Week 15 Part A: What We Can Learn from Google Analytics

I visited the Google Analytics platform, but my learning experience accessing a business page did not go well. I was not able to properly navigate and generate some insightful data. However, I looked at the information available and how to maximize the benefits of using this tool.

Google Analytics is a web tool that tracks performance and performs in-depth analysis of a business website. It also provides multiple options to follow key metrics to track marketing objectives.

It has a “built-in Automation” feature that provides fast answers to questions about your Analytics data, predict user behavior, and tap into powerful modeling capabilities. By applying Google’s machine-learning models, Analytics can analyze data and predict future actions people may take, like making a purchase. Companies can then create audiences that are predicted to take these actions to drive conversions or retain more users.

Its Reporting feature show at a glance how customers interact with websites and apps. It is easy to navigate and provide in-depth data for analysis and decision-making. To me the most important are:

- Real Time reports: Allow the company to monitor its site or app as it happens.

- Acquisitions reports show how users reach your site or app through different paid and organic sources.

- Engagement reports: Allow a better understanding of what content drives engagement and conversions to the site or app. The three most used reports are:

1. Events Report: Get a detailed view of user actions, system events, or errors.
2. Conversion Report: See how all your marketing channels are working together to drive conversions.
3. Pages and Screen Report: See which web pages and app screens users engage with the most.

 - Monetization reports: Show how much revenue the website or app generates whether it’s from ecommerce, subscriptions, or ads.

1. Ecommerce: Analyze purchase activity including product and transaction information, average purchase revenue, average purchase revenue per user, and other data.
2. In-App Purchases: Improve the app monetization with insights about the highest performing products and subscriptions.