Enabling predictions

To be able to create predictions, you must enable them first.

Enabling Lookalikes


The Lookalikes model allows you to compare two groups (source and target) and search the target group for customers whose behavior is predicted to be similar to those from the source group.

Prerequisites:

  • A product feed must be configured.
  • Transaction events must exist in the system.

To enable this prediction model:

  1. Go to Settings > AI Engine Configuration.
  2. Click the Predictions tab.
  3. In the Lookalikes section, click Define.
  4. Switch the toggle to Enabled.
  5. In the Events section, select at least one event which the model will use for the training and for scoring the customers.
    Configuration of the Lookalikes model in the item feed
    Configuration of the Lookalikes model in the item feed
  6. Confirm the settings by clicking Apply.

After enabling the Lookalikes module, you must wait 2-3 hours for the model to become ready. After that, you can create the first lookalike prediction.

Tip:

You can get inspired by uses cases with the Lookalikes model:

Enabling Custom Predictions


The Custom model allows you to create two types of predictions, which differ in terms of the result types.

  • You can create a prediction that produces a numerical value, it works best with forecasting customer LTV or the number of purchased products.
  • The other type produces true/false values, which is best used to answer yes/no questions, such as “will this customer leave next month?”

To enable this prediction model:

  1. Go to Settings > AI Engine Configuration.
  2. Click the Predictions tab.
  3. In the Custom section, click Define.
  4. Switch the toggle to Enabled.
  5. In the Time shift section, define three time ranges for later selection in the settings of a single prediction as the How many days in advance do you want to make a prediction? option.
    WARNING: Editing time ranges will be impossible after you click Apply.
  6. Optionally, in the Custom events section, you can add custom events which will be analyzed by the model while calculating the results of a prediction.
  7. Confirm the settings by clicking Apply.
    Configuration of the Custom model in the item feed
    Configuration of the Custom model in the item feed

After enabling the Custom model, you must wait 2-3 hours for the model to become ready. After that, you can create the first custom prediction.

Tip:

You can get inspired by uses cases with the custom model:

Enabling Propensity Predictions


The Propensity model allows you to create predictions that predict the likelihood of a purchase of specific items for a defined group of customers.
Following the instructions below, you will enable the model in an item feed settings.

  1. Go to Settings > AI Engine Configuration.
  2. In the list, click the item feed for which you want to use Propensity predictions.
  3. At the bottom of the page, on the Propensity tab, click Show.
    Configuration of the Propensity model in the item feed
    Configuration of the Propensity model in the item feed
  4. Switch the toggle to Enabled.
  5. Confirm the settings by clicking Apply.

After enabling the Propensity module, you must wait 2-3 hours for the model to become ready. After that, you can create the first propensity prediction.

😕

We are sorry to hear that

Thank you for helping improve out documentation. If you need help or have any questions, please consider contacting support.

😉

Awesome!

Thank you for helping improve out documentation. If you need help or have any questions, please consider contacting support.

Close modal icon Placeholder alt for modal to satisfy link checker