Unlocking Business Success with Product Analytics

📊 Product analytics is a way to tell a story about the people using your product and improve their experience to positively impact your business.

🔍 Product analytics provides a detailed understanding of user behavior within your product, while marketing analytics focuses on getting more users into your app.

💡 Product analytics helps answer the question of how to change the product experience to reach business goals by finding bottlenecks, understanding user behavior, analyzing A/B test performance, and identifying best customers.

Product analytics is about tracking user actions and collecting data to gain insights.

Events, event properties, and user properties are the building blocks of product analytics.

The goal of product analytics is to use data to make informed decisions and improve business outcomes.

🔑 Understanding the user journey is important to increase conversion rates in an app.

🧩 Tracking events and building a funnel can help identify the main steps that lead to checkout.

📈 Analyzing user behavior and developing hypotheses can inform experiments to improve conversion rates.

The sign of an issue on a product depends on the industry and benchmarks for conversions.

Analyzing user behavior and traits can help identify conversion problems and inform testing hypotheses.

Using product analytics insights, businesses can make data-driven decisions, such as improving user experience and targeting high-quality users through marketing efforts.

📱 There are several tools available for product analytics, including Mixpanel, Amplitude, Google Analytics, and Heap, that can be used for both websites and mobile apps.

💼 Choosing the best tool depends on your specific business needs and pricing models, such as user tracking, event tracking, or session tracking.

🛠️ Implementing product analytics involves defining business goals, developing a tracking plan, choosing the right tool, and following a consistent process and framework.

🔑 The key areas apart from product analytics for product-based businesses are CRM tools, attribution tools, and product analytics.

💼 CRM tools like Braze, Urban Airship, and customer.io are industry standards, but they can be expensive. An alternative is customer.io, which is lightweight and flexible.

📊 Attribution tools like Adjust or AppsFlyer are important for understanding the ROI of paid advertising and where customers are coming from.

🌐 Google Analytics is useful for understanding website and app traffic, while product analytics helps to understand user interactions within the app.

💡 It's important to identify key customer segments and ask in-depth questions to uncover differences and influence the top line.

📊 Product analytics tools provide resources to learn about the field and are commonly used with apps.

🔧 Mixpanel is a recommended tool to start with for customer-facing businesses.

💡 Being a product analyst doesn't require coding skills, but rather a mindset and ability to ask the right questions.

🔎 Apart from A/B tests, product analytics may involve experimenting with different variants and user training.