Hi, iGaming gurus! Blask continues to evolve and improve.
In March, our team of developers, designers, product managers, and data miners were busy preparing for new releases in April, so this digest will be short but still noteworthy.
Separated the Blask Index chart into "local/international" or "all together" brands.
In one of the previous issues of What's new in Blask, we talked about how Blask learned to distinguish between local and international brands in regulated markets. At that time, we taught the charts for APS and CEB metrics on country pages to display data either for all brands combined or broken down by local/international. Now, such a separation is also possible for the Blask Index chart!

The button to switch chart display modes is now located at the bottom of the page, where you select the time period and granularity.
Unified the methodology for rounding numbers.
Blask is synonymous with accurate data. But accuracy can be made convenient and understandable!
For example, "$1M" is much easier to perceive than "$1,000,000," and if one brand has an indicator of "$1.00001B" and another has "$1.00002B," then both can probably be safely rounded to an easier-to-understand "$1B."

Yes, you have seen all the numbers in Blask rounded and abbreviated before, but now all these processes are brought to a unified principle and follow the same rules in every interface element. We were guided by the principle of making it convenient and understandable without sacrificing accuracy.
Tracked all brands that have left the market.
For each iGaming brand in Blask, you can see a list of all countries where that brand is represented. Now, this page marks the countries that the brand has left.

Get ready for April!
We are preparing to release a new product in the Blask ecosystem β we are actively collecting data, making final edits to the code and design, and continuously testing within the team.
And, as usual, we remind you that Blask has no plans to stop! Our mission is clear and understandable β to provide the iGaming industry with analytical and statistical data so that you can make data-driven decisions (and no, this is not a clichΓ©, it is our principle).