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Points program performance explained
Points program performance explained

Understand the metrics in the Points analytics dashboard

Karen F avatar
Written by Karen F
Updated over 6 months ago

Introduction

This article will cover what metrics are in the points program performance dashboard, how each metric is calculated and what they mean in regards to the performance of your program. βœ… This feature is available on the Starter plan and up.

Overview


What is the Points analytics dashboard?

The Points analytics dashboard tells you everything you need to know about the health of your points rewards program. With these insights, you will be able to make effective changes and iterations to your program.

Overview metrics

Sales Influenced

What it is: shows the dollar value of all orders made with coupon codes that were purchased with points.

Note: this is a very conservative estimate of the value generated because we are only including orders placed using a Smile generated coupon code. Orders using a gift card reward or POS reward will not be counted in this metric.

Why it matters: this metric will give you a conservative estimate of the dollar value generated by your points program.

Redemption rate

What is it: shows the total number of points spent divided by the total number of points earned over the life of your program. Total points spent are points spent on rewards such as a discount code or free product.

Note: manual points adjustments are excluded from these totals.

What it means: your redemption rate is important because it tells you how invested your customers are in your program. The higher the rate, the more value your members are seeing, increasing their desire to continue participating.

Points outstanding

What is it: shows the total number of points that have not been redeemed for rewards.

What it means: this helps you understand how many points are currently in circulation and still need to be redeemed. If this number is extremely high, try adjusting how many points customers need to redeem your rewards or add a new reward to tempt them to redeem points quicker.

Points volume over time

What it is: shows the total number of points transactions that have occurred in a given time period. These transactions are broken down into four types:

  • Points earned

  • Points spent

  • Points expired

  • Points adjusted

Points adjustments will show up on the graph as a net value. This means that if you give out 5,000 points and take away 3,000 points, this will show up as a positive 2,000 points on your graph.

You can choose to view these results for the past 30 days, 60 days, or 90 days.

What it means: this graph is a great way to determine how recent marketing efforts are performing. Whether it's a bonus points event, email marketing campaign, or new rewards announcements, this chart is your go-to for measuring the effects on points activity.

Top rewards over time

What it is: shows you which rewards have been redeemed the most often and how many times in a given time period.

These results will be shown using the same date range selected for your Points volume over time.

What it means: this graph gives you a birds-eye view of which rewards your customers like best by showing you how often customers are redeeming each of them. This is the best way to monitor how customers are accepting new rewards.

Redemption rate over time

What it is: shows the total number of points spent divided by the total number of points earned in a given time period. Total points spent are points spent on rewards such as a discount code or free product.

These results will be shown using the same date range selected for your Points volume over time.

What it means: your redemption rate is important because it tells you how invested your customers are in your program. The higher the rate, the more value your members are seeing, increasing their desire to continue participating. This graph gives you a more accurate picture of how well you're program is performing day-to-day.


What's next?

Performance overview explained
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