
Explore freemium as a revenue-driven game model, covering data-driven design, minimum viable product, analytics, and big data. Learn to apply retention, monetization, engagement, and morality metrics to drive growth.
Learn how freemium distributes software at zero cost, offering basic free features and paid advanced options to enable massive scale and monetization. Compare this with feature-limited models.
Explore the components of the freemium model and three patterns—larger scale, few monetize, and whales—and how zero price points, platform distribution, and production costs drive monetization.
Explore insights, analytics, and user segmentation to optimize freemium monetization, turning data collection into retention gains while balancing local and global feature improvements.
Explore how competition, price evolution, and data-driven live ops shaped freemium games, shifting from premium to monetized experiences through analytics, MVPs, and in-app purchases.
Explore price elasticity of demand and price discrimination in freemium game design, and how demand shifts, equilibrium points, and consumer surplus influence revenue.
Explore how analytics records events from user actions through backend storage, a library, and a front-end, enabling segmentation by behavior and demographics to monetize freemium apps.
Explore big data, its volume, variety, and velocity, and how predictive analytics and user behavior insights drive cost reduction, faster decisions, targeted promotions, and fraud detection.
Design data driven freemium products by leveraging analytics, feedback loops, and rapid patches. Iterate continuously through live operations, prioritizing bugs, features, and backlog to maximize revenue.
Design a minimum viable product for freemium f2p games by releasing a core feature early, testing hypotheses with data-driven feedback, and iterating based on user insights to drive revenue.
Define the first time flow and core loop, then show how a universally pleasing element and bite-sized actions sustain engagement, monitise features, and curb churn.
Create a focused first time flow by teaching one core mechanic at a time, using fast, small bites and clear feedback aligned to product goals, including monetization features.
Apply freemium metrics to drive data-driven decisions, using the minimum viable product, feedback loop, and retention and ltv insights to tailor features for the 5% high-value users.
Explore minimum viable metrics (MBM) and the big four: retention, engagement, monetization, and morality. Learn how volume and diversity of behavioral data fuel a feedback loop to optimize product engagement.
Explore how minimum viable metrics—retention, engagement, monetization—drive freemium game decisions through data scientists, analysts, and engineers who analyze big data, build dashboards, and optimize revenue.
Explore measuring retention with a days versus retention curve, apply the k rules, and see why capping to a year reveals a long-term view for habit forming revenue.
Explore retention in freemium games by defining retention, calculating daily, weekly, and monthly active users, and tracking churn with retention days 1, 7, 14, and 28 using first login analytics.
Explore monetization metrics and conversion in freemium games, and compare advertisement monetization with micro-transactions to balance retention and revenue.
Explore arpu, daily arpu, and lifetime arpu to quantify revenue per user, including whales and paying users, and visualize trends with bar charts and line graphs to guide monetization decisions.
Analyze engagement through session metrics and net promoter score to measure retention, frequency, and delight, and assess monetization with promoters, detractors, and lifetime value.
Define virality and reality hooks, outline the key factor and top-line metrics, and illustrate how organic user acquisition, social sharing, and viral invites influence cost of acquisition.
Learn to use metrics in analytics dashboards, design accessible dashboards for product and marketing teams, and split metrics by retention, monetization, engagement, and rally along time and demographic dimensions.
Explore lifetime customer value (LTV) as analytics to estimate user value and product enjoyment. Learn to define value and apply strategies to grow LTV and spending.
Explore lifetime value (LTV) in freemium models by comparing basic and Skok formulas, analyzing churn, gross margin, and growth to estimate future revenue and guide marketing and feature prioritization.
Explore how lifetime value (LTV) informs development budgets, feature decisions, churn management, and cross-promotion strategies in freemium games, emphasizing the process over exact numbers.
Compare retention and acquisition to optimize ltv and monetization in freemium games, valuing engaged users over new signups, and using long-term tenure data to guide acquisition and retention decisions.
Understand how lifetime value (LTV) guides per-user spend in marketing, and how CPM (cost per thousand impressions), CTR, and CPA relate to impressions, clicks, and installs in a practical example.
Evaluate lifetime value fluctuations and time value of money to compare revenue streams, then apply discounting to present value to decide where to invest today.
Explore how LTV sets the max spend for user acquisition and drives segmentation-based marketing campaigns built on demographics to boost retention, monetization, and ROI.
Explore how lifetime value informs product development by forecasting the impact of features and promotions on retention and monetization, helping prioritize updates and optimize revenue.
Explore how LTV informs organizational priority by balancing product portfolios, using fungibility to rebalance users from low LTV to high LTV launches, and leveraging cross-promotion to stabilize revenue.
Understand the continuous monetization curve and how a well-balanced product catalog—combining predefined items and dynamic, user-specific options—drives purchases at key progression chokepoints.
Analyze the monetization curve, where lifetime value, a deep product catalog, and personalized options sustain continuous revenue, with annual LTV checks and a nonzero tail.
Learn how freemium models monetize with paying and nonpaying users, using the 5 percent rule to forecast LTV and balance value across 95 percent of the user base.
Analyze nonpaying users through behavioral data to inform monetization strategies, retention insights, and product catalogs; segment paying vs nonpaying to tailor virality, critical mass, and word-of-mouth growth for multi-user games.
Downstream marketing targets existing users to keep them engaged and monetize through promotions guided by behavioral data, while integrating upstream strategies to reengage and retain customers.
Explore reengagement marketing for web and mobile products, using emails and push notifications to reattract churned users, test strategies, and optimize retention with concise, compelling messages.
Measure downstream marketing by tracking reengagement campaigns, churn, and revenue within the campaign week using retention and engagement metrics to optimize comeback bundles and promotions.
Calculate the k factor focusing on viral and organic growth, excluding paid sources, and analyze the global k factor over time to measure growth and retention.
Explore the theory and practice of compounding virality, using base values and growth rates to model geometric and exponential growth across periods, with benchmarks to motivate product teams.
Explore how retention and virality interrelate to shape user enjoyment. Learn how to measure both metrics and drive product growth with viral hooks and benchmarks.
Learn how viral networks, network size, and revenue decisions drive promotions, with emphasis on larger networks for reach and revenue, and cautions about universal appeal and geographic markets.
Explore strategies to increase viral requests by balancing invitation volume, incentives, and quality referrals. Learn how premium rewards, gamification, and social sharing can drive engaged referrals without spamming.
Explore three core methods to convert viral users into paying customers—A/B testing, rewarding everyone, and optimizing request value—while balancing fairness and a strong first-time flow in freemium games.
Explore strategic growth as a metric-driven framework for optimizing marketing campaigns and monetization. Shape product development and marketing to improve user experience and retention, fueling growth through word of mouth.
Choose demographics early to align your freemium product with user tastes, maximize scale, and design campaigns that monetize through broad appeal or targeted monetization strategies.
Explore how advertisement exchanges use real-time bidding to sell impressions between advertisers and publishers, with demand and supply side dynamics, targeting by user characteristics, and retargeting in freemium mobile games.
Explore the demand side platform within ad exchanges, showing how advertisers use DSPs to bid across networks, target demographics, set price per thousand impressions, and optimize campaigns.
The most comprehensive course on how to Generate Revenue for any Mobile Game
Why this course is special
This course not only covers the basics of what Freemium is. But it also pushes the concept of making intellectual decisions on how to market and monetize your games.
There is no other course like this on the market. You will understand real fundamentals of Freemium and apply them by building analytics in the actual product design from the earliest stages of the development cycle. Since your product generate massive amount of data through interaction, we use that data to maximize conversion and boost user retention.
Since every minor change can drastically impact how user behavior reacts, we will look at how applying an MVP strategy and intuitive Dash-board Design to make sure any optimization required will lead to an increase in revenue.
We will also look at Virality and the huge impact it can have on how user's behave with the product. When it comes to promotions, hooks, or even emails, each viral strategy play a role in generating revenue and growing the user base. User acquisition is a giant asset to any freemium models growth and we look at the different way we can achieve our desired goals.
My Guarantee
For every student that joins the course, they will be able to ask questions about their own products and how to go about developing them. I will be available to answer any and all questions for all of my students.
The Course Structure
The course is almost all video. It will take between 5 hours to complete. After you finish this course, you should be much stronger in understanding to to go about designing and developing your own applications from a data-driven design approach. You will understand the benefits of using metrics to make design decisions that are the most optimal outcome to generate revenue.
The course is structured into 8 main Sections.
Section 2: Introduction to Freemium as a Business Model
In this section, we get a universal understanding of what the term freemium is, and how it is applied today. We look at what made freemium possible in the mobile market. Also go into a brief description of all the main components that make up the freemium model. We look at Price Elasticity and how it applies to Freemium.
Section 3: Using Analytics in Freemium design
Here, we look at what analytics is as a whole. What analytics can do and who makes up the team that takes analyzing data. We also look at Big Data, a huge trend in the market at the moment. We then shift our focus to a the Minimum Viable Product strategy and effective it is with the freemium model. We see how a Data Driven Design compliments the MVP in analyzing and effectively implementing changes to generate revenue.
Section 4: Freemium Metrics
This is my favorite section and the largest one. Here we will look at how to properly design an First Time Flow (Tutorial) to not only get the user engaged right away, but also make it become a routine. We look at the Core Loop and how to create a solid one. As discussed previously we had MVP, in this section we are going to look at MVM(Minimum Viable Metrics) and how they are used to create cost effective decisions. We deep dive into Retention mechanics and metrics, how to Monetize our products to give us the largest ROI, What different strategies and ways we can increase user Engagement, and we take a small step at understanding Virality which we have a whole section on. After we learn all these core fundamentals, we them see how we can use these metrics to our advantage. What they numbers behind the words mean and what we can do with them to increase our revenue.
This is the most important section in the course in terms of theory as it sets the tone of what the whole courses depth is about
Section 5: Lifetime Customer Value
In this section, we take a look at what LTV(Lifetime Customer Value) is. We see how it relates to the freemium model and its usefulness towards understanding how our users are behaving. We look at different terms like the Ins/Outs of LTV, Discounting and more. What retention vs acquisition is and what is a better path to go through. How LTV relates with Marketing, Product Development, and Organizational Priority. These are key concepts that must be understand for long term forecasting of the product life cycle.
Section 6: Monetization
Here we look the Monetization curve and the impact it has on decision making for the product catalogue. We see how valuable Non-Paying Users are to the Freemium model and what kind of value they give. We then switch gears and look at monetization from marketing perspective. We see how Downstream marketing plays a key roles in freemium and metrics.. We see how we can re-engage pre existing users and measure how effective those marketing campaigns were in doing this strategy.
Section 7: Virality
Perhaps one of the most vital sections in the course, Virality plays a huge factor in making sure a product is successful. We will look at how to calculate virality, hot ti compound it and much more. We will see key factors of virality and retention, and how they both are intertwined. We look at viral networks and the different ways we can increase both viral invites and conversion rate to effectively generate more revenue.
Section 8: Growth
The final section of the course! After a product launches, it all about how to sustain the current flow and grow it to be more lucrative. this section takes a loot at how the development team can choose demographics effectively and when to do so. What Paid User Acquisition has for the value of growth, Advertisement exchange and the benefits it holds for a marketing team to effective showcase their campaigns. We then look at both Supply and Demand Side Platforms and what it means on both ends of the transaction.
What sort of apps do People usually make?
Game apps, puzzle apps, social apps, photo apps, and productivity apps.
Money back Guarantee
The course comes with an unconditional, Udemy-backed, 30-day money-back guarantee. This is not just a guarantee, it's my personal promise to you that I will go out of my way to help you succeed.
Certification of completion when finishing this course
When you complete 100% of the videos in this course, you will be emailed a certificate of completion by Udemy so you can show it as proof of your expertise and that you have completed a certain number of hours of instruction in the course topic.