Within this article you will find sub-modules of the Customer Module. Next, we explain each of these and how they can help you analyze your users.
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It is important to mention that the Customer Module will be activated if you have a database that is registered in Platform. And in the case of OTTs, the associated transactions and content consumption of those users are stored.

We can see the information of registered users:
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Clicking on this option displays basic information on registered users such as their database registration status, name, surname, email, country, social networks, creation date and actions (Live consumption history).

We can filter if we want to search for a specific user and for this we can search by email:
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Where you can make filters by name and surname, email etc. You can also download the report in a .csv file with the information that was generated at the time of user registration.

Here we can see the basic information such as Name, Surname, email, among others:

Here we have information about the location
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If you have a social network linked
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Where you have information for example about the favorite team, date of birth, among others:

Changes can be made in these fields and for the changes to be effective, click Save Changes:

We also have the option to delete the user:
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In the Actions section - " View History " we can access the Live session and consumption record, for example in the OTT. At this point, we can observe the user's consumption as from which device was connected, isp, among others.

By clicking on the name we can access the user's information:

If a payment gateway is integrated, within each user record we can see the information in the Purchases area . In each Purcharse we can see the associated payments.

Finally we have a history of the last five sessions, where we can see data such as date, ip, country and browser:

The Coupons sub-module allows generating transactional accesses or not within the OTT platform:
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The first thing to do is create a Coupon Group
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To create a new group we must assign the Name that identifies the type of coupons that we will create. For example, Marketing, Reward, Internal Customer or others.

When we have created the groups we will have a list and it shows us information such as creation date, name, total coupons and if it is used or not, to view or create the coupons we click on the name
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Upon entering the created group, we have the option to create a coupon:
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And in the next window, we can configure the coupon:

Once the parameters of our coupon have been added, we generate it so that it can be enabled and ready for use by clicking on:

We have the option of looking for our coupon in the coupon " Search " or a group of coupons:

If you do a coupon search, it will tell you if it was used or not and by whom:

If we want to carry out a more specific search for a coupon group, we can click on " Advanced ":
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The Payments sub-module allows you to view the information provided by the payment gateways associated with the transactions:

If you click on any of these elements, the details of the transaction will be displayed:

The Customer Analytics sub-module will allow you to review user analytics regarding registrations, activations and purchases. The first information is fixed that is updated according to the established parameters.
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In addition, you have the option to filter for a time (custom range) to be able to make queries that will be reflected in the subsequent graphs:

In the following sections you will be able to analyze:

In the Subscriptions section, you will be able to analyze the purchases made by users and purchasing behavior to determine what type of subscription has been the most acquired by your users in a certain time.

In the Purchase by Country section, you will be able to analyze which country your users' purchase comes from.

The Customer Churns section is the percentage of customers who stopped paying for the product or service:
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The Financial Analytics sub-module will allow you to review the accumulations of the purchases made by your users in a certain time. The first information is fixed that is updated according to the established parameters.
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In addition, you have the option to filter for a time (custom range) to be able to make queries that will be reflected in the subsequent graphs:

In the following sections you will be able to analyze:

Important: The data and graphs vary according to the time filter that you want to apply.

In the Payment Method section, you will be able to analyze the different payment methods that users have used.

If you have any related questions please do not hesitate to write to us through the chat.

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Atte. The Mediastream Team