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In today’s fast-paced product and marketing environments, repetitive tasks can consume a significant portion of your time, especially when it comes to setting up analytics tracking for new product features or launches. I’m Ahmed Hassan, AI Product Manager at Adasight, and I want to share with you a powerful approach to automating your tracking plan using AI — no coding required.
This article will walk you through how to leverage AI automation to streamline your workflows, eliminate tedious manual setups, and generate comprehensive tracking plans in just minutes. Whether you’re part of a product, marketing, or analytics team, this guide will help you focus on what truly matters: gaining insights and driving growth.
The Challenge: Repetitive Tracking Setup for Every Product Launch
Over the past few months working closely with various product and data teams, one common pain point became crystal clear: a large chunk of time is wasted on repetitive tasks. Imagine your company launches a new feature or product. Suddenly, your team has to:
- Identify which user events to track
- Determine how those events should be tracked
- Create reports and send them to stakeholders
- Repeat the entire process again for the next launch
This cycle repeats every time, leading to inefficiencies and frustration. Despite the critical importance of analytics, the process can feel like busywork — eating into time that could be better spent on analysis and strategy.
That’s why I started asking myself: Why not use AI to automate this entire process? Could we build a system that understands a product’s user journey, maps out the tracking plan, and generates all the event details with a single click?
The Solution: AI-Powered Automation for Tracking Plans
The answer was yes. We created an AI agent, which we call Compass, designed to automate the creation of tracking plans without requiring any coding or manual intervention. Compass works by scanning your product pages, analysing the user journeys, and then generating a detailed tracking plan that includes:
- The events that need to be tracked
- Event properties and their descriptions
- Business questions that these events can help answer
All of this happens in just 1 to 2 minutes after you provide a URL for the new feature or product page. This means you can skip the tedious checklist and get right to understanding your users’ behaviour.
How Compass Works: A Step-by-Step Breakdown
Let me walk you through how Compass operates behind the scenes, so you can understand the technology that powers this no-code AI agent.
1. Input URL on the Landing Page
First, you enter the URL of the page where your new feature or product is launched into the landing page of Compass. This is the only manual input required.
2. Real-Time Content Scraping with ScrapingBee
Once the URL is submitted, Compass triggers a workflow that uses ScrapingBee, a web scraping tool, to fetch the real-time content from the page. This includes all the elements that a user might interact with, such as buttons, forms, links, and other UI components.
3. Structured Analysis via OpenAI
The scraped content is then sent to OpenAI, which performs a deep, structured analysis. OpenAI interprets the page content and user flows to determine:
- Which events are relevant to track
- How these events should be tracked (e.g., click, page view, form submission)
- What event properties are necessary to capture (e.g., button name, page section)
- Business questions that can be answered from the collected data
This step is crucial because it automates the decision-making process that usually requires expert input from product analysts or data teams.
4. Output to Google Sheets
After OpenAI generates the structured tracking plan, the information is automatically fed into a Google Sheets document. This sheet serves as a clear, accessible output where you can review, edit, or share the tracking plan with stakeholders.
The Tech Stack Behind the Magic
Compass is built using a combination of powerful no-code and AI tools, making it accessible even if you don’t have a technical background:
- Make (formerly Integromat): This is the automation platform that orchestrates the entire workflow, connecting all components from the webhook trigger to the final Google Sheets output.
- ScrapingBee: Used to scrape the live content of the provided URL in real-time, ensuring the AI agent works with the most up-to-date page structure.
- OpenAI: The core AI engine that analyses the scraped content and generates the tracking plan.
- Google Sheets: The output destination, providing a familiar and shareable format for the tracking plan.
This combination allows you to create a sophisticated AI agent without writing a single line of code.
Benefits of Automating Your Tracking Plan with AI
By automating the tracking setup, you gain several key advantages:
- Save Time: What used to take hours or days can now be done in minutes. No more repetitive manual checklists.
- Reduce Errors: Automating the event identification and mapping process reduces the risk of missing important events or inconsistent tracking setups.
- Increase Agility: Quickly generate tracking plans for new features or client onboarding, allowing your team to focus on analysis and decision-making.
- Enhance Collaboration: Google Sheets outputs make it easy to share the tracking plans with stakeholders, developers, and marketing teams.
- Democratize Analytics Setup: No coding skills? No problem. The no-code workflow empowers non-technical team members to generate tracking plans independently.
Use Cases: Who Can Benefit from This AI Automation?
This AI-driven approach is incredibly versatile and useful for a range of roles and scenarios, including:
- Product Managers: Quickly create tracking plans for every new feature launch without relying heavily on data teams.
- Data Analysts: Automate the groundwork of event mapping to focus on deeper data insights.
- Marketing Teams: Ensure accurate event tracking for campaigns and user funnels without manual setup.
- Analytics Consultants: Speed up client onboarding by automatically generating initial tracking plans.
Final Thoughts: Embrace AI to Automate the Boring Stuff
Repetitive, manual tracking setup is a pain point for many teams, but it doesn’t have to be. By leveraging AI automation, you can transform this tedious process into a seamless, efficient workflow that saves time and improves accuracy.
Compass, our AI agent built with no-code tools and OpenAI, demonstrates how technology can empower teams to focus on what really matters — understanding user behaviour and driving business growth. Whether you’re launching a new product feature or onboarding a new client, automating your tracking plan is a game-changer.
If you want to explore this approach further, I encourage you to experiment with integrating AI tools like OpenAI and workflow platforms like Make. The future of analytics is smarter, faster, and more automated — and it’s here today.
Frequently Asked Questions (FAQ)
What is a tracking plan, and why is it important?
A tracking plan is a documented list of user interactions (events) you want to monitor within your product, along with details about how to capture them (event properties) and the business questions they answer. It ensures consistent and accurate data collection for analytics.
Do I need coding skills to use AI automation for tracking plans?
No. The solution described uses no-code tools like Make and Google Sheets, combined with AI services such as OpenAI. This means anyone with basic technical understanding can set it up and use it.
How long does it take to generate a tracking plan with this AI agent?
Typically, the AI agent takes 1 to 2 minutes to scan your product page and produce a complete tracking plan.
Can this AI agent handle complex products with multiple user journeys?
Yes, the AI analyzes real-time page content and user flows to understand multiple interactions. However, very complex products may require additional customization or manual review.
Is the data processed securely when using tools like ScrapingBee and OpenAI?
Both services follow industry-standard security practices. However, always review the privacy policies and ensure compliance with your organisation’s data security requirements before integrating third-party tools.
Can I customize the tracking plan generated by the AI?
Absolutely. The tracking plan is output to Google Sheets, allowing you to review, edit, and tailor the plan to your specific needs before implementation.
How can I get started with building my own AI agent for analytics?
Begin by exploring no-code automation platforms like Make, integrating web scraping APIs such as ScrapingBee, and experimenting with OpenAI’s API for natural language processing. There are many tutorials and templates available to guide you through the process.
