Most frequent order

Most Frequent Order returns the products that each of your customers ordered most frequently during your chosen date range and at the frequency you have defined. For example, return a list of customers whose most frequent purchase within the last 30 days was tacos:

Important

You must choose at least one product attribute – category, subcategory, description, or gender – and/or a store ID.

After you choose at least one product and specify a date range you may apply filters to associate your customers orders with specific products, brands, channels, and stores. For example, return a list of customers who most frequently ordered deluxe tacos in Goleta, CA.

What are purchase behaviors?

Purchase behaviors are a feature of Amperity that are built on top of standard output for transactions (purchases and items). Purchase behaviors require standardized product catalog field names to be present in your standard output for transactions.

Use purchase behaviors in segments to return a list of customers, and then filter that list of customers by any combination of brand, channel, individual items in your product catalog, and store.

Purchase behaviors are available for first purchase, has not purchased, has purchased, most frequent order, repeat purchase, and total value of orders.

How most frequent order works

Most Frequent Order represents a common approach people use when they build segments: figure out what your customers purchased most often within a certain time window, and then associate that list of customers to your marketing campaigns.

Most Frequent Order is a compound attribute, which means that it’s built from a combination of attributes that already exist in your data, and then appears as a single attribute that you can choose from the Segment Editor.

With this attribute, you can focus less on SQL and more on finding answers that align to your marketing goals and strategies. Purchase behavior attributes simplify the number of steps that are required to associate a list of customers to your products, stores, channels, and brands.

Tip

For more information about how Most Frequent Order works, including an explanation of the SQL that runs behind the Segment Editor, review the Most frequent order topic in the Amperity A-Z reference.

Use most frequent order in a segment

You can add the Most frequent order purchase behavior to a segment from the Segment Editor. Click Add condition, choose Purchase behaviors, and then select Most frequent order.

After the Most frequent order purchase behavior attribute has been added, select an operator, and then finish defining the conditions for how this attribute should be applied to the segment.

Example: Who likes to buy shoes?

In the following example uses Most Frequent Order to return a list of customers who have frequently purchased your brand of women’s shoes from your store:

Available conditions

The following table lists the operators that are available to this attribute.

Note

Recommended operators for this attribute are identified with “ More useful” and operators with more limited use cases are identified with “ Less useful”.

Condition	Description
was after	More useful Returns a list of customers whose most frequent order was after the specified time window.
was before	More useful Returns a list of customers whose most frequent order was before the specified time window.
was between	More useful Returns a list of customers whose most frequent order was between two specified time windows.
was not between	Returns a list of customers whose most frequent order was not between two specified time windows.
was not on	Returns a list of customers whose most frequent order was not on the specified time.
was on	Returns a list of customers whose most frequent order was on the specified time.

Filter attributes

A filter attribute is a standard column that is output by Amperity and is available from the Unified Itemized Transactions table. When a filter attribute is associated with a purchase behavior attribute, you may use them to filter the results by specific items in your product catalog, such as by brand, by channel, by store, or by specific details about the items in your product catalog, such as color, SKU, and so on. The list of filter attributes that will be available for product catalogs depends on their availability within your Unified Itemized Transactions table.