This post is part of a series of posts about analytics platforms that I would use and recommend using for game analytics. None of these posts were asked for or sponsored by any of the companies that own the platforms. My knowledge of the platforms comes from demos they made by my request or hands on experience working with them. My objective is to state what each platform offers and what makes it unique so that it helps game developers in the process of picking a platform if they choose to do so.
The first documentation I read about game analytics was from deltaDNA. It is therefore almost poetic that theirs is the first analytics platform I review. The product offer was simpler back in the day. A good infrastructure with a nicely featured front end and a number of consulting services, a trait I believe is rather unique to this day. That and segmentation.
If someone asked me to define deltaDNA in two words, those would be it: services and segmentation. Their services, in particular the consulting services, are offered from game developers for game developers. They are not “simply” specialised analysts, they actually know about gamedev. This is something that I hold in high regard since this is also my background.
Segmentation is part of deltaDNA’s DNA (pun totally intended!) way before it was cool. Today everyone speaks about targeted messaging but deltaDNA was spreading the word of actionable segmented player behaviour before any other platform if my memory serves me right. This vision that users are segmented beyond payers and non-payers is to this day wishful thinking to the majority of game developers and deltaDNA has vast experience with it, even their advertising mediation services takes segmentation and player behavior into account. If you’ve ever had a discussion about when and how many ads to show to users, then segmentation and raw data analysis would greatly help.
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