Military icon in England vs. Robot icon in Japan: stronger monetisation via good ASO localisation and finding user inisghts.
•
0 likes•1,292 views
UK car registrations increased by 21.1% in March compared to the same month last year, as buyers rushed to purchase vehicles before a planned increase in VAT. New car sales had fallen dramatically in March 2020 due to the initial COVID-19 lockdown measures. The increase marks a strong rebound from a year earlier when the pandemic first hit Britain.
Report
Share
Report
Share
Download to read offline
Recommended
Practical approach to creative testing and creative optimisation at Google UA...
Presentation delivered by Jussi Napuri from Rovio at one of GameCamp webinars (www.gamecamp.io) dedicated to topics of creative testing and creative optimisation.
During the session Jussi covered best practices they use at Rovio to optimise creatives on Google Ads + what to keep in mind. Additionally he will share what creative learnings they get from Google Ads to use elsewhere, and vice versa And finally how to approach ad groups and testing creative themes.
Creativity and science behind creative testing. creative testing framework an...
Presentation of Claire Rozain (from Product Madness) delivered at one of GameCamp webinars dedicated to Creative testing and optimisation (www.gamecamp.io).
How to combine creative and data approach in creative testing? How to make it as the process and learning loop and not one-off? Presentation based on examples and learnings from different campaigns and traffic sources.
Blog of Claire Rozain: https://ClaireRozain.fr.
How to boost your ASO with data analytics?
Presenation of Marek Pasieczny from Gamesture at ASO GameCamp webinar.
No matter if you optimize your paid or organic traffic, even simple data analysis is a must in today's world of App Store Optimization. The best conclusions come from the most creative approaches, i.e. those that allows you to save some time and make the right decisions. I'll give you 3 examples of ASO data analytics in practice.
8 Types of mobile game and app creatives you should try
Over that past three years, we have worked with around 80 apps and tested approximately 8,000 different videos. From this, we’ve been able to recognize and define the characteristics of certain types of concepts that frequently perform well. We have also seen these concepts work for specific app categories.
In this presentation, we would like to share our typology and discuss the game categories where we’ve seen these specific concepts perform particularly well. We hope this may help in building or improving the testing plan for your game and, as a consequence, achieve better results in UA.
Presentation done by Adam Turowski, Co-Founder of Miri Growth at GameCamp webinar: https://youtu.be/yg7aPWmyz2o?t=396
Building the BI system and analytics capabilities at the company based on Rea...
Building the BI system and analytics capabilities at the company. How we built it and grew its capabilities?
How we developed our analytics capabilities? What was easy, what was more difficult. Preparation, process step by step. Presentation from GameCamp webinar: http://www.gamecamp.io/events/webinar-growing-measurement-capabilities-of-gaming-and-apps-company/
Developing an effective LTV model at the soft launch and keeping it valid fur...
Whole way of developing and maintaining an LTV model for Crazy Panda game starting from the very rough extrapolation models at the soft launch to more accurate user-based Machine Learning models for mature products. Moreover, we will peek into the main obstacles on our way and how to overcome them. How is LTV calculation different for new games at soft launch phase vs mature products?
- Presentation run during on of GameCamp webinars; http://www.gamecamp.io/events/understanding-prediction-ltv/
- All GameCamp webinars: http://www.gamecamp.io/events/
Ad-hoc tasks in the Data Scientist team based on Outfit7 example
Different types of ad hoc analyses that we are doing at Outfit7. How do we work on them? What tasks are we trying to automate, which ones staying manual? Presentation delivered by Sara Krk, Senior Data Scientist from Outfit7 at 8th edition of GameCamp
Driving profitability of Google App Campaigns in scale. What is easy, what is...
Strategic and operational approach. Learnings taken from Huuuge Games campaigns. Which best practices I saw especially important, which ones can be skipped? Presentation delivered by Itay Milstein, Head of Growth from Huuuge Games at 8th edition of GameCamp (www.GameCamp.io).
Recommended
Practical approach to creative testing and creative optimisation at Google UA...
Presentation delivered by Jussi Napuri from Rovio at one of GameCamp webinars (www.gamecamp.io) dedicated to topics of creative testing and creative optimisation.
During the session Jussi covered best practices they use at Rovio to optimise creatives on Google Ads + what to keep in mind. Additionally he will share what creative learnings they get from Google Ads to use elsewhere, and vice versa And finally how to approach ad groups and testing creative themes.
Creativity and science behind creative testing. creative testing framework an...
Presentation of Claire Rozain (from Product Madness) delivered at one of GameCamp webinars dedicated to Creative testing and optimisation (www.gamecamp.io).
How to combine creative and data approach in creative testing? How to make it as the process and learning loop and not one-off? Presentation based on examples and learnings from different campaigns and traffic sources.
Blog of Claire Rozain: https://ClaireRozain.fr.
How to boost your ASO with data analytics?
Presenation of Marek Pasieczny from Gamesture at ASO GameCamp webinar.
No matter if you optimize your paid or organic traffic, even simple data analysis is a must in today's world of App Store Optimization. The best conclusions come from the most creative approaches, i.e. those that allows you to save some time and make the right decisions. I'll give you 3 examples of ASO data analytics in practice.
8 Types of mobile game and app creatives you should try
Over that past three years, we have worked with around 80 apps and tested approximately 8,000 different videos. From this, we’ve been able to recognize and define the characteristics of certain types of concepts that frequently perform well. We have also seen these concepts work for specific app categories.
In this presentation, we would like to share our typology and discuss the game categories where we’ve seen these specific concepts perform particularly well. We hope this may help in building or improving the testing plan for your game and, as a consequence, achieve better results in UA.
Presentation done by Adam Turowski, Co-Founder of Miri Growth at GameCamp webinar: https://youtu.be/yg7aPWmyz2o?t=396
Building the BI system and analytics capabilities at the company based on Rea...
Building the BI system and analytics capabilities at the company. How we built it and grew its capabilities?
How we developed our analytics capabilities? What was easy, what was more difficult. Preparation, process step by step. Presentation from GameCamp webinar: http://www.gamecamp.io/events/webinar-growing-measurement-capabilities-of-gaming-and-apps-company/
Developing an effective LTV model at the soft launch and keeping it valid fur...
Whole way of developing and maintaining an LTV model for Crazy Panda game starting from the very rough extrapolation models at the soft launch to more accurate user-based Machine Learning models for mature products. Moreover, we will peek into the main obstacles on our way and how to overcome them. How is LTV calculation different for new games at soft launch phase vs mature products?
- Presentation run during on of GameCamp webinars; http://www.gamecamp.io/events/understanding-prediction-ltv/
- All GameCamp webinars: http://www.gamecamp.io/events/
Ad-hoc tasks in the Data Scientist team based on Outfit7 example
Different types of ad hoc analyses that we are doing at Outfit7. How do we work on them? What tasks are we trying to automate, which ones staying manual? Presentation delivered by Sara Krk, Senior Data Scientist from Outfit7 at 8th edition of GameCamp
Driving profitability of Google App Campaigns in scale. What is easy, what is...
Strategic and operational approach. Learnings taken from Huuuge Games campaigns. Which best practices I saw especially important, which ones can be skipped? Presentation delivered by Itay Milstein, Head of Growth from Huuuge Games at 8th edition of GameCamp (www.GameCamp.io).
Scaling UA activity - the challenges of growth
What to look out for when trying to scale up the user acquisition. What metrics to choose, how to approach this topic, what to measure and how to decide if we are successful or not. Presentation run by Lukasz Kwiecien, Head of Marketing of Gamesture at 8th edition of GameCamp (www.GameCamp.io).
Growth Strategies: Lower Your CPI by Implementing ASO into UA Workflow.
To have a sustainable, repeatable and balanced Acquisition Strategy you’ll need to think of it as system of compounding loops. And although the Paid Acquisition loop (UA) is crucial part of it, ignoring the Organic Acquisition loop (ASO) might mean the difference between a game that generates 7-figures or 8-figures revenue per year. Presentation based on examples and case studies. Presentation delivered by Erik Hegely, Head of Growth of Pixel Federation at 8th edition of GameCamp (www.GameCamp.io).
Growth trends in mobile gaming based on the data
What Growth trends can we see in different gaming genres and in different countries? How Organic and Paid is behaving in Growth? Based on the Google and industry data. Presentation delivered at 8th edition of GameCamp (www.GameCamp.io).
Facebook's and Social Creative Best Practice that worked for Huuuge
Practical learnings from Huuuge Games' experience at Facebook creatives. What worked for us what did not. How Facebook creatives should be different than Google creatives? Presentation delivered at 8th edition of GameCamp (www.GameCamp.io).
Using Data Science for Behavioural Game Design
In this talk, the speaker shows how data science and behavioral science can help to design better games, increase retention, and in-app purchases, and achieve viral growth. Presentation delivered at 8th edition of GameCamp (www.GameCamp.io).
Learnings and insights from Benchmarks+. Performance Insights for 1.2bn Month...
GameAnalytics shares global gaming trends surfaced from the Benchmarks+ platform. Their analysis spans more than 88,000 games, 150 million transactions, 1.2 billion players and 16 billion sessions on average each month - with performance insights dating back to 2016. Expect to learn the latest industry trends for core engagement and monetization KPIs like retention, session length, ARPPU and conversion across all major genres and sub-genres, now including aggregated insights for the top 5%, 10%, and 20% of market performance. This is one of the most detailed pieces of gaming analysis currently available for developers, studios and publishers of all shapes and sizes.
In-app offers monetization from basics to advanced technics based on Crazy Pa...
From simple user segmentation to a complex interconnected system, we will follow Crazy Panda`s progress in developing personalized monetization. The key message of the session is not only about when or who to show those offers to, but also about how to make them truly personal. Presentation delivered by Ivan Kozyev, Head of Analytics of Crazy Panda at 8th edition of GameCamp (www.GameCamp.io).
Building cost-effective mobile product & marketing app analytics based on GCP...
Ever wondered whether it makes sense for your company to build your own app analytics stack? This session will feature a case study about us doing just that, using tools like Google Firebase, BigQuery, and Data Studio. Martin Jelinek guided the audience through the whole process, including the initial decision making (why we chose to build, what tools to use), execution (events and metrics definitions, implementation and testing, cost control), and a final evaluation of pros and cons of such an approach & our learnings. Presentation run by Martin Jelinek (www.appagent.co) at 8th edition of GameCamp (www.gamecamp.io)
How ASO Has Changed in 2019 and What’s Next. Our experience in creatives and ...
Session about experience of Creative Mobile in A/B testing game creatives on Google Play with their mobile title ZooCraft: Animal Family. Optimization Tips and Tricks for Early 2020 and ASO loop as they see in their company. Presentation delivered by Denis Larionov and Serg Kharchenko at 8th edition of GameCamp (www.gamecamp.io).
Data behind UA
How to create good BI for UA activities? How we did it at Pixel Federation? How we structure our systems and our teams? What we can say based on our experience? Presentation run by Michal Grno at 8th edition of GameCamp (www.gamecamp.io).
Enabling the growth of the game through performance marketing in 2020
Every year performance marketing is changing and with it, growth strategies. This session covers in this topic, at the beginning some of the general rules in today's market and how to grow a game profitably through performance marketing channels and what are the most important metrics to keep in mind. In the next part, we will connect those growth metrics with signals which can be given to the Product/Game teams to help make good decisions. Presentation is be based on activities that Nordeus is doing to achieve such goals. Presentation delivered by Andrej Kugonic at 8th edition of GameCamp (www.GameCamp.io)
User Acquisition focused on LTV on steroids
How to use statistics and ML for a better user acquisition (UA) with Feature Selection (FS) methodology. Is FS for me? How does it work, how to prepare and how can I benefit from it? Let's take look on examples of gaming companies that used Feature Selection (FS) for improve and scale their business.
Growth markets in mobile gaming
Which markets you should focus on in mobile gaming? Where is the highest LTV versus CPI. Based on Google data. Abstract from presentation from 7th edition of GameCamp
LTV measurement and multi-touch attribution
Can multi touch attribution models help you increase the LTV of your campaigns? How should you split the credit for revenue generated by users who saw multiple ads? What is easy what is more difficult?
Big Problem, BigQuery: User Feature Engineering in Event-driven Analytics
How to find best predictor of good LTV in a game (feature/event in a game) ? What is needed for good feature selection? How to construct and aggregate data well? How it can be used in practical way? Strategic and operational approach.
Optimising user acquisition through LTV prediction
Have you ever burnt money on unprofitable UA? Was there an opportunity to scale that you missed? Identifying potentially long-term profitable campaigns as soon as possible using LTV prediction can double or triple profits of the mobile game. In this talk, we will look at how to effectively reallocate user acquisition investments early in campaigns’ lifetime using Machine Learning. We will shed light on some of the challenges game studios face when building a fully automatic LTV prediction pipeline for games with investment optimisation in mind.
Not so trivial lessons learned from launching mid-core games.
Key points on understanding future marketing and analytics challenges when developing ideas for your future games. We analyzed 1000 games of different genres and extracted common types of how the key metrics of apps develop after worldwide launch. We analyzed only notable games with the 1st year sum of revenue + downloads more than 2M and compared their performance during their first year. Learnings from the analysis.
Ad LTV in mobile gaming: deep dive into industry
What is the situation in Ad LTV right now, what is a good benchmark for mobile game today? Data based on analyzing unique and granular data collected over a period of months and based on billions of in-app ad impressions. What are good and bad best practices looking at games from many genres? What is must have and what is nice to have? What should be most important for smaller company, what should be the focus for bigger organisation?
Monetisation trends based on the data
What monetisation trends can we see? Based on the data and predictions Which gaming genres are getting better in monetisation, which ones are getting more challenging? Abstract of presentation shown at 7th edition of GameCamp
Transit King case study - data driven design with its benefits and challenges.
Working on a released free to play title creates a lot of design constraints. Sometimes constraints help to be more creative, but sometimes core elements need to be changed to move forward. In the case of Transit King, a big economy balance and design change had to be made to potentially increase KPIs and create more opportunities for its growth. In this talk we will speak about the process of identifying core problems based on data, evaluating risks and opportunities of potential design changes and see how big alteration in core elements of the game enhanced player retention by 30% and revenue by 40 %
More Related Content
More from GameCamp
Scaling UA activity - the challenges of growth
What to look out for when trying to scale up the user acquisition. What metrics to choose, how to approach this topic, what to measure and how to decide if we are successful or not. Presentation run by Lukasz Kwiecien, Head of Marketing of Gamesture at 8th edition of GameCamp (www.GameCamp.io).
Growth Strategies: Lower Your CPI by Implementing ASO into UA Workflow.
To have a sustainable, repeatable and balanced Acquisition Strategy you’ll need to think of it as system of compounding loops. And although the Paid Acquisition loop (UA) is crucial part of it, ignoring the Organic Acquisition loop (ASO) might mean the difference between a game that generates 7-figures or 8-figures revenue per year. Presentation based on examples and case studies. Presentation delivered by Erik Hegely, Head of Growth of Pixel Federation at 8th edition of GameCamp (www.GameCamp.io).
Growth trends in mobile gaming based on the data
What Growth trends can we see in different gaming genres and in different countries? How Organic and Paid is behaving in Growth? Based on the Google and industry data. Presentation delivered at 8th edition of GameCamp (www.GameCamp.io).
Facebook's and Social Creative Best Practice that worked for Huuuge
Practical learnings from Huuuge Games' experience at Facebook creatives. What worked for us what did not. How Facebook creatives should be different than Google creatives? Presentation delivered at 8th edition of GameCamp (www.GameCamp.io).
Using Data Science for Behavioural Game Design
In this talk, the speaker shows how data science and behavioral science can help to design better games, increase retention, and in-app purchases, and achieve viral growth. Presentation delivered at 8th edition of GameCamp (www.GameCamp.io).
Learnings and insights from Benchmarks+. Performance Insights for 1.2bn Month...
GameAnalytics shares global gaming trends surfaced from the Benchmarks+ platform. Their analysis spans more than 88,000 games, 150 million transactions, 1.2 billion players and 16 billion sessions on average each month - with performance insights dating back to 2016. Expect to learn the latest industry trends for core engagement and monetization KPIs like retention, session length, ARPPU and conversion across all major genres and sub-genres, now including aggregated insights for the top 5%, 10%, and 20% of market performance. This is one of the most detailed pieces of gaming analysis currently available for developers, studios and publishers of all shapes and sizes.
In-app offers monetization from basics to advanced technics based on Crazy Pa...
From simple user segmentation to a complex interconnected system, we will follow Crazy Panda`s progress in developing personalized monetization. The key message of the session is not only about when or who to show those offers to, but also about how to make them truly personal. Presentation delivered by Ivan Kozyev, Head of Analytics of Crazy Panda at 8th edition of GameCamp (www.GameCamp.io).
Building cost-effective mobile product & marketing app analytics based on GCP...
Ever wondered whether it makes sense for your company to build your own app analytics stack? This session will feature a case study about us doing just that, using tools like Google Firebase, BigQuery, and Data Studio. Martin Jelinek guided the audience through the whole process, including the initial decision making (why we chose to build, what tools to use), execution (events and metrics definitions, implementation and testing, cost control), and a final evaluation of pros and cons of such an approach & our learnings. Presentation run by Martin Jelinek (www.appagent.co) at 8th edition of GameCamp (www.gamecamp.io)
How ASO Has Changed in 2019 and What’s Next. Our experience in creatives and ...
Session about experience of Creative Mobile in A/B testing game creatives on Google Play with their mobile title ZooCraft: Animal Family. Optimization Tips and Tricks for Early 2020 and ASO loop as they see in their company. Presentation delivered by Denis Larionov and Serg Kharchenko at 8th edition of GameCamp (www.gamecamp.io).
Data behind UA
How to create good BI for UA activities? How we did it at Pixel Federation? How we structure our systems and our teams? What we can say based on our experience? Presentation run by Michal Grno at 8th edition of GameCamp (www.gamecamp.io).
Enabling the growth of the game through performance marketing in 2020
Every year performance marketing is changing and with it, growth strategies. This session covers in this topic, at the beginning some of the general rules in today's market and how to grow a game profitably through performance marketing channels and what are the most important metrics to keep in mind. In the next part, we will connect those growth metrics with signals which can be given to the Product/Game teams to help make good decisions. Presentation is be based on activities that Nordeus is doing to achieve such goals. Presentation delivered by Andrej Kugonic at 8th edition of GameCamp (www.GameCamp.io)
User Acquisition focused on LTV on steroids
How to use statistics and ML for a better user acquisition (UA) with Feature Selection (FS) methodology. Is FS for me? How does it work, how to prepare and how can I benefit from it? Let's take look on examples of gaming companies that used Feature Selection (FS) for improve and scale their business.
Growth markets in mobile gaming
Which markets you should focus on in mobile gaming? Where is the highest LTV versus CPI. Based on Google data. Abstract from presentation from 7th edition of GameCamp
LTV measurement and multi-touch attribution
Can multi touch attribution models help you increase the LTV of your campaigns? How should you split the credit for revenue generated by users who saw multiple ads? What is easy what is more difficult?
Big Problem, BigQuery: User Feature Engineering in Event-driven Analytics
How to find best predictor of good LTV in a game (feature/event in a game) ? What is needed for good feature selection? How to construct and aggregate data well? How it can be used in practical way? Strategic and operational approach.
Optimising user acquisition through LTV prediction
Have you ever burnt money on unprofitable UA? Was there an opportunity to scale that you missed? Identifying potentially long-term profitable campaigns as soon as possible using LTV prediction can double or triple profits of the mobile game. In this talk, we will look at how to effectively reallocate user acquisition investments early in campaigns’ lifetime using Machine Learning. We will shed light on some of the challenges game studios face when building a fully automatic LTV prediction pipeline for games with investment optimisation in mind.
Not so trivial lessons learned from launching mid-core games.
Key points on understanding future marketing and analytics challenges when developing ideas for your future games. We analyzed 1000 games of different genres and extracted common types of how the key metrics of apps develop after worldwide launch. We analyzed only notable games with the 1st year sum of revenue + downloads more than 2M and compared their performance during their first year. Learnings from the analysis.
Ad LTV in mobile gaming: deep dive into industry
What is the situation in Ad LTV right now, what is a good benchmark for mobile game today? Data based on analyzing unique and granular data collected over a period of months and based on billions of in-app ad impressions. What are good and bad best practices looking at games from many genres? What is must have and what is nice to have? What should be most important for smaller company, what should be the focus for bigger organisation?
Monetisation trends based on the data
What monetisation trends can we see? Based on the data and predictions Which gaming genres are getting better in monetisation, which ones are getting more challenging? Abstract of presentation shown at 7th edition of GameCamp
Transit King case study - data driven design with its benefits and challenges.
Working on a released free to play title creates a lot of design constraints. Sometimes constraints help to be more creative, but sometimes core elements need to be changed to move forward. In the case of Transit King, a big economy balance and design change had to be made to potentially increase KPIs and create more opportunities for its growth. In this talk we will speak about the process of identifying core problems based on data, evaluating risks and opportunities of potential design changes and see how big alteration in core elements of the game enhanced player retention by 30% and revenue by 40 %
More from GameCamp (20)
Growth Strategies: Lower Your CPI by Implementing ASO into UA Workflow.
Growth Strategies: Lower Your CPI by Implementing ASO into UA Workflow.
Facebook's and Social Creative Best Practice that worked for Huuuge
Facebook's and Social Creative Best Practice that worked for Huuuge
Learnings and insights from Benchmarks+. Performance Insights for 1.2bn Month...
Learnings and insights from Benchmarks+. Performance Insights for 1.2bn Month...
In-app offers monetization from basics to advanced technics based on Crazy Pa...
In-app offers monetization from basics to advanced technics based on Crazy Pa...
Building cost-effective mobile product & marketing app analytics based on GCP...
Building cost-effective mobile product & marketing app analytics based on GCP...
How ASO Has Changed in 2019 and What’s Next. Our experience in creatives and ...
How ASO Has Changed in 2019 and What’s Next. Our experience in creatives and ...
Enabling the growth of the game through performance marketing in 2020
Enabling the growth of the game through performance marketing in 2020
Big Problem, BigQuery: User Feature Engineering in Event-driven Analytics
Big Problem, BigQuery: User Feature Engineering in Event-driven Analytics
Optimising user acquisition through LTV prediction
Optimising user acquisition through LTV prediction
Not so trivial lessons learned from launching mid-core games.
Not so trivial lessons learned from launching mid-core games.
Transit King case study - data driven design with its benefits and challenges.
Transit King case study - data driven design with its benefits and challenges.
Military icon in England vs. Robot icon in Japan: stronger monetisation via good ASO localisation and finding user inisghts.
- 18. UK: CVR up to + 21.1%