The Statistics functionality allows you to track the performance of your traffic in detail.
You can access this section by clicking the "Statistics" tab in the left sidebar.

When you go to the tab, two types of statistics will be available, which can be switched using the respective buttons:

• Physical goods COD – responsible for displaying statistics for physical goods offers.
• IGAMING & BS / SP – responsible for displaying statistics for subscription and info product offers.

"Light Store" Block – Allows you to track your performance for specific goals. After completing these goals, you receive rewards in the form of Lights.

"Filtering Parameters" Block – Allows you to filter information by the desired criteria.

In the "Filtering Parameters" block, there are additional filters:
In the Analytics Filter, you can:

Sort traffic by necessary parameters by entering their values and group by them.

Select the device type

Select the offer category

Select the payment model for the offer

Select tags for the offer

In the "Sites" filter, you can filter data by a specific landing page or pre-landing. To select the correct value, you must first select the offer you're interested in.

"Data" Block – A table that displays all the information filtered according to your values.

The table is divided into several sections:

Traffic:

• Clicks (unique) – The number of unique clicks on the stream link.
• Clicks (total) – The total number of clicks on the stream link.
• Transit (unique) – The number of unique transitions from pre-landing to landing.
• Transit (total) – The total number of transitions from pre-landing to landing.
• Landing (unique) – The unique number of transitions to your landing page.
• Landing (total) – The total number of transitions to the landing page.

For the first two columns ("Light Store" and "Filtering Parameters"), the functionality is identical to Physical goods COD, but the values in the "Data" table are adapted to the traffic of the Gambling and Subscription verticals.

You can switch to this type of statistics using the respective button.

The "Data" table is also divided into several sections:

Traffic:

• Hits – The number of transitions through the stream link.
• Clicks – The number of unique transitions through the stream link.

In gambling, clicks are often equated to app installs through which traffic is generated. It’s assumed that the user installed and launched the app, and the app opened the correct landing page – thus, the click is registered in the statistics.

• Registrations – The number of registrations in the advertiser's CRM system.

Metrics:

• Click2Reg – The number of clicks for one registration. Example:

Since a click is often equated to an app install, this metric is used to assess conversion from app install to registration. A very important metric for all arbitrage marketers working with apps.
The term commonly used is "install to reg."

• Reg2CPA – The number of registrations to one paid action for CPA models. Example:

Another critical metric for arbitrage marketers – how many registered users make a deposit on gambling offers.
The term commonly used is "reg to dep" (Reg 2 Dep).

• EPC – Earnings per 1 unique click.

Since a click is considered an install, it’s the earnings per 1 app install.

This switch is available in the "IGAMING & BS / SP" statistics type.

If bound to the Lead Date:

The statistics work in the usual way – the lead is shown in the date it entered the system, without considering the registration date of the client who generated the lead. For example:

• The client registered in a casino on January 1st.
• The client made a deposit (paid action) on January 2nd.
• The statistics will show the registration on January 1st and the CPA action on January 2nd.

If bound to the Registration Date:

• This is a very convenient mode of statistics for evaluating ROI for RevShare offers.
• In this case, the leads are bound to the registration date of the client they came from.

Example:

• The client registered in a casino on January 1st.
• The client made a deposit (paid action) on January 2nd.
• The statistics will show the registration on January 1st and the paid action (CPA or RevShare) on January 1st, and January 2nd will be empty.

Why is this useful?
If a webmaster receives income through RevShare, the earnings can be stretched over time (the webmaster may receive income for a client over 1-2-3 months).

However, the costs to acquire that client were spent in a single day (e.g., today).

In this case, the webmaster will find it very useful to link all leads from that client to their registration date in the system and see how much they earned from all clients registered on that day.

When this statistics mode is enabled, an LTV column appears, showing the average revenue from one client. Comparing this with the costs for one client on that day will allow the webmaster to calculate ROI.