Predicted lifecycle status

Predicted lifecycle status represents the likelihood to purchase again, grouped by tiers: “active”, “cooling down”, “at risk”, “highly at risk”, and “lost”. These tiers are used for two types of customers: repeat customers and one-time buyers.

Repeat customers

For repeat customers, lifecycle status groupings use the following thresholds:

  1. A repeat customer with an “active” lifecycle status has a greater than 60% likelihood to purchase again.

  2. A repeat customer with a “cooling down” lifecycle status has a 50-60% likelihood to purchase again.

  3. A repeat customer with an “at risk” lifecycle status has a 35-50% likelihood to purchase again.

  4. A repeat customer with a “highly at risk” lifecycle status has a 20-35% likelihood to purchase again.

  5. A repeat customer with a “lost” lifecycle status has a less than 20% likelihood to purchase again.

One-time buyers

For one-time buyers, lifecycle status groupings use the following thresholds:

  1. A one-time buyer with an “active” lifecycle status made a purchase within the last 60 days.

  2. A one-time buyer with a “cooling down” lifecycle status made a purchase 60-120 days ago.

  3. A one-time buyer with an “at risk” lifecycle status made a purchase 120-180 days ago.

  4. A one-time buyer with a “highly at risk” lifecycle status made a purchase 180-240 days ago.

  5. A one-time buyer with a “lost” lifecycle status made a purchase more than 240 days ago.

Use in segments

To find predicted lifecycle status, start with the Predicted Customer Lifecycle Status attribute in the Predicted CLV Attributes table, and then select the is in list condition. After the attribute appears in your segment, set the list values to include all of the thresholds you want to use in your segment.

Choose the predicted lifecycle status attribute from the Segment Editor.

Choose the is in list attribute, and then set predicted lifecycle status to active, at risk, and cooling down:

The is in list condition for predicted lifecycle status.

Note

Predicted lifecycle status is available to users of AmpIQ when predictive modeling is enabled for your tenant.

Available conditions

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

Note

This attribute has a String data type. All String data types share the same set of conditions. Recommended conditions for this attribute are identified with “  Recommended” and conditions with more limited use cases are identified with “  Not recommended”.

Condition

Description

is

  Recommended

is to return an audience that is associated with the specified lifecycle status. For example, “active” will return “active” and not “cooling down”, “at risk”, “highly at risk” or “lost”.

is blank

is blank to return an audience that is not associated with any lifecycle status.

is in list

  Recommended

is in list to return an audience that matches the lifecycle status options that are selected from the list.

For example:

The is in list condition for predicted lifecycle status.

is like

is like to return an audience that is associated with any lifecycle status that shares the same set of specified characters.

is not

is not to return an audience that is associated with any lifecycle status that is not the specified product category.

is not in list

is not in list to return an audience that is not associated with any lifecycle status in the list.

is not like

is not like to return an audience that is not associated with any lifecycle status that shares the same set of specified characters.

is not blank

is not blank to return an audience that is associated with any lifecycle status.

is not NULL

is not NULL returns customer records that have a value.

is NULL

is NULL returns customer records that do not have a value.