Analytics and Statistics in Salematics

Get started with reports #

The assigned manager should regularly check the statistics of his clients. The analysis is necessary to track their progress, prevent critical situations, and minimize financial losses. Familiarize yourself with our Statistics section, and after that, you will be able to find all detailed datа you need.

Pay attention to the filters for reporting at the top of the screen. The first drop-down list Statistical group has four blocks:

1. Publisher
   Here you can select a specific publisher, type of ad inventory, ad inventory, and PUB-manager (responsible for a particular publisher).
2. Advertiser
   This block consists of the following fields: an advertiser, offer, campaign, type of promo, promotional materials, and ADV-manager (responsible for a particular advertiser).
3. Traffic
   It is a block to tick the appropriate affiliate programs to which publishers and advertisers are assigned.
4. Showcase
   It allows you to choose a campaign and set up revenue accounting from the showcase. You can read more about this block in a separate article (coming soon).

Let’s take a closer look at the Filters, using a specific example. Suppose you are interested in the Directlink type of promo. Select Directlink in the block Advertisers – Types of promo materials and click the Show button.

The platform generates a report on directlink. The line Types of promo materials located at the top of the page displays the applied filter. You can reset it by clicking on the x. Do it, and you will return to the primary data.

There are two more noteworthy fields: Period and Compare with. These filters can help you to find information for the specific time range and compare it with another one.

Our platform generates reports on the days, weeks, months, countries, and devices that you are interested in, using the filters Group by date, Country, and Devices.

The + button located near each date allows you to see a detailed report on the required parameters.

The + button works as follows. Let’s say you want to check statistics on the specific publisher. Click on the + next to the chosen date and drill down into Webmasters.

The platform will generate a statistical report. It will consist of all publishers working with the system.

Let’s consider another situation. Assuming you need to get data on a specific publisher over a long period. Take a look at the publisher with ID 34605. Сlick on the funnel icon next to him in this group.

You will receive statistics on the selected publisher for a time range specified in the Period field.

You can find the same information on the publisher using the Filters. Type his ID or name in the field Publisher and click the Show button. You can set the time range in the appropriate field.

Analysis of statistics #

Now let’s look at the metrics in the statistical table. We will also talk about the methods of their use in analyzing the current effectiveness of the project or the publisher. As an example, consider the generated report of the same publisher.

In the Shows column, you can see the number of his ad impressions. Move the cursor to one of the impression values, and a tooltip will appear:

• Shows with losses
  This is exactly the number of shows that the publisher and the responsible manager will see. You can set the percentage loss (Loss,%) in the publisher or ad inventory’s settings.
• Pages
  It shows the number of JS-code loads for the inventory, which simultaneously places a large amount of advertising (Adstructor). For example, the code was loaded 1 time. It placed 8 teasers and 1 banner. As a result, there will be 1 page and 9 impressions.

The Clicks column shows the number of clicks from impressions. In our case, the total number of advertising impressions (Total) is 62,156, and the total number of clicks is 62,156. The average CTR is 100%. You can see it in the column of the same name.

If you place a cursor on the Clicks or CTR, you will see the following hint: Clicks with losses and CTR with losses. Their value is similar to previously mentioned Shows with losses.

The column Conv. shows the number of conversions for the selected time range. If you place a cursor on the numerical value, a tooltip will appear:

• Actions is the number of target actions.
• Conver. is the sum of conversions for the current day and those that have been completed earlier, but assigned to this day.
• WM Conver. shows the number of conversions for which publishers will receive money.
• R Conver. is the number of conversions for the current day.
• R F Dep is the sum of the first conversions from unique click_id for the current day.

If R Conver. exceeds R F Dep, this is a signal of an error in integration with the advertiser.

CR displays the percentage of users who have completed a target action. A hint contains the following information:

• CR based on Conversion shows the sum of conversions for the current day and those that have been completed earlier but assigned to this day. Their sum is divided by the number of impressions and multiplied by 100.
• CR based on WM Conversion — WM Conver. is the number of conversions for which publishers will receive money, divided by the number of impressions and multiplied by 100.
• CR based on R Conversion is the number of conversions for the current day, divided by the number of impressions and multiplied by 100.

The Payin FC column shows the commission earned by your affiliate program for the promotion of advertiser’s offers. Profit FC is equal to the commission minus Payout. This is the amount of profit. If you add up the numbers from the Payout and Profit FC columns, you will get the metric Payin FC.

Move the cursor to the numerical values of the columns, and you will see the following infotips:

• Payin FC
  • Self payin. Here you can check earnings from campaigns that receive direct traffic.
  • Pending payin. In this column, you can see earnings from conversions, not confirmed by advertisers.
  • Arbitrage payin. This column shows earnings from the campaigns on the showcase (arbitration campaigns).
• Payout
  • Self payout. Here you can find information about payouts from campaign revenue. This refers to the companies that receive direct traffic.
  • Pending payout. This column shows an outstanding amount because advertisers haven’t yet verified revenue from conversions.
  • Arbitrage payout. Here you can see the payments you made on income from the campaigns on the showcase (arbitration campaign).
• Profit FC
  • Pending profit. This is the expected revenue from conversions that advertisers have not yet confirmed.

The Statistics section also contains other metrics:

• ROI is a measure of return on investment in percentage.
• In eCPM is your cost per 1,000 ad impressions.
• Out eCPM is the amount you paid for advertising. Move your mouse over one of the criteria in the column, and you will see Out eCPM with losses. It indicates the amount paid for advertising, including insurance.
• Affluence is the number of unique visitors in percentage terms.

We recommend you compare the time ranges when you work with statistics. Let’s say you need to compare two specific timeframes: January 20-22 and January 13-15. Both of them start on Monday and end on Wednesday. It is important to compare the periods with the same days of the week because the traffic quality and volume vary for each day. Enter the appropriate dates in the Period and Compare with fields. Click Apply.

Reporting will be generated in accordance with the specified requirements. Green in the Shows column indicates traffic growth for the selected time range. As we can see, the publisher increased traffic by 15% and clicks by 14%, while CR and Payin FC decreased over January 20-22 compared with January 13-15. Consequently, the amount of traffic has increased, but the quality got worse.

Let’s understand the reasons for this situation. First, you need to familiarize yourself with the details for each advertiser. Click on the + button located at the column Total and drill down into Acceptors.

Advertiser statistics allow you to see the payout order for the specific publisher. Here you can see the advertiser, who began to pay less by 9%. Although he earns a profit, according to Profit FC, this advertiser reduced payouts.

Then you can also group data by one of the metrics to analyze changes of significant numbers. Click on the blue arrows located on the first line of the desired filter.

You can delve deeper into statistics. Use filters by country (+ – Countries) and operating system (+ – OS). After that, you can start viewing the information for each campaign separately. It will allow you to understand which particular type of traffic is worth attention and which of the advertisers won it.

Let’s summarize the material:

1. The Statistics section contains a lot of useful filters that generate reports on points of interest.
2. Statistics allows you to conduct both a superficial and in-depth analysis of the current effectiveness of a project or publisher.

If you need more information, contact your manager. He will demonstrate the features of using the Statistics section in detail and answer all questions.