PERSONALIZED EMAIL CAMPAIGN FOR REGULAR CUSTOMERS

Recommendation systems have an increasing impact on email marketing, where personalization is taken as high as possible. Bulk emails and emails segmented by few features will no longer fulfill their marketing goals in today’s competitive environment. In this case, hundreds, if not thousands, of people with different profiles will receive the same or similar product offers. However, the customer pays actual attention and makes the purchase when he receives an offer for products or services related to his interests.

Recommendation system learns from the customer’s historical buying behavior, creates a profile for the customer, and composes a personalized email for each customer with relevant offers for each of them. The solution takes personalization on the level of an individual. It’s an artificial intelligence system that enables to:

  • process information about the behavior of the customers;
  • predict products that match the user profile (which products are suitable for the customer);
  • set business-specific rules (which products can’t be recommended together, which products are subject to special rules, etc.);
  • conduct A/B testing (which recommendation model makes the best recommendations in terms of the business objective);
  • monitor the recommendation system (how customers react to the recommendation system and how accurate the system is);
  • improve the system constantly (using machine learning, the system learns to become more familiar with the customer over time and makes its recommendations more accurate).

PERSONALIZED EMAIL CAMPAIGN FOR REGULAR CUSTOMERS

Recommendation systems have an increasing impact on email marketing, where personalization is taken as high as possible. Bulk emails and emails segmented by few features will no longer fulfill their marketing goals in today’s competitive environment. In this case, hundreds, if not thousands, of people with different profiles will receive the same or similar product offers. However, the customer pays actual attention and makes the purchase when he receives an offer for products or services related to his interests.

Recommendation system learns from the customer’s historical buying behavior, creates a profile for the customer, and composes a personalized email for each customer with relevant offers for each of them. The solution takes personalization on the level of an individual. It’s an artificial intelligence system that enables to:

  • process information about the behavior of the customers;
  • predict products that match the user profile (which products are suitable for the customer);
  • set business-specific rules (which products can’t be recommended together, which products are subject to special rules, etc.);
  • conduct A/B testing (which recommendation model makes the best recommendations in terms of the business objective);
  • monitor the recommendation system (how customers react to the recommendation system and how accurate the system is);
  • improve the system constantly (using machine learning, the system learns to become more familiar with the customer over time and makes its recommendations more accurate).

If you are interested in applying AI recommendation system in your email marketing, order a free consultation by filling out the form below.

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