What Growth trends can we see in gaming now? What are the trends in gaming genres and in countries? How Organic and Paid is behaving in Growth?

Is this game worth making? How we combine genre and audience expertise with market research to decide which games to build next. The presentation will be based on activities that we are doing at Wooga and practical tips for your game studio.

Product and Marketing are unique partners. In theory, cooperation should be extremely close. In practice, teams often differ in very different directions, making it difficult to use each other's findings to improve their own initiatives, as well as the goals for the company. In this workshop Joanna Janik, Data Strategy Architect for Booksy, will explore solutions for product & marketing teams to discover tactics for efficient & scalable cooperation. These include combining processes, creating clear data structure, knowledge repositories and competence centers which enable working in a more holistic way to maximize effects of growth initiatives.

Lessons learnt from changing MMP. What was hard, what was easy in changing attribution infrastructure? The process from both sides: from AppsFlyer and Reality Games perspective.

In this case study, we will practically describe the thought process (and show & explain the actual work) that had to be done to allow DreamLoft's team to understand and predict the long-term LTV, payback time, and predicted ROAS for their main game - which allowed them to gain confidence and move their UA efforts to the next level.

The likes of Netflix, YouTube, and Amazon do this to increase their bottom lines, so why don't we? Our player bases deserve more relevant content at a relevant time for a relevant price as well. Utilizing innovative technologies, let's look at how we can optimize IAP monetization for our mobile games in order to achieve significantly better results. Presentation based on examples and case studies.

Demonstration of use cases for UA, monetization analytics, behavioral analytics and LTV ML forecasting based on a modern technology stack using Google Cloud, starting from the basic scenario and developing to advanced data architecture (BigQuery, CF, DBT, Terraform, DataStudio).

Learnings and experience from one year of SKAN campaigns. How Rovio approached that in the past and how it is approaching it now? Singular view on moves in the SKAN approaches.

Peaksel approach in testing. What we saw working better and what we saw working less. Testing and optimisation of whole user's journey. Testing with usage of Firebase.

A story of how translating data into concrete decisions led us to create updates that improved our content based app KPIs. Presentation based on experience from Unsolved project.

Testing game through its assets before adding new features, before launch or even before its development. Insights on how to test your target audience, go-to-market strategy, characters.

Applying the data-centric, user-focused approach towards developing a new product, executing liveOps on an older game as well as running a company, coupled with examples of things we learned while trying to make better decisions.