Recommendation system

What is a recommendation system?

A recommendation system is email marketing logic that helps decide whom to send emails to, what content would be most relevant to them, and when to send the email for the highest chance of user interaction.

A recommendation system aims to keep in touch with your users, encouraging them to engage with your product or service.

What problems does the recommendation system help to solve?

1. Excess of events on the product.

Let's say that the user of your platform receives many new messages, their page is often viewed or added to the "Favorites" list. It's clear that we shouldn't send too many emails about each of these events.

The recommendation system helps to solve this problem by selecting the most relevant event that can trigger a new email.

2. Lack of content ideas.

By building a system of sending emails to users regularly (e.g., 2 or 3 times a day), you will also save yourself from the eternal dilemma of "what to write about". After all, since the recommendation system relies solely on the user's actions or general updates according to their preferences, it will never run out of ideas.

3. Irrelevance of emails.

Thanks to the recommendation system, emails are sent not at the moment a certain event has occurred but at a time customized for the particular user.

The main advantage of the recommendation system

Personalization is definitely the main advantage of the recommendation system. Unlike campaigns that target a specific segment of your audience or all users at once, emails sent using recommendation system logic are highly effective.

The reason is that these logics are based on events or occasions, which can be used as examples:

• Actions performed by the user on the product;
• Actions of other users concerning the particular user (e.g., viewing their page on your platform or adding their profile to the "Saved" list);
• Events directly related to the user (e.g., the publication of a new book that belongs to their favorite category).

How does the recommendation system work?

1. First, the system forms a list of users to send emails to at a specific moment.
2. Then, it selects the type of email to send and makes an event-type request for the specific user to your API point.
   An event-type request is the most relevant type of email that is tied to an actual event on your product or service and directly relates to the specific user (e.g., a new like, message, friend request, etc.).
   Each type of email has its own settings (e.g., you can specify the frequency of sending it, set certain bounces or Rejects). The system always takes these settings into account and cuts off the types of emails that the user has unsubscribed from. This can be checked using the Get current unsubscribe type mails) API endpoint.
3. As a response, you need to send a request to the API endpoint for sending triggered emails with the type our system requested (e.g., the "new message" type) and fill it with personalized information. Also, the request sourceid is additionally transmitted so that we can distinguish requests initiated by us from those initiated by you.
   If a specific event is not relevant to the recipient of the email (e.g., you want to send a notification of an unread message under the "new message" type, but the user does not have any at the moment), you can send another trigger email with the same source_id.
4. Finally, the system sends the appropriate type of email to your user.
5. The graph of event requests using the recommendation system can be seen in the Analytics section of the administrative panel by selecting the "Requests" metric in the settings. In addition, you can select the "Response rate" metric and set up filters for the needed project and the desired time period.

The logic of the recommendation system

What is required from you to use the recommendation system?

1. Track, collect, and store events on your product related to the specific user OR generate events at our request. E.g., provide information about a new book in a category that the user likes but is not yet aware of;
2. At the integration stage, coordinate the list of such events with your CSM so that our system can make requests to send emails;
3. Ensure correlation between a specific type of event and the type of email we can send;
4. Connect trigger email types;
5. Create email templates for each event from the list of approved ones (optionally, this step can be performed by our team);
6. Prepare an API endpoint that will accept our API requests.

What information should you provide us with?

• Transfer such event types as "Online", "Payment", and information about other events in user_fields, as this data can be used for launching sends by the recommendation system using the API endpoint:
  https://sendios.readme.io/reference/update-online-by-user-id
• Transfer the client_user_id, using which we then make a request on the Client’s side via the corresponding API endpoint:
  https://sendios.readme.io/reference/providing-user-id-on-product

FAQ

{  
    "project_id": 123, // Sendios  
    "email": "[email protected]",  
    "type_id": 1,  
    "source_id": 1,  
    "client_user_id": 123234 // your user id on product - optional  
}

{  
    curl -X POST https://api.yourproduct.com/sendios/requestevent \
    -d '{"project_id": 123, "email": "[email protected]", "type_id": 1, "source_id": 1, "client_user_id": 123234}'  
}

If you have any questions, please contact your Customer Success Manager