One of the central values of high-level analytics is to see the general situation with marketing in one report. We use DWH based on Google BigQuery, which helps to make good reports with its logic. …

Today we want to talk about a big problem in many businesses such as Fintech, Crypto, or SaaS. The time between the registration of a user and his useful action for business (for example, replenishing a deposit, activating a card, or subscribing to a product) is quite significant. …

When a new application is launching, an important aspect is user behavior analytics. First, this data allows you to optimize the application itself, screens, funnels, and elements, to be convenient for users’ interaction. In addition, without users, the application itself does not make sense, and attracting traffic is the next…

The relatively new analytics tool, Google Analytics 4, has collected the best solutions on the market for marketing and product analysis. But in addition to a convenient, flexible, and customizable interface, it became possible to save raw data in Google BigQuery for free and quickly. …

There are currently two approaches to attributing mobile app installs: Getting a device identifier from an advertising network (for example, idfa for IOS) on which the user clicks on the ad. Fingerprinting, i.e. linking a click on an advertisement and the fact of installation based on device parameters.

If you work with Facebook ads then you will understand that to see the statistics in Facebook interface is not enough and you need to use other systems. For example, if you use App+Web Google Analytics you have a free connector for Google BigQuery. We can do the classic reports…

Google Data Studio is one of simple tools of visualization, what we have now. DS is free and expands actively. If we compare, DS gives a top rating of numbers of users. Data Studio has a lot of connectors to connect for different sources including a lot of google products…