In the e-Commerce world, Average Basket Size is the average number of items sold in an order. However, this should be tracked compared to the AOV: if you are selling more items per order, then your AOV should be growing at the same rate. But there may be cases when this correlation breaks. To find out more, let's look at the Items per Basket report!
Definitions
Before you dive into data analysis, let's ensure that we are on the same page with some definitions:
Items per Basket | Average number of items per order calculated by Sum of Gross Items Sold / Number of Orders |
PoP Growth |
Growth rate of the number of items per basket against the previous period (PoP) |
Average Item Price | Average selling price per item calculated by Sum of Gross Revenue / Number of Gross Items Sold |
PoP Growth | Growth rate of the average item price against the previous period (PoP) |
AOV | Average Order Value calculated by Sum of Gross Revenue / Number of Orders |
PoP Growth |
Growth rate of the AOV against the previous period (PoP) |
The Items per Basket is shown as a combined chart followed by absolute figures. Trends get even more clear by the growth rate comparing each data point with the previous period.
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Use Cases
The great part of focusing on your customers' basket is that you concentrate on customers who already want to buy. They have come to your website with great intent; they may even have items in their shopping cart. All you have to do is help them to discover and purchase other items relevant to them.
If you focus on attracting and activating those who already shop with you, you will have fewer obstacles to overcome. Instead of spinning the wheels on the customer acquisition treadmill, the goal is to create a greater exchange of value - customers who spend more get more. Here are a few ideas on how to do so:
- Cross-Selling: Selling of a different product or bundling of complementary products to provide an additional benefit to the customer.
- Upselling: Encouraging your customers to purchase a more expensive but related product before checking out.
- Packs: Creating packs of items instead of selling multiple products separately; e.g. promoting a 3-in-1 pack of coffee beans that highlights 20% savings when compared to the price of one single package.
- Volume Discounts: Offering products at a reduced price per item when purchasing more. For example, 50% off the purchase price of a second coffee.
- Free Shipping: Introducing a policy of free shipping above a minimum purchase quantity to encourage your customers to fill their shopping basket to the extent that they receive the benefit.
- Return Policy: Rolling out a forgiving return policy, at least for the priciest items to reassure customers and boost sales.
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VIP Program: Setting up a customer loyalty program for your Top Customers to give your top customers special treatment and thereby encourage them to buy more.
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Live Chat: Offering live chat support for quick questions to eliminate any potential purchase barriers.
Also, it might be a good time to review your Discounts policy if the AOV is getting low while your Items per Basket are getting high. If you are selling too many discounted items, then it might have a negative impact on Revenue, Retention, and overall LTV.
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