Use birthdates to build audiences.
Use email addresses to build audiences.
Use gender to build audiences.
Use given, full, first, last, and surnames to build audiences.
Use phone numberes to build audiences.
Use physical addresses to build audiences.
Average items intervals are calculated for 30-days, 3-, 6-, 12-, and 24-months, and lifetime.
Average order value intervals are calculated for 30-days, 3-, 6-, 12-, and 24-months, and lifetime.
Average price intervals are calculated for 30-days, 3-, 6-, 12-, and 24-months, and lifetime.
How large does your audience need to be to grow revenue in the next 30 days?
Brand purchase intervals are calculated for 30-days, 3-, 6-, 12-, and 24-months, and lifetime.
Which brands did your customers purchase?
How many items in your orders were canceled?
What is the total amount of revenue for all canceled items?
Channel purchase intervals are calculated for 30-days, 3-, 6-, 12-, and 24-months, and lifetime.
Did your customers purchase from a store? Did they purchase online?
What are the costs associated with items within a transaction?
What type of currency was used to pay for an item?
How many days have elapsed from the date on which a customer last placed an order?
Which digital channels helped drive your customer transactions?
What are the discount amounts for items within a transaction?
What are the discount percents for items and/or orders?
What percentage of first-time buyers returned to make a second purchase within 90 days?
How much time has elapsed between a customer's first order and their latest order?
How much time has elapsed between a customer's first order and their second order?
Was an item within an order canceled by your customer?
Was an item returned by your customer?
Largest order value intervals are calculated for 30-days and lifetime.
Use list prices -- manufacturer's suggested retail prices, or MSRPs -- to build audiences.
Build an audience from customers who have purchased from more than one brand.
Build an audience from customers who have purchased from more than one channel.
Identify one-time buyers, then convince them to become long-term, repeat customers.
Use order datetimes, including first, latest, and second, to build audiences.
Use order IDs, including first, latest, and second, to build audiences.
Order frequency intervals are calculated for 30-days, 3-, 6-, 12-, and 24-months, and lifetime.
How did your customer's pay for the items they purchased?
Preferred brand intervals are calculated for 30-days, 3-, 6-, 12-, and 24-months, and lifetime.
Preferred channel intervals are calculated for 30-days, 3-, 6-, 12-, and 24-months, and lifetime.
Preferred store intervals are calculated for 30-days, 3-, 6-, 12-, and 24-months, and lifetime.
Build audiences using any component of your product catalog.
Profit amounts are earned when an item or unit is sold or when a transaction is completed.
What are the total number of items in an order?
Were repeat orders made within 365 days of a customer's first or second order?
How many items in your orders were returned?
What is the total amount of revenue for all returned items?
What is the amount of revenue for an order, after discounts are applied?
Order revenue intervals are calculated for 30-days, 3-, 6-, 12-, and 24-months, and lifetime.
Analyze customer value across three dimensions: recency, frequency, and monetary.
What is the total cost of shipping all items in a transaction?
Find customers using store identifiers, including first, second, and latest.
Store visit intervals are calculated for 30-days, 3-, 6-, 12-, and 24-months, and lifetime.
What are the subtotals for items within a transaction?
The total of all discount amounts that were applied to each item within a transaction
Tax amounts are associated with the items, orders, and units in your transactions.
What is the total discount amount for an entire transaction?
Total items are associated with a customer's first, second, and most recent order.
Total item intervals are calculated for 30-days, 3-, 6-, 12-, and 24-months, and lifetime.
Who are your top N customers that are most likely to make a purchase?
If your customers return, what is their predicted average order revenue?
If your customers return, what is the predicted total value of all orders they will make?
If your customers return, how many orders are they predicted to make?
Are your customers active, cooling down, at risk, highly at risk, or lost?
How likely are your customers to return to make another purchase in the next 365 days?
To which customer lifetime value tiers are your customers predicted to belong?
When did your customers place their first orders? What did they order?
Which of your customers have not purchased a product?
Which purchased a product? What did they purchase?
Which products have your customers most frequently purchased?
Who has purchased more than once? What did they purchase?
What is the total value of orders that were made by your customers?