Under Loyalty & Retention, you can find three graphs/tables:
The Purchase Frequency graph shows how often shoppers buy in the selected category over the last 12 months. Shoppers are grouped into One-timers (1 transaction), Loyalists (2–4), and Fanatics (5+), and you can see how each group contributes to the following:
Unique Customers - the share of customers who fall into each purchase frequency group
Transactions - the share of total category transactions generated by each user type
Revenue - the share of total category revenue contributed by each user type
You can also click See Trend Over Time to view how the distribution of Unique Customers, Transactions, and Revenue has changed month by month.
Tip: Use the purchase frequency graph to understand the buying power for each customer group.
In the New vs Returning Customers graph, you can analyze the distribution of new and returning customers.
- New customers: customers who made their first purchase in the past month
- Returning customers: customers who made at least one prior purchase in the past 12 months.
The Days Since Last Purchase graph uncovers the distribution of returning customers based on the number of days since their last purchase in the selected category and domain.
Tip: Use the new vs. returning customers data to adjust your marketing strategy to different types of customers.
The Subscribe & Save vs. One-Time Purchases graph allows you to analyze subscribe & save's impact on brand and category revenues, estimate how many new customers you're losing to Amazon's subscription program, and evaluate subscribe & save's potential for your brand.
Retail Intelligence > Consumer Behavior > Loyalty & Retention
Comments
Article is closed for comments.