What matters when comparing Analytics & product intelligence?

QUICK ANSWER

Start with a representative task and the people who will do it. Evaluate event accuracy, identity handling, consent settings, retention, and query limits. Test the same inputs across your shortlist and record output quality, manual work, and current plan terms.

What to do next

Write down what you need

Choose one task you need help with. Understand product usage, traffic, and customer behaviour. Note who will use the tool, what a good result looks like, and anything it must connect to.

Try the same task in each tool

Pick two or three options and give them the same example. Try a normal task and a difficult one. Record the result, any corrections, and how much time the work takes.

Check the cost and important limits

Ask specific questions before paying. For Google Analytics: Test event accuracy, identity handling, consent settings, retention, and query limits in the exact plan you intend to use. Check the same requirements with the other options, including access, exports, and the price of the plan you need.

Useful tools to explore

Open a profile for more detail, or check the vendor’s current plans.

Google Analytics

Product teams and analysts considering Google Analytics for this job: Website and application analytics.

Mixpanel

Product teams and analysts considering Mixpanel for this job: Product usage and event analytics.

Amplitude

Product teams and analysts considering Amplitude for this job: Product analytics and user behaviour.

Before you decide

  • Use your own example instead of relying only on a demo.
  • Ask the people who will use the tool to try it.
  • Check the full cost, including extra users and add-ons.
  • Make sure you can export your work if you leave.
Keep in mind

A long feature list does not show how well a tool works for your task. Choose using the results of your own test.

A LITTLE FEEDBACK GOES A LONG WAY

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