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Evaluating Statistics
Evaluating Statistics

Create and analyze your own SMS statistics

Updated over 4 months ago

What is being saved for analysis?

With each SMS sent and received, specific data is stored, which you can view in your Account > Analytics. This includes:

  • The verified account or subaccount

  • Date of transfer

  • Information on additional services such as Voice, HLR and MNP Lookup

Filter options for more detailed evaluations

The gateway automatically converts the data into statistics and updates them every 5 minutes. You have several variables at your disposal for analyzing the data to filter or exclude individual details:

  • Select a specific time frame for which the statistics will be displayed. Choose from the last 7 or 30 days, the current month, the previous month or the total time period, or set an individually defined time frame that you define using the calendar tool.

  • Each SMS can be marked with a label. For statistical analysis, select individual labels or all labels at once. This allows channels, customer billing and A/B split tests to be evaluated in greater detail.

  • You also have the possibility to display data from your main account as well as from all your accounts, including subaccounts.

  • Group the statistics so they fit your needs – by date, label, subaccount or target country. This allows you to look at detailed results for the respective categories.

Analysis by diagram and table

In the following two overviews, you will see a visual representation as a diagram and a tabular listing based on the group you selected. The average prices as well as the individual and total costs are calculated automatically.

helpdesk_statistiken_balken_en

This is an example of one possible view, but you can display any period you'd like. A breakdown by days is also available.

The diagram shows you at a glance how many SMS have been send on specific days within your chosen time period.

helpdesk_statistiken_tabelle_en

Depending on the selected group, the table provides information on individual details. For example, you can read off explicit values on how much you spend on average in a month for sending SMS.

You can also export the table as a CSV file using the button at the top right of the table.



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