Geeklab’s Post

1. Unhappy players don't always complain. They just quit. 2. Metric analytics don't give answers. They create more questions. With Feedback In Games you get answers by directly asking them. Our in-game polling and feedback analytics platform, combined with metric analytics, is the perfect combo for creating a game players want. Since we released our free offer with Tibi Goanță last week, we received messages asking if our platform is appropriate for them. One of them was: Q: I don't have an active UA strategy in place. Is this useful for me right now? A: Are you getting 100 players organically in your game each month? How about finding out from 90 of them why they leave? Would that insight help you build a better game and attract more players? So for the last ones convinced, we are extending our offer to 3 more studios which will need to apply by November 8th and they will receive 10,000 free responses available until December 15th. You need to visit the link in the comments and go into the "App of the Week" section where you will find a "Complete the form" link. Here's the section you are looking for:

Neglecting Data Might Be Costing You Thousands in Potential Revenue Every Day Why? Because you can't improve what you're not monitoring. Data shines a light on the hidden corners of your game, revealing areas that need tweaking. This might include: - Unengaging gameplay elements - Ineffective user acquisition strategies - Underperforming game monetisation techniques Such oversights directly impact your bottom line. Prioritise tracking the right metrics and commit to a continuous improvement mindset to drive your game's profitability and success. #GameOptimization #GameAnalytics

Integrating analytics into your game allows you to gather valuable data about how players interact with your game. Track key metrics like playtime, level completion rates, and where players get stuck or drop off. This information helps you make informed decisions about balancing difficulty, improving user experience, and identifying areas for updates or patches. Data-driven decisions can make a huge difference in creating a game players love! 📊🎯 #GameDev #PlayerAnalytics #GameDesign #DataDriven

Video Game Sales Analysis: Unveiling Trends and Predicting Global Sales In this project, I dive deep into the world of video game sales data to discover trends and insights. From analyzing the most popular genres and top-selling platforms to identifying peak release years and high-performing publishers, this comprehensive analysis provides a detailed look at the video game industry's landscape. Utilizing a robust dataset, I cleaned and visualized the data to uncover key patterns. I then built a predictive model using a Decision Tree Regressor to forecast global sales based on various features. The model's performance was evaluated using metrics such as mean absolute error, mean squared error, and R-squared score. Join me as I explore and predict video game sales, providing valuable insights for developers, publishers, and gaming enthusiasts alike! #DataScience #VideoGames #SalesAnalysis #MachineLearning #PredictiveModeling #DataVisualization

Video Games Global Sales Report Analysis I recently worked on a Video Games Global Sales Report project from Kaggle. This dataset focused on Video game sales performance across different regions, platforms, genres and Publishers. The purpose of this project: is to understand sales trends over time, and factors that could be affecting sales in different regions and to give recommendations on how to improve video game sales, by leveraging Excel's powerful tools, including pivot tables and slicers, I created an interactive dashboard to visualize and interpret key insights. Key Highlights: Dataset: Sourced from Kaggle Tools Used: Excel for data analysis and Data cleaning, pivot tables for data aggregation, and slicers for interactive filtering. Charts: Line, Bar and Column chart Key Insights: Most Sold Genre: Action Best Selling Game: Wii sport Most Used Platform: PS2 Top publisher: Nintendo Recommendations: -Publishers should explore other genres as varieties of game genres by different publishers in the market increase overall game sales. -Publishers should embrace change by following trends and publishing games in manners and modes that are current to each generation with the prevailing technology. -Focus more on using preferred sales platforms in each region for the preferred genre in each region to remain relevant and increase sales over time. -Make adverts and give discounts to increase sales and awareness of a publisher or genre in regions where they are not preferred. Feel free to check out the dashboard screenshot for more details. #DataAnalytics #Data #DataAnalyst #Excel #Dashboard #VephlaUniversity

Revenue Optimization in Digital Gaming is a complex topic. At Game Data Pros, Inc. (GDP), we're working on a series of blogs explaining how we think about it. Where to start? At the beginning. https://lnkd.in/g5R9keep

Can you keep a (trade) secret? We can’t! The mobile games industry is famously tight-lipped about best practices, but at ESG, we believe in openness and sharing amongst the community of game studios and professionals. That’s why we’re particularly proud of our very own Russell Ovans, whose book 'Game Analytics: Retention and Monetization in Free-to-Play Mobile Games' is the definitive guide to modeling and predicting retention, revenue, churn, and return on ad spend. In this must-read book, Russ pulls back the curtain and shares actual data from ESG games, walking you through the techniques we’ve developed over the past 10+ years to profitably scale our games. Covering everything from SQL to Tableau, A/B testing, and optimized IAP pricing, Game Analytics offers invaluable tools for data analysts, product managers, and user acquisition pros alike — all wrapped in Russ’s easygoing, often humorous style. As one enthusiastic reviewer put it: “[I] can’t believe he was allowed to share such information about how analytics is done at East Side Games… there’s lots of information you won’t find anywhere else on the internet about free-to-play game analytics.”  See for yourself and learn more about how one successful studio is leveraging its data. Check out Game Analytics on Amazon now! https://lnkd.in/gt7UBGkH #EmployeeAchievement #ThoughtLeadership #IndustryOpenness #GameAnalytics #MobileGames

The Dynamic Between LiveOps & Game Analytics Have you ever thought about how games such as Fornite, Call of Duty, Diablo and many other popular games are able to keep their player base engaged over a sustained period of time, even months or years after they first launched? It's all thanks to the dynamic combo of LiveOps and Game Analytics. LiveOps keeps the game vibrant and full of surprises with new stuff, events, and direct talks with the community. It's what keeps the game's pulse strong, making sure there's always something exciting just around the corner. A typical application of this is the seasonal content updates that many AAA games follow. Then, there's Game Analytics, which acts like the mind of the operation, digging into every action, click, and player interaction. This treasure trove of info lets creators get what makes players tick, skip, or keep coming back. It's almost as if they can read players' minds, crafting updates that perfectly fit every time. The cornerstone of LiveOps and Game Analytics is a robust data strategy. A good data strategy enables game studios use the treasure trove of information they gather from players to keep the game exciting and new. It's like the secret ingredient that lets studios know what players want before they even ask for it. This makes the game better and keeps players coming back for more. Behind every great game, there's a great strategy for using data to make everything work together. #GameDevelopment #LiveOps #GameAnalytics #DataStrategy

Hey everyone, I am starting a weekly series named "Storytelling through Data," where I will be picking datasets from different sources and creating dashboards for that data in order to understand what the data wants to tell us 📊📈. For today, we have a dataset of video game sales from North America, Japan, the EU, Africa, and the rest of the world for 64,016 titles released from 1971-2024, including information like critic's score, genre, console, and more. Source: Maven Analytics From the dashboard, we can see that from 1971-2024, 𝟔𝟒𝟎𝟎𝟎 𝐠𝐚𝐦𝐞𝐬, ranging across 𝟐𝟎 𝐠𝐞𝐧𝐫𝐞𝐬 and 𝟑𝟎𝟎𝟎 𝐩𝐮𝐛𝐥𝐢𝐬𝐡𝐞𝐫𝐬, were sold. The cumulative total sales are 𝟔.𝟔 𝐛𝐢𝐥𝐥𝐢𝐨𝐧 𝐝𝐨𝐥𝐥𝐚𝐫𝐬 💰, which is quite a huge number, and the average rating came out to be 7.22, which can be considered above average ⭐. There were some questions that I had to answer, such as: 𝐖𝐡𝐢𝐜𝐡 𝐭𝐢𝐭𝐥𝐞𝐬 𝐬𝐨𝐥𝐝 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭 𝐰𝐨𝐫𝐥𝐝𝐰𝐢𝐝𝐞? 𝐖𝐡𝐢𝐜𝐡 𝐲𝐞𝐚𝐫 𝐡𝐚𝐝 𝐭𝐡𝐞 𝐡𝐢𝐠𝐡𝐞𝐬𝐭 𝐬𝐚𝐥𝐞𝐬? 𝐇𝐚𝐬 𝐭𝐡𝐞 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐠𝐫𝐨𝐰𝐧 𝐨𝐯𝐞𝐫 𝐭𝐢𝐦𝐞? 𝐅𝐨𝐫 𝐭𝐡𝐞 𝐭𝐢𝐭𝐥𝐞𝐬 𝐬𝐨𝐥𝐝 𝐰𝐨𝐫𝐥𝐝𝐰𝐢𝐝𝐞: The most sold title came out to be 𝐆𝐓𝐀 𝐕, selling more than 𝟐𝟎𝟎 𝐦𝐢𝐥𝐥𝐢𝐨𝐧 𝐜𝐨𝐩𝐢𝐞𝐬 🎮. It was the fastest entertainment release to reach $𝟏 𝐛𝐢𝐥𝐥𝐢𝐨𝐧 in retail sales and continues to sell 3-5 million copies every 3 months 🚀 𝐑𝐞𝐠𝐚𝐫𝐝𝐢𝐧𝐠 𝐰𝐡𝐢𝐜𝐡 𝐲𝐞𝐚𝐫 𝐡𝐚𝐝 𝐭𝐡𝐞 𝐡𝐢𝐠𝐡𝐞𝐬𝐭 𝐬𝐚𝐥𝐞𝐬 𝐚𝐧𝐝 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐠𝐫𝐨𝐰𝐭𝐡: 2008 saw the highest sales 📈. The industry has declined over time, although 2014 saw a little spike in sales, but nothing significant 📉 𝐀𝐝𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐚𝐧𝐝 𝐓𝐫𝐞𝐧𝐝𝐬: • 𝐎𝐯𝐞𝐫𝐚𝐥𝐥 𝐒𝐚𝐥𝐞𝐬 𝐚𝐧𝐝 𝐑𝐚𝐭𝐢𝐧𝐠𝐬: Total sales are $6.6 billion with an average rating of 7.22 • 𝐏𝐨𝐩𝐮𝐥𝐚𝐫 𝐂𝐨𝐧𝐬𝐨𝐥𝐞𝐬: PS2 leads with $1.03 billion in sales, followed by Xbox 360 and PS3 • 𝐓𝐨𝐩 𝐏𝐮𝐛𝐥𝐢𝐬𝐡𝐞𝐫𝐬: Activision had the highest sales, while Rockstar Games had the highest average critic score of 8.5 • 𝐓𝐨𝐩-𝐒𝐞𝐥𝐥𝐢𝐧𝐠 𝐆𝐚𝐦𝐞: GTA V sold over 200 million copies and achieved $1 billion in retail sales rapidly • 𝐒𝐚𝐥𝐞𝐬 𝐛𝐲 𝐆𝐞𝐧𝐫𝐞: Sports games sold the highest, while sandbox games received higher average scores • 𝐒𝐚𝐥𝐞𝐬 𝐛𝐲 𝐘𝐞𝐚𝐫: 2008 saw the highest sales, and the industry has seen a decline over time with a minor spike in 2014 • 𝐒𝐚𝐥𝐞𝐬 𝐛𝐲 𝐑𝐞𝐠𝐢𝐨𝐧: North America sold the highest, followed by PAL, Japan, and other regions That's the story that this data gives us.  If you have any questions or want to know more about this dashboard, feel free to reach out to me. Thank you for reading, and I will be back with another dataset next week! 🙌 #DataStorytelling #DataVisualization #PowerBI #VideoGames #GamingIndustry #Analytics

The Dynamic Between LiveOps & Game Analytics Have you ever thought about how games such as Fornite, Call of Duty, Diablo and many other popular games are able to keep their player base engaged over a sustained period of time, even months or years after they first launched? It's all thanks to the dynamic combo of LiveOps and Game Analytics. LiveOps keeps the game vibrant and full of surprises with new stuff, events, and direct talks with the community. It's what keeps the game's pulse strong, making sure there's always something exciting just around the corner. A typical application of this is the seasonal content updates that many AAA games follow. Then, there's Game Analytics, which acts like the mind of the operation, digging into every action, click, and player interaction. This treasure trove of info lets creators get what makes players tick, skip, or keep coming back. It's almost as if they can read players' minds, crafting updates that perfectly fit every time. The cornerstone of LiveOps and Game Analytics is a robust data strategy. A good data strategy enables game studios use the treasure trove of information they gather from players to keep the game exciting and new. It's like the secret ingredient that lets studios know what players want before they even ask for it. This makes the game better and keeps players coming back for more. Behind every great game, there's a great strategy for using data to make everything work together. #GameDevelopment #LiveOps #GameAnalytics #DataStrategy