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Dataslayer vs. SuperMetrics

Dataslayer vs. SuperMetrics: Which One Fits Your Business Better?

Are you confused about which marketing data integration tool to choose for your website? The Dataslayer vs SuperMetrics debate just got hotter!...

So, you are a data-driven marketer who absolutely swears by the importance of creating, publishing, and promoting content backed by the truth serum of the never-lying numbers!

You know the importance of pulling data from multiple sources and tracking blog visits, engagement rates, post likes, re-shares, and video comments to determine what’s hot and what’s not. 

If it cannot be quantified, it doesn’t count! 

After scouring the web for the best marketing data visualization tools, you’ve narrowed down your search to SuperMetrics and Dataslayer. Now, it’s time to delve into a practical comparison of these tools. 

As a number-crunching marketer, you hold the power to choose the right-fit marketing data integration tool for your business website. To make this decision, you need an honest comparison of the features, pros, and cons of both SuperMetrics and Dataslayer, as well as their use cases. 

We at Mavlers have done our fair share of research for you and present an honest and unbiased comparison of marketing data tools between SuperMetrics and Dataslayer.

In this blog, you seek to gain clarity on:

  • Overview & features of Dataslayer & SuperMetrics
  • Pros and cons analysis of Dataslayer & Supermetrics
  • Dataslayer vs. SuperMetrics: A detailed comparison
  • Best marketing data tool: Which one fits your business?

Towards the end of this blog, you will be able to make the right marketing data tool decision for your business. 

Let’s hit the throttle, shall we?! 

Overview & features of Dataslayer & SuperMetrics

Let’s break down these tools for greater clarity and easier understanding!


Dataslayer is a tool that helps marketers and analysts easily gather data from various digital marketing platforms. Check out some of its cool features.

  • Data integration: It pulls data from different sources, such as Google Ads, Facebook Ads, and Google Analytics, into one place.
  • User-friendly: Designed to be simple, it integrates with Google Sheets and Data Studio, making it easy for users to visualize and work with their data.
  • Automation: Automates the data collection process, saving time and reducing the risk of manual errors.
  • Affordable: Often seen as a cost-effective solution for small to medium-sized businesses that need reliable data without spending a lot.


SuperMetrics is another tool for data integration and reporting, but it has a broader range of capabilities and features.

  • Wide range of connectors: Supports a large number of data sources, including major marketing and analytics platforms like Google Ads, Facebook Ads, LinkedIn, Twitter, and many others.
  • Flexibility: Works with Google Sheets, Excel, Google Data Studio, and various BI tools, allowing users to choose where they want to see and analyze their data.
  • Automation and scheduling: This enables users to automate their data reporting processes and schedule regular updates, which helps keep reports current without manual intervention.
  • Advanced features: Offers more advanced functionalities, like custom metrics and dimensions, making it suitable for larger businesses and agencies with complex data needs.
  • Comprehensive support: Provides extensive customer support and resources, which helps users get the most out of the tool.

Pros and cons analysis of Dataslayer & Supermetrics

Let’s begin by discussing the pros and cons of SuperMetrics and Dataslayer.



  • Wide range of data sources: Supports over 50 data sources, including major marketing and analytics platforms such as Google Ads, Facebook Ads, LinkedIn, Twitter, Bing Ads, and more.
  • Integration flexibility: Works seamlessly with Google Sheets, Excel, Google Data Studio, and various BI tools like Power BI, Tableau, and BigQuery.
  • Advanced automation: Offers sophisticated scheduling and automation features, enabling users to set up regular data fetches and updates without manual intervention.
  • Customization: Allows custom metrics and dimensions creation, providing flexibility to tailor reports to specific needs.
  • Comprehensive support: Extensive customer support, including detailed documentation, tutorials, and a responsive helpdesk.
  • Scalability: Designed to handle large datasets and complex reporting needs, making it suitable for large businesses and agencies.
  • Performance and reliability: Known for robust performance and reliable data fetching capabilities.


  • Cost: Higher pricing of SuperMetrics, especially for advanced plans and larger data needs, which might be prohibitive for smaller businesses.
  • Complexity: Advanced features and extensive customization options can be overwhelming and require a steeper learning curve for new users.
  • Integration setup: Some integrations may require more effort and technical knowledge to set up properly.
  • Support response time: While support is comprehensive, response times can sometimes be slower, particularly for complex issues.



  • Ease of use: The user-friendly interface and straightforward setup make it easy for users to integrate data quickly.
  • Affordability: More budget-friendly pricing of Dataslayer, making it accessible for small to medium-sized businesses.
  • Essential integrations: Supports key platforms such as Google Ads, Facebook Ads, Google Analytics, and more, covering most basic needs.
  • Google Sheets and Data Studio integration: Works well with Google Sheets and Data Studio, allowing easy data visualization and manipulation.
  • Automation: Provides good automation features for routine data collection and reporting tasks, saving time and reducing manual errors.
  • Customer support: Good customer support with helpful resources, ensuring users can get assistance when needed.
  • Simplicity: Focuses on essential features, providing a clutter-free experience for users with straightforward needs.


  • Limited data sources: Fewer supported data sources compared to SuperMetrics, which may be limiting for businesses with diverse data needs.
  • Advanced features: Lacks advanced features such as custom metrics and dimensions, making it less suitable for complex reporting requirements.
  • Scalability: This may not scale as effectively for very large enterprises or agencies with extensive data integration needs.
  • Integration platforms: These are limited to primarily Google Sheets and Data Studio and lack the broader integration options available in SuperMetrics.
  • Customization: Offers less customization, which might not meet the needs of users requiring highly tailored reports.
  • Performance variability: Performance can vary based on data volume and complexity, affecting reliability for large datasets.

Now that we know the pros and cons of both marketing data integration platforms, let’s conduct a comprehensive comparison based on different parameters.

Dataslayer vs. SuperMetrics: A detailed comparison

Let’s now answer the main question: which one will suit your needs best?!

Best marketing data tool: Which one fits your business?

When choosing between Dataslayer and SuperMetrics, it’s essential to consider your specific business needs, technical expertise, and budget. Here’s a summary to help you decide which tool is the best marketing data tool for your business:

  • Ease of Use: Dataslayer is the better choice if you need a straightforward, user-friendly tool that doesn’t require extensive technical knowledge.
  • Data source integration: If integrating data from a wide range of marketing platforms is critical, SuperMetrics offers the most extensive list of supported sources.
  • Customization and flexibility: SuperMetrics stands out for businesses that require advanced data manipulation and custom reporting capabilities.
  • Automation and scheduling: SuperMetrics excels in providing comprehensive automation options, making it ideal for handling large datasets efficiently.
  • Cost and value: If budget constraints are a significant concern, Dataslayer provides excellent value for money without compromising essential features.

The road ahead

Now that you are familiar with and hopefully closer to making the right marketing data tool choice for your business, you might be considering the costs of outsourcing vs. insourcing your firm’s digital marketing activities. We can help you with that as well! 🙂

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Swapnil Jaykar - Subject Matter Expert (SME)

Swapnil Jaykar is an avid data analyst driven by the thrill of uncovering trends and insights in the world of data analytics. With a passion for decoding patterns and a commitment to sharing knowledge, he strives to illuminate the evolving landscape of data analysis, enriching the community with expertise and enthusiasm.

Naina Sandhir - Content Writer

A content writer at Mavlers, Naina pens quirky, inimitable, and damn relatable content after an in-depth and critical dissection of the topic in question. When not hiking across the Himalayas, she can be found buried in a book with spectacles dangling off her nose!

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