Improve predictive scoring by enabling intelligent field augmentation

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Important

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Users by admins, makers, or analysts Aug 1, 2021 - Oct 1, 2021

Business value

Organizations collect a vast amount of CRM data as part of their regular course of business. This data becomes a powerful source of insight when used to train an AI predictive scoring model. Certain attributes may have key values that, when recognized by the model, can further its efficacy and exclude confounding data points. Using field augmentation, you can identify the fields and key values for training the AI model, such as whether a customer is new or returning, an email is legitimate or fake, recent activity, phone number length, and more.

Feature details

As an administrator, you can select an attribute as an augmented field from the edit fields page. Using field augmentation, you can identify the fields and key values for training the AI model. Field augmentation could include:

  • Whether a customer is new or returning.
  • Whether an email is legitimate or fake.
  • Recent activity.
  • Phone number length.
  • Private or public email domain.
  • Contact ID.

See also

Select intelligent fields (docs)