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Updates — 08 May 2023

Affise Announces Statistics Customization

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  • Affise Presents State-of-the-art Statistics Design

Affise Presents State-of-the-art Statistics Design

Design is not just what it looks like and feels like. Design is how it works
Steve Jobs

It’s encouraging to see that today people understand the real value of digital products built with design thinking. And the famous quote by Steve Jobs accurately reflects the reason we’ve launched the process of redesigning Affise Statistics.

Statistics section is a very important part of affiliate marketing software solutions that greatly affect the future business strategy and apparently it is the one where marketers spend most of their work time. To fulfill its function at its finest the statistics design should be intuitive, flexible, and as straightforward as possible. Therefore, we’ve brought a diverse perspective to this part of the Affise platform and released the state-of-the-art Statistics Design.

When creating a new concept, we bring together experience from different areas, such as design thinking, customer development, user experience, latest technologies, etc. The result of this intricate work is something entirely new for the affiliate marketing industry – a fully customizable statistics section with the ability to do the necessary calculations without leaving the platform.

Let’s take a closer look at the new features of Statistics.

What’s New in Affise’s Statistics Design?

Visibility and Order Settings

Visibility and order settings help to get rid of unrelated data, focus on the most significant indicators and arrange statistics columns by order of importance.

Table options enable a user to change the layout / to make the following changes to the layout:

  • 1
    Hide columns

stat_report_hide_columns

  • 2
    Modify their order

stats_report_columns_order

Calculator Widget

Calculator widget is the very instrument to adept Statistics to the specific needs of users from different niches.

Apply formulas and create new metrics and indicators by clicking New Column:

stats_report_new_column

For example, let’s create a column for CTR. CTR is the ratio of users who click on an ad to the number of total users who view a page.

stats_report_calculator

stats_report_ctr_column

New columns can be removed, and default ones can be hidden.

Renaming of Default Column Titles

In case users need to rename any of the default columns, they can hide the existing column and create a new one with the help of the Calculator widget.

Drilldown Reports

The report includes a unique visualization of multiple data groupings for a better understanding and analysis. This report breaks down the statistics in accordance with various additional parameters.

stats_drilldown_report

Put it simply, this technique allows having several reports within one page.

stats_drilldown_report_advanced

Default Order Update

We simplified the table by removing one headline and Total columns (Conversions part) and changing the order in the Conversions area.

stats_report_default_order

Benefits of Affise’s Statistics Design for Different Verticals

Affise is the first performance marketing platform that meets the needs of players from different verticals. New features of the statistics section provide marketers from different niches with all required KPIs and allow them to get rid of all unnecessary metrics and numbers. Statistics customization is a significant step in the direction to make Affise an all-in-one platform for all the affiliate marketers.

All in all, the new design of Affise statistics allows marketers from any industry vertical to customize the workspace to their unique needs.

You can try these statistics features and more for yourself! Sign up for the Affise free trial now!

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Affise Academy

Affise is a partner marketing platform for brands, advertisers and agencies to scale via all possible performance marketing channels. Synergy of technology and our long standing experience lets you expand your partnerships, automate every step of the campaign lifecycle and make data-driven decisions.

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