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M. Ali Saatchi

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Understanding Retention Part 3: LTV and Retention

🚨 Understanding Retention Part 3: LTV and Retention In my previous posts, I covered the importance of long-term retention and how games with low retention will survive. Now, it's time to talk about how we can calculate LTV (lifetime value) and its relation to Retention. ⥅ Here's the formulaLTV = Lifetime ⛌ ARPDAU 👉 Using this formula you can make estimations on your early retention data ❓How Retention Impacts LTVRetention and LTV are closely linked. The longer players stick around, the more opportunities they have to make in-app purchases or watch ads, increasing their lifetime value. ↳Higher retention naturally translates to a higher LTV. Part 1: Part 2: If you found this post helpful: ❤️ → Give it a like 💬 → Share your thoughts in the comments🔄 → Repost it to help others🔔 → Follow me for more insights […]

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3 Pillars of a Successful Game Studio Founder & Director

⭐️ 3 Pillars of a Successful Game Studio Founder and DirectorIn a recent workshop by Amir H. Fassihi, creator of the famous Children of Morta, he shared a powerful framework for what it takes to be a successful Game Studio Founder and Director:1. 🧠 Creative (World of Imagination):A great founder must have a boundless imagination, big dreams with high hopes. They need to generate fresh, innovative ideas and have an open mind with a broad vision for what’s possible. Creativity is the engine that drives all new projects.2. 👷🏻 Execution (Real World):However, ideas and dreams alone aren't enough. A founder needs to have the ability to bring these ideas to life—whether executing solo or leading a team. It’s about translating those imaginations into tangible results in the real world.3. 👀 Grand Vision (The Bridge):Finally, the bridge between imagination and execution […]

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Game Ideation via ChatGPT

15-min with just using GPT-4o and GPT-1o to create a complete game idea & concept:👉 Initial prompt for GPT-1o:" I want you to be my Lead Game Designer who knows all about mobile gaming, all genres, all mechanics, market trends, etc I want you to come up with a compelling idea with USPs. I want you to pick the genre and sub-genre for me based on market data, somewhere that has high potential and is quite blue ocean a high chance of success. The idea should be mobile friendly with simple mechanics and at the same time good depth so at first players can easily pass and progress but soon they have improved their skills/characters or whatever to progress further "↳ Here's the game concept and AI-generated idea:- Title: Eden Rising: Rebuild & Survive- Genre: Hybrid-Casual City Builder with Survival […]

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Understanding Retention Part 2: Retention Isn’t Everything

🚨 Understanding Retention Part 2: When Retention Isn’t EverythingWe often make quick decisions based solely on retention numbers. But there are times when other metrics hold more weight.❓ Let’s take a look at a retention curve of a project with Day 1, Day 7, and Day 30 rates:* D1: 17.5%* D7: 4.5%* D30: 1.6%These retention numbers are below industry benchmarks, both short and long term.🤔 Would you continue working on this project?Before making a decision, let's look at an important factor:👉 ROAS (Return on Ad Spend): the amount of revenue earned for every dollar spent on advertising.💡This retention data is from Nitro Nation: Car Racing Game. With over 50M downloads and $18M in revenue, this game is thriving despite low retention.⭐️ TL;DREven though this game doesn’t have exceptionally high retention rates, it’s still achieving positive ROAS—proving that , ROAS is […]

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Understanding Game Retention

👉 One of the most critical metrics when producing a game is ⭐️RETENTION⭐️, specifically, long-term retention. ❓But what does retention mean, and how should we monitor it beyond just the surface numbers?Many teams and even publishers look at retention numbers like D1, D4, and D7, but these only tell part of the story. Long-term retention is what really dictates the success of a game. ↳If we don’t measure and understand it properly, we risk making decisions based on incomplete data.

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