## 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. ✅ **This feature is only available on a Smile paid plan.**

Check out our quick video tutorial on this topic:

## Overview

What is the points performance dashboard?

Top rewards over time

Redemption rate over time

## 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

### Value generated

**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**Learn more**