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Understanding where and how users respond is the starting point of effective game marketing. If you can track the entire journey—from ad exposure to install to in-app purchase—you can build more efficient and precise marketing strategies.
In this edition of Hive Insight, we introduce Hive Marketing Attribution, a feature that helps you understand the user journey through data and improve performance. |
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💡 Reading Performance Through Data:
Hive Marketing Attribution |
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Hive supports third-party app marketing attribution tools such as Adjust, Singular, AppsFlyer, Firebase Analytics, and Airbridge.
Marketing attribution tracks and analyzes which paths and actions led a game user to install the app, update the app, make an in-app purchase, and more.
In short, it’s the process of answering questions like: “What campaign drove the purchase conversion?” “How did the user end up starting the game?” |
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🧩 Attribution Tools Supported by Hive |
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The scope of supported features varies depending on the attribution tool you use and whether the environment is mobile or PC. If you’re already using—or planning to use—Adjust, Singular, AppsFlyer, Firebase Analytics, or Airbridge, check which features are available in each environment.
You can find detailed support information in the developer guide below. |
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📌 Key Features of Hive Marketing Attribution |
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☑️ Automatic Event Tracking
Automatically collects basic events such as Install, Open, Update, and Purchase, and sends them to the attribution server. You can apply it right away without additional coding. |
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☑️ Manual Event Tracking
Use this when you want to track events defined directly in the game. For example, you can send detailed information for specific user journeys—such as completing the tutorial or achieving a mission—including purchase amount, item name, quantity, and more. |
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☑️ Sending Ad Impression Information
If you want to understand how users responded after an ad was shown in the game, you can send ad impression information to the attribution tool. Based on ad platform type, placement, impression time, and ad revenue per impression, you can analyze ad performance more precisely. |
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☑️ SDK Signature
An essential function for reliable data collection. It verifies valid signatures to distinguish normal events from abnormal (fraudulent) ones. |
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☑️ Deferred Deep Link
Use this when you want to guide users smoothly to specific content. If a user clicks a link without having the app installed, they’re directed to the app store; after installation, they’re automatically taken to the designated content page for a seamless experience. |
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🎯 Why You’ll Love Using Hive Marketing Attribution |
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1️⃣ A Unified View of User Data Across Platforms
Analyze all user behavior across mobile and PC in one place! Understand cross-platform user journeys at a glance and optimize strategy consistently. |
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2️⃣ Flexible Integration With Your Preferred MMP
Broad support for major MMPs like Adjust, AppsFlyer, and Airbridge! Choose the partner that fits your marketing goals and app characteristics. |
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3️⃣ Zero Development Burden With Fast Adoption
Automatically collects key events such as app install, launch, and in-app purchase! You can implement it quickly without complex work and keep your resources focused on game development. |
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4️⃣ A Complete User Journey Across Web and App
Analyze web activities—including Hive Community and the Web Shop—alongside app data! Connect web ↔ app behavior to gain deeper insights into the full user journey. |
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💭 If you’re facing these challenges, Hive Marketing Attribution is your answer! 👍 |
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- I want to accurately analyze performance by ad channel.
- I want to improve marketing results using integrated app + web data.
- I want to prevent ad fraud and rely only on trustworthy data.
- I want to track the post-install journey to boost performance.
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