Digital marketing campaigns effectively promote products and services, reaching a wider audience and diverse markets. They help build a vast customer base, boosting customer retention, lead generation, and profits.

Successful marketing campaigns require a deep understanding of customers to optimize content, making it more appealing and personalized, thus enhancing customer experience.

Klaviyo helps eCommerce marketers gain insights into their customers, providing personalized, customer-centric content across various channels. This boosts customer growth, retention, loyalty, and profitability.

This article offers a step-by-step guide to integrating Klaviyo with Google Data Studio for effective marketing data analysis.

Introduction to Klaviyo

Klaviyo Logo.
Image Source- Get Vector Logo

Klaviyo is a robust Growth Marketing Platform that allows online-based businesses to deliver more Dynamic, Personalised and Customer-Centric experiences to users across numerous Marketing Channels such as SMS, Emails, Web, In-App Notifications, etc.

It houses various intuitive features such as Audience Segmentation, Performance Reporting, and Integration with multiple Platforms. It further leverages metrics such as Viewing and Purchasing History, Customer Interaction Patterns with past Emails and rolled out Targeted Marketing Campaigns.

Introduction to Google Data Studio

Google Data Studio Logo.
Image Source- Call Tracking Metrics

Google Data Studio is a powerful Reporting Analytics Tool made available to users by Google, free of cost. It supports robust integration with almost 200+ Connectors and allows users to create informative dashboards and business reports with ease.

With Google Data Studio in place, you can generate business reports based on a mix of crucial KPIs from diverse Data Sources without writing code. It also provides users with a built-in dashboard template library, thereby helping them always track the right set of metrics.

Prerequisites

  • Working Knowledge of Klaviyo.
  • Working Knowledge of Google Data Studio.
  • A Google Data Studio Account.
  • A Klaviyo Account.

Methods to Set Up Klaviyo Data Studio Integration

There are multiple ways in which you can set up the Klaviyo Data Studio integration:

Method 1: Using Third-Party Connectors to Set Up Klaviyo Data Studio Integration

Currently there is no Connector developed by the Google Team for connecting Klaviyo to Google Data Studio, thus, you will have to make use of a third-party Connector to achieve this.

To leverage any third-party Klaviyo Connector, you will have to grant access to it to access your Klaviyo, and Google accounts to start visualising your data in Google Data Studio.

You can implement this using the following steps:

Step 1: Signing In to Google Data Studio

To start setting up the Klaviyo Data Studio Integration, you first need to log in to Google Data Studio. To do this, go to the official website of Google Data Studio and log in with your credentials such as username and password. You can also log in using a signed in and associated Google account.

Google Data Studio Login Page.

Step 2: Locating a Klaviyo Connector for Google Data Studio

Once you’ve signed in, click on the “Connect to data” option, found at the top of your screen to start searching for a Klaviyo Connector. Once you’ve clicked on it, a new page representing a list of numerous Connectors that you can use to connect Google Data Studio will now open up on your screen.

Searching for Klaviyo Connectors.

Here, you need to scroll down to the section of partner Connectors, where you’ll find numerous third party Connectors for Klaviyo and other Marketing & Ads Data Sources.

Selecting the Klaviyo Connector.

Step 3: Configuring the Klaviyo Data Studio Connector

Once you’ve selected a Connector of your choice, you will now need to configure and authorize it. To do this, click on the “Authorize” button on your screen.

A new window will now open up on your screen, where you’ll need to provide Klaviyo, access to your Google Data Studio account.

To do this, first, choose the desired Google account that you want to use and then click on allow.

With your Google account now linked, you need to authorize Google Data Studio to use the third party Connector. To do this, click on the “Authorize” button.

Klaviyo Data Studio Integration: Authorising Data Studio.

Once you’ve authorised Google Data Studio, a new dialogue box will now open up on your screen. Here, you’ll need to sign in to your Klaviyo account by providing your credentials such as username and password; to set up the Klaviyo Data Studio integration.

Once you’ve logged in successfully, a new window will now open up on your screen, representing a dashboard for your Klaviyo account.

This is how you can set up the Klaviyo Data Studio integration using third party connectors.

Limitations of Using a Third Party Connector

The following are some of the challenges that you will face while setting up the Klaviyo Data Studio integration:

  • Currently, Google doesn’t provide an official Klaviyo Connector developed by them, and hence you will have to leverage third-party Connectors to achieve this. Using and providing access for your Google & Klaviyo accounts to a third party Connector can result in a data & security breach.
  • It does not allow you to load data from Klaviyo to Google Data Studio in real-time.

Method 2: Using Hevo Data, a No-code Data Pipeline

Gone are the days of sitting down and manually optimising your data to get rid of inconsistencies, silos and managing data losses.

Hevo takes care of all your pre-processing needs and lets you focus on key business activities and develop a much powerful insight on how to generate more leads, retain customers and take your business to new heights of profitability.

Steps to use Hevo Data

Hevo focuses on three simple steps to get you started:

  • Connect: Connect Hevo Data with Klaviyo by simply providing the API key for your Klaviyo account, along with a unique name for your pipeline. You can also configure the amount of historical data you want to sync. To do this, select the time duration (in months) from the Historical Data Sync option.
  • You can also check out our impeccable documentation that’ll help clarify any queries that you might have about connecting with Klaviyo.
  • Integrate: Consolidate your Marketing Data from several sources in Hevo’s Managed Data Integration Platform and automatically transform it into an analysis-ready form.
  • Visualise: Connect Hevo with your desired BI tool such as Google Data Studio and easily visualise your unified marketing data to gain better insights.

Check out what makes Hevo amazing

  • Secure: Hevo has a fault-tolerant architecture that ensures that the data is handled in a safe & consistent manner with zero data loss.
  • Schema Management: Hevo takes away the tedious task of schema management & automatically detects schema of incoming data and maps it to the destination schema.
  • Robust Integration with BI tools: Hevo supports connecting with numerous BI tools such as Tableau, Looker, PowerBI, etc. in a matter of minutes and lets you analyse your sales & marketing data in a completely secure and hassle-free manner in real-time.
  • Incremental Data Load: Hevo allows the transfer of data that has been modified in real-time. This ensures efficient utilisation of bandwidth on both ends.

Conclusion

This article teaches you how to set up the Klaviyo Data Studio integration with ease.

It also provides in-depth knowledge about the concepts behind every step to help you understand and implement them efficiently.

Carrying out an in-depth analysis of your marketing data requires you to integrate data from a diverse set of Marketing Data Sources. 

Nicholas Samuel
Technical Content Writer, Hevo Data

Nicholas Samuel is a technical writing specialist with a passion for data, having more than 14+ years of experience in the field. With his skills in data analysis, data visualization, and business intelligence, he has delivered over 200 blogs. In his early years as a systems software developer at Airtel Kenya, he developed applications, using Java, Android platform, and web applications with PHP. He also performed Oracle database backups, recovery operations, and performance tuning. Nicholas was also involved in projects that demanded in-depth knowledge of Unix system administration, specifically with HP-UX servers. Through his writing, he intends to share the hands-on experience he gained to make the lives of data practitioners better.