Overview
On the Insights section of your Repeat dashboard, you can see data related to the overall history of your store.
About the data analyzed:
The data represented here includes all historical data for your store, but only shows data related to products that are currently active on your Online Store.
The data represented here excludes subscription data — we are only analyzing one-time purchases.
The data updates daily at 11pm PST.
Section 1: Product-Level Data
In this section, you will see data relating to specific products. This data answers the question: How often are my customers reordering my products at a per variant level?
Overview: Replenishment Intervals
A replenishment interval is the time (in days) between a purchase and a repeat purchase. In this case, we're looking at the time between purchases specifically related to a particular product/variant.
In the example below, 25% of Baja Cactus's customers who previously purchased the Face Wash - Eucalyptus reorder the Face Wash - Eucalyptus again by day 51.
product | variant | 25th percentile | median | 75th percentile | mean | customers analyzed |
Face Wash | Eucalyptus | 51 days | 74 days | 128 days | 94 days | 12,012 |
Face Wash | Lavender | 59 days | 90 days | 178 days | 121 days | 11,234 |
How to navigate this data
Column Definitions
product: Product Name in Shopify
variant: Variant Name in Shopify
25th percentile: 25% of customers have repurchased the same variant by this point
median: 50% of customers have repurchased the same variant by this point
75th percentile: 75% of customers have repurchased the same variant by this point
mean: the average overall time it takes for a customers to come back and reorder the same variant
customers analyzed: the number of customers analyzed for these calculations
Important context to keep in mind
The mean is typically not a good indicator of replenishment behavior but can provide additional context. With that in mind, we recommend giving greater weight to the quartiles (25th & 75th) and the median when gleaning insights here.
The number of customers analyzed matters — the more customers analyzed, the more accurate the replenishment intervals are. Note: variants with a low number of customers analyzed will typically have numbers that start out lower and increase over time.
Section 2: Store-Level Data
In this section, you will see data relating to all of historical data for all products currently active on your Online Store. This data answers the question: How often are my customers coming back to reorder in general, regardless of product purchased?
Overview: Overall Replenishment Interval
A replenishment interval is the time (in days) between a purchase and a repeat purchase. In this case, we're looking at the time between purchases — regardless of products purchased.
In the example below, 25% of Baja Cactus's customers purchase for a subsequent time day 51.
25th percentile | median | 75th percentile | mean |
51 days | 74 days | 128 days | 94 days |
Overview: Distribution of Replenishment Intervals (by Customer)
How to navigate the data
The numbers on the bottom represent buckets of days
e.g., 10 = 10-19 days, 20 = 20-29 days, etc.
This graph analyzes all reorders associated with a customer and then takes the average of all of those intervals
e.g., If it takes a customer 20 days to reorder the 1st time, 30 days the 2nd time and 40 days the 3rd time - this graph takes the average of those (30 days) and that would be represented in this chart in one bar — the 30-day bar.
Use cases we've heard from our customers
Bundle/product development
Bundle products together with a similar rate of consumption
Change up product sizes in order to achieve desired consumption rate
Implement consumer-friendly subscribe & save frequencies
If considering offering/altering subscription on your store, learn more about the consumption behavior of one-time payment purchasers and mirror that in your subscription offering - e.g., 45 days, 90 days, etc.
More accurately time communications via marketing channels
If you know a rough time period of when customers are repurchasing, you can better time email communications across the board. For example, if you know that only 75% of your customers have reordered the Toner by 178 days, it probably wouldn't make sense to send a winback campaign at day 100.