purchasing. Use this to see if tier benefits are driving repeat visits.

Tip

If your highest tier isn't outperforming lower tiers on these metrics, consider revisiting your tier benefits to make them more compelling.


Referrals Analytics

Track your referral program's performance from link shares through to completed purchases.

Revenue Performance

  • Total Referral Revenue: All revenue generated through your referral program.

  • Friend Revenue: Revenue from customers who were referred (the "friends").

  • Advocate Revenue: Revenue from the customers doing the referring (the "advocates").

Referral Funnel

This visual funnel shows the journey from sharing to purchasing:

  1. Referral Traffic: Total clicks on referral links shared by your advocates.

  2. Claimed Referrals: Referrals where the friend signed up and claimed their discount code.

  3. Completed Referrals: Referrals that resulted in an actual purchase.

  4. Blocked Referrals: Attempts blocked by fraud prevention (e.g., self-referrals or existing customers trying to use a referral). If blocked referrals are present, you'll see a breakdown of the reasons.

Performance Rates

  • Claim Rate: The percentage of referral link clicks that resulted in a claimed discount. Low claim rates may mean your referral landing page or offer needs improvement.

  • Conversion Rate: The percentage of claimed referrals that resulted in a completed purchase. This measures how effective your referral offer is at closing sales.

Acquisition Performance

  • New Customers Acquired: First-time customers who purchased through a referral.

  • Friend Discounts Issued: Total discount codes created for referred friends.

  • Advocate Rewards Issued: Total reward codes given to advocates for successful referrals.

Share Channels

See how your advocates are sharing their referral links. Channels include X/Twitter, Facebook, WhatsApp, Email, SMS, Copy Link, and Direct Link. This helps you understand which platforms your customers prefer, so you can optimize your sharing options accordingly.

Signup Sources

While Share Channels shows how links are shared, Signup Sources shows which channels actually drove conversions. Use this to identify your highest-performing referral channels and focus your efforts there.

Top Advocates

A table of your most successful referrers, showing:

  • Advocate name and email

  • Number of referrals: How many people they've successfully referred

  • Revenue generated: Total revenue from their referrals

Tip

Use this to identify your best advocates and consider rewarding them with extra perks or VIP status.


Tips for Getting the Most from Analytics

  1. Check weekly: Review your dashboard at least once a week to catch trends early.

  2. Compare date ranges: Look at month-over-month or week-over-week changes to understand what's working.

  3. Watch your redemption rate: If points are being earned but not redeemed, your rewards may need to be more attractive or easier to use.

  4. Track member vs non-member revenue: This is the clearest proof of your loyalty program's value.

  5. Monitor tier progression: Customers moving up through VIP tiers means your program is successfully driving repeat behavior.

  6. Identify top advocates: Your best referrers are your most valuable customers. Keep them engaged.


🗨️ Still need help or can’t find the answers you’re looking for? Reach out to the Mage Loyalty team through our live chat support.

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