Purchase Intent

Basics #

The Purchase Intent section of Audience allows you to find customers with specific purchasing patterns and intent. You have several ways of choosing the products that customers should have an interest in:

• Typing with free text. This uses Clerk’s search engine to find all matching products, and creating the Audience based on those.
• Using filters to select items based on their attributes like price > 100.
• Writing product IDs separated by commas. This allows you to choose very specific products.

Interested In #

This is the most powerful feature of Audience as it uses Clerk.io’s AI to intelligently predict which customers are likely to buy the products you want to sell, even if they have not purchased anything similar yet.

It allows you to ask the question “I have these products; who wants to buy them?”.

The predictions are based on the connections Clerk.io has identified between products and orders.

E.g., if it’s common to buy strawberry-flavored protein bars with vanilla protein powder, customers labeled as interested in vanilla powder will most likely have purchased strawberry bars.

Another example could be that it’s normal to purchase Vitamin D supplements every 2 months, meaning that customers who have not bought these in 3 months will show up as interested in Vitamin D supplements.

These are just simple examples, though, as Clerk.io’s AI can spot all sorts of patterns in how your customers buy products.

Have Purchased #

This lets you find all customers who have, at some point, bought the products you define. The AI can identify this when their email address has been associated with an order that contains at least one of the products you choose.

This can be a powerful tool for finding customers for follow-up campaigns - maybe you want to target customers who bought a pair of high-end shoes, and you want to follow up with a newly released care spray that makes them last longer.

Have Not Purchased #

This lets you find all customers who have never bought the products you define. The AI can identify this when their email address has not been associated with any order containing the products you choose.

This can be great for cross-sell campaigns, especially when combined with Have Purchased logic. Maybe you want to target customers that bought a glamping tent from you, but did not yet buy mosquito repellent or a sleeping bag.

Timeframe #

Let’s you choose a time period where the customer must have the behavior you define. This can be either 1 specific day, a number of days ago, before or after a certain date, or a time between two dates.

E.g., it can be used to find customers that bought a new TV specifically on Black Friday, to follow up with another campaign.

It could also be used to find customers who did not buy a bike on a specific campaign day, to reach out and offer them a discount if they buy soon.