# Analytics

# Statistics

Navigate [Analytics]: right column [ Statistics ] to enter. It covers the statistics of sending and tracking under different filter conditions and different dimensions.

# Delivery Statistics

Mail requests, send (deliver), invalid messages (hard mail), soft and garbage reporting data.

# Tracking Statistics

Open, click, open independently, click independently and cancel subscription data of delivered mail.

Open: refers to the number of times a message is opened.
Unique Open: refers to how many recipients have opened a message, and one recipient opens the same message repeatedly, and it is counted as opening independently once.
Click: refers to the number of links in the email that have been clicked.
Unique Click: refers to how many recipients have clicked each link in the mail, and one recipient clicks the same link of the same email multiple times to calculate one independent click.

Example
Customer sent a mail to X and Y respectively and both were delivered
X has opened the  twice, and clicks the M link twice, and clicks the N link once
Y has opened the 3 times, and click the M link once and click N link twice
Open: 2 + 3 = 5 
Unique Open: 1 + 1 = 2 
Click: 2 + 1 + 1 + 2 = 6 
Unique Click: 1 + 1 + 1 + 1 = 4

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# Reception

Receiving domain: the recipient's mailbox suffix domain name, which is called the receiving domain.

For example: direction support@ifaxin.com When delivering an email, we call ifaxin.com the receiving domain.

Each receiving domain has a certain limit on the number of received mail. By viewing the data of receiving domain, users can get the sending trend and threshold limit of different receiving domains.

# Duration

The service time of triggered mail sent by the user is divided into time intervals.

Here, you can view the service time by domain name, time dimension and receiving domain respectively to fully grasp the timeliness data triggered by the email.

When the same domain name is used by triggering the mail and batch mail, the delivery time will be longer.

# Profile

Users can use tags and API_USER and request period filter, reading data includes the following three dimensions.

Statistics by regions: The geographical location distribution of email reading is provided, and the data of each country can be viewed one by one according to the world map.

Link statistics: provides daily distribution of links and clicks in the email and the link data with the top 10 clicking most.

Device statistics: provides statistics of opening devices, operating systems, wireless brands and browser distribution of the e-mail.

# Reputation

The data of credit trend of user account are provided so that users can observe the overall quality of the account.

The score is calculated in real time by sendcloud based on the user's email data

++ high quality "delivery rate", "open rate" and "click through rate" will lead to bonus points
-- a large number of "invalid addresses", "spam reports" and "unsubscribe" will result in score reduction

Note: the proliferation of "invalid addresses" and "spam reports" in a short period of time will directly lead to negative reputation, and users cannot continue to request