One analytics platform isn't always enough. Google Analytics tracks general behavior. A product analytics platform tracks advanced events. A session recording tool records visits. A CDP syncs data to multiple destinations. You use different tools for different purposes. But multiple tools create challenges. You need consistent data across platforms. You need to avoid duplication. You need to sync data between systems. Managing multiple platforms requires strategy.
This article explains how to use multiple analytics platforms effectively.
Decide Which Tools You Actually Need
Not every tool is worth implementing. Each tool adds complexity. Each tool requires maintenance. Each tool costs money. Before adding a tool, verify you need it.
Google Analytics handles general analytics. Traffic. Behavior. Conversions. It's comprehensive. Don't add tools to replace it. Add tools for what it doesn't do.
A customer data platform (CDP) is useful if you need data in multiple places. If you send data to Google Analytics, Facebook, email platform, and data warehouse, a CDP simplifies this. One integration instead of many.
Define Each Tool's Purpose
If you use multiple tools, each should have a clear purpose. Google Analytics for overall metrics. A product analytics platform for product analytics. A CDP for data distribution. A session recording tool for recordings. Each tool fills a gap.
Document each tool's purpose. Why do we use it. What questions does it answer. When team members ask about tools, they know which tool to use for what question.
Don't use multiple tools for the same purpose. Don't use both Google Analytics and a product analytics platform just for traffic metrics. Choose one for general metrics. Use the other for what the first doesn't do.
Use a Data Collection Layer
A data collection layer sits between your website and analytics platforms. You send data to the layer. The layer distributes it to multiple platforms. This simplifies implementation and prevents duplication.
Google Tag Manager is a data collection layer. You configure it once. It sends data to Google Analytics, Facebook, your CDP, and others. Each platform gets the data it needs.
A data collection layer also makes it easier to change tools. You want to switch from Tool A to Tool B. You update the data collection layer. Your website tracking code stays the same.
Ensure Data Consistency
Different platforms define metrics differently. Google Analytics might count a session as 30 minutes of inactivity. A product analytics platform might count it as activity-based. Numbers differ even though they're measuring the same thing.
Document these differences. When comparing data across platforms, account for differences. This prevents confusion.
For critical metrics, validate consistency. Check that traffic numbers are similar across platforms. Check that conversion numbers match. If they diverge significantly, investigate why.
Prevent Event Duplication
If multiple platforms track the same events, you might count events twice. A purchase event sent to both Google Analytics and a product analytics platform counts as two purchases.
Deduplicate using event IDs. Give each event a unique ID. Each platform deduplicates using this ID. Only the first instance counts.
Or use a single source of truth. Send events to one central system. That system distributes to multiple platforms. This prevents duplication at the source.
Sync Data Between Platforms
Sometimes you need data from one platform in another. User IDs from your CRM in your analytics platform. Conversion data from analytics in your data warehouse.
Use APIs to sync data. Most platforms have APIs. You can pull data from one and push to another. Automate this process. Don't rely on manual exports.
Document the sync. What data flows where. When does it sync. What transformations happen. This documentation helps troubleshooting when something breaks.
Monitor Data Quality Across Platforms
With multiple platforms, data quality is harder to track. Each platform has its own errors. Each platform has its own reporting delays.
Set up monitoring. Are all platforms receiving data. Are numbers consistent. Are there unexplained divergences. Alert on problems.
Frequently asked questions
How many analytics tools should we use?
As few as possible. Each tool adds complexity and cost. But use what you need. Most companies use 2-4 tools. One general platform. One specialized platform. One data warehouse. One marketing tool. More than that becomes hard to manage. With WEMASY's website builder, you can set this up directly on your website.
Is it worth using both Google Analytics and a product analytics platform?
Yes if they serve different purposes. Google Analytics for traffic and broad behavior. A product analytics platform for advanced product analytics. But if you're only doing basic analytics, Google Analytics alone is enough.
Do we need a CDP if we only use Google Analytics?
No. A CDP adds complexity you don't need if you're only using one platform. Use a CDP when you need data in multiple places. If it's just Google Analytics, implement Google Analytics directly.
What if data conflicts between platforms?
Document the differences. Different platforms calculate metrics differently. Understand these differences. When comparing data, account for them. Choose one platform as source of truth for each metric.
Can we migrate from one analytics platform to another?
Yes. Set up the new platform. Run both in parallel. Compare data. When you're confident they match, switch to the new one only. Historical data in the old platform stays there. New data goes to the new one.
How do we choose which platform is the source of truth?
Choose the most comprehensive platform. Google Analytics usually. It's your main source. Other platforms complement it. When in doubt, check the main platform first.