Problem statement

While we currently leverage Cloudflare for user traffic insights, we lack a comprehensive understanding of user behaviors and preferences when they interact with our landing page. This limited understanding impedes our ability to effectively optimize the user experience and identify potential opportunities for improvement.

Proposed solution

I propose we enhance our analytics capabilities by integrating Vercel Analytics or Google Analytics with data layers on our landing page. These platforms offer a more granular and comprehensive view of user behavior, which can inform future design and content decisions.

Vercel Analytics or Google Analytics

Implementing Vercel Analytics or Google Analytics could provide a more detailed picture of our users' interactions. This could include metrics such as time spent on the page, pages visited after the landing page, and the geographical location of our users.

Data Layers

Data layers can be used to capture additional user actions on the page, such as clicks on specific elements or scrolling behavior. This information can be invaluable in understanding how users are interacting with our landing page and where we can make improvements.

Projected Benefits

With these implementations, we can:

1. Improve user experience by understanding the users' journey and behavior on our landing page.
2. Tailor content and design to user preferences and behavior, potentially increasing conversion rates.
3. Provide the team with valuable insights to inform future decision-making and strategy.

Action plan

Here is a detailed breakdown of the tasks we need to complete in order to implement the proposed analytics enhancement:

• Research & Selection:
  • Evaluate Vercel Analytics: Understand its capabilities, cost, and ease of integration.
  • Evaluate Google Analytics: Understand its capabilities, cost, and ease of integration.
  • Make a decision: Choose the most appropriate platform based on the evaluation results.
• Preparation:
  • Define required data layers: Identify which user actions (clicks, scrolls, navigation patterns, etc.) are the most relevant to our needs.
  • Prepare implementation plan: Outline the steps for integrating the chosen analytics platform and data layers.
• Implementation:
  • Configure the chosen analytics platform: Set up the platform according to our needs and the implementation plan.
  • Implement data layers: Add the defined data layers to our landing page.
  • Verify data collection: Ensure that the data is being collected and reported as expected.
• Analysis & Iteration:
  • Regular data review: Schedule regular reviews of the collected data to extract insights.
  • Implement enhancements: Make data-driven decisions to improve the user experience based on these insights.
• Expansion:
  • Evaluate effectiveness: Validate the impact of the analytics implementation on the landing page.
  • Plan expansion: If successful, plan the extension of the implementation to other parts of our platform, such as the documentation pages.

Next Steps

We propose starting with the landing page for this initiative, as it's typically the first point of contact for users. Once we have validated the effectiveness of our approach there, we can consider extending this analytics implementation to other areas of our platform, such as the documentation pages.

References for Further Reading

To support the research and implementation phases, the following resources may be helpful:

Vercel Analytics Documentation
Google Analytics for Beginners
Google Tag Manager: Data Layers

Let's use these resources and action steps to inform our discussion and drive forward the implementation of enhanced analytics on our landing page.

Add Lucas and Aluisio to Teams section in the ExpressoTS Site

The Tutorial link on footer is broken. I think that should point to https://doc.expresso-ts.com/docs/category/tutorials but not sure.