How to build Google Analytics 4 dashboards in Klips

The shift from Universal Analytics (UA) to Google Analytics 4 (GA4) caught many marketing teams off guard. The data looks different, the interface feels unfamiliar, and stakeholders keep asking questions that are hard to answer when you're still figuring out the new model yourself.

GA4 uses an event-based data model, which may feel natural to product managers using tools like Mixpanel or Amplitude. For most marketers, though, the move away from page-based tracking creates real confusion, especially when the numbers don't match what UA used to show.

Here's one common source of that confusion: GA4 counts multiple conversion events within a single session, while UA has a known issue with accurately tracking multiple goal completions. So the discrepancy you're seeing isn't a mistake. GA4 is more precise.

That precision is valuable, but it also means your team needs a reporting layer that makes the data readable without requiring everyone to learn GA4 from scratch. That's where Klips comes in. Klips lets you build custom dashboards that give your team clear, curated views of your GA4 data, without anyone having to dig through GA4's interface to find an answer.

Connecting Google Analytics 4 to Klips

To connect your GA4 data to Klips, you'll use the GA4 Query Explorer. This tool lets you build and test data queries against your GA4 properties, then bring that data into Klips automatically.

We cover the full process in detail here: How to use the Google Analytics Query Explorer to export data.

Here's what this post covers:

  • What is the GA4 Query Explorer and how does it work?

  • How to use the GA4 Query Explorer

  • Building queries in the GA4 Query Explorer

  • Creating data sources in Klips

  • Examples of Klips using GA4

What is the GA4 Query Explorer and how does it work?

The GA4 Query Explorer is a tool that queries raw data from your GA4 properties. You select the metrics and dimensions you want, and the tool builds the underlying request for you. Once you run the query, the results export as JSON, which Klips uses to set up an automated data connection.

Here's what the Query Explorer looks like with a basic setup:

Google Analytics 4 Klips Simple Set Up

How to use the GA4 Query Explorer

The Query Explorer has a straightforward interface. You select metrics and dimensions from menus, and the tool generates the query in the background. You can test the query at any point to see the output, and adjust your selections as needed.

Here's how to choose which dimensions to include:

Google Analytics 4 Klips Dimensions

Every time you change a menu option, the query updates. You can run it again to check the output before connecting it to Klips.

Here's what a sample output looks like:

Google Analytics 4 Klips Output

To see the underlying code, select "Show request JSON." Copy that snippet and use it to create your GA4 data source in Klips.

Google Analytics 4 Klips Request Output

Building queries in the GA4 Query Explorer

You don't need coding expertise to build queries in the Query Explorer. Metric filters and dimension filters let you narrow the data to exactly what your dashboards need. Here's an overview of the available inputs.

Input Description
Date Range Specifies the time period for data extraction. Select a start and end date using the recommended format (DateRange Documentation).
Metrics Quantitative measurements such as active users or engaged sessions.
Dimensions Qualitative values such as date, session default grouping, or country.
Order by Sorts data based on a selected metric in ascending or descending order.
Metric Aggregations Aggregates metric data using a mathematical function such as SUM or AVG.
Dimension Filter Filters data based on selected dimensions, with match type rules including RegEx.
Metric Filter Filters data based on selected metrics, with match type rules including RegEx.
Limit Sets a cap on the number of rows returned, useful with large datasets.
JSON Request Displays the query JSON request string.
Response Displays query results in table or JSON format.

Creating data sources in Klips

Once you've built your query in the Query Explorer, click "Make Request" to run it. A sample output appears below the snippet.

Copy the JSON code snippet and paste it into the "Query" field in Klips, as shown below. Here's an in-depth article on this process.

Google Analytics 4 Klips Data Connector

Once your data source is live, you can refine it further by generating a data model. From there, you have everything you need to start building GA4 dashboards your team will actually use.

GA4 Klips template examples

The fastest way to get started is with a pre-built template. You can add any of these Klips to your account directly from the Klip Gallery in your account.

Each example below includes the query that powers it, so you can use it as a starting point for your own custom GA4 queries.

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Acquisition by channel

Knowing where your web traffic comes from is the foundation of marketing attribution. This query breaks down acquisition by channel and session medium, with metrics to evaluate each channel's performance.

Google Analytics 4 Klips Parameters

GA4 Query Explorer tip Details
Query Description Get insights into web performance by acquisition channel.
Metrics Users, New Users, Sessions, Bounce Rate, Session Duration, Revenue
Dimensions Channel Grouping, Date, Source Medium
Code Snippet `

Updated 2026-08-31

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