Customer Profiles
The Customer Profiles report provides a detailed demographic breakdown of your shoppers. You can use these insights to tailor your product messaging and imagery to attract your most active audience.
- To begin, navigate to the Customers tab in the Vantage sidebar and select Customer Profiles.
- You will also be seeing some additional filters like Customers, GMV, Units and other filters by which you can check the details on this page.
1. Distribution Summary
You can analyze your audience through three primary distributions for any given quarter or full year.
- Nationality Distribution: Identify which nationalities are shopping for your products. This is essential for localizing promotions or tailoring product bundles to specific cultural groups.
- Age Bracket Distribution: Understand the age segments contributing to your sales (e.g., 25–34, 35–44, 45+). If 70% of your audience is under 30, consider using more casual language and lifestyle-focused creatives.
- Gender Distribution: See the percentage split between Male and Female shoppers to refine your product development and ad targeting.
2. Distribution Summary (Every Quarter)
You can also have a summary of the trend shifts for your audience on the basis of age, gender, and nationality shifts every quarter to spot emerging segments, such as a rising interest from Gen Z shoppers.
3. Geographical Area Distribution
If you further scroll down, you can also use the City View or Neighborhood View in the Geographical Area Distribution section to see exactly where your customers are located across the UAE, KSA, and Egypt. This helps you optimize logistics and regional ad spend.
Customer Loyalty
The Customer Loyalty module is designed to help you understand the loyalty of your customer base and how effectively your account converts first-time buyers into loyal fans.
- To begin, navigate to the Customers tab in the Vantage sidebar and select Customer Loyalty.
1. New vs. Repeat Customers
This section helps you track your customer acquisition and retention performance across time with a flexible definition of “New Customers” ranging from the last 30 to 365 days.
- New Customers: Shoppers who made their first-ever purchase from your account occurred within the selected window.
- Repeat Customers: Shoppers who made two or more purchases within that same window.
- GMV Breakdown: Compare the revenue generated by first-time buyers versus returning loyalists to assess the "quality" of your revenue growth.
- You can also view this information in the graphs with a month-on-month (MoM) comparison.
2. Retention & Repeat Behavior
This section in the Customer Loyalty helps you to identify critical hurdles in your loyalty funnel with these key metrics:
- Customer Retention Rate: The percentage of customers who return to make at least one additional purchase after their first.
- Repeat Purchase Rate: The overall share of your customers who have shopped with you more than once.
- Average Time to 2nd Purchase: The average time by the customer to return for a second purchase (e.g., 7 days). This helps you to better time your ad campaigns.
- You can also check these numbers (for a certain period) clearly explained on the graph for better visibility. These graphs include the Retention Rate, Repeat Purchase Rate, Time for Second Purchase, and the Purchase Frequency.
3. Long-Term Value & Purchase Behavior
This section helps you understand the lifetime health of your shoppers and allows you to justify higher marketing investments for high-value leads.
- Average Customer Lifetime: Identify the average duration a shopper remains active with your account, from their first purchase to their last.
- Customer Lifetime Value (LTV): Measure the total GMV generated per customer over their active lifespan with your account.
- Organic vs. Ads Life Time Value: Compare whether customers acquired through paid ads stay active longer or spend more than those who found you organically.
4. Cross-Category Purchase Behavior
This section helps you to understand if your customers shop in multiple categories. You can use this information to unlock cross-selling opportunities and expand your assortment into high-demand segments.
- Cross-Category Customers — This section helps you understand the percentage of customers who purchased from more than one product category
- Avg Categories Per Customer —It helps to measure the average number of unique product categories purchased per customer
- Multi-Category Revenue — This shows the GMV generated by customers who purchased across multiple categories
- Customer Distribution by Categories Purchased — Visualize how many product categories customers typically purchase from
- Top 5 Popular Categories — Identify most purchased product categories based on customer count