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Sprig vs Matomo - Comparison 2025

Sprig vs. Matomo

Last updated on

Reviewed by Camin McCluskey

Stackfix Co-Founder & CTO

CM

Matomo and Sprig serve distinctly different needs in the product analytics space. Matomo is better suited for organizations requiring a comprehensive web analytics solution with broad functionality, particularly those who value data sovereignty and extensive export capabilities. However, its dated interface and steep learning curve make it challenging to adopt.

Sprig, on the other hand, excels as a specialized user research and feedback tool, offering superior ease of use and outstanding survey capabilities. It's ideal for product teams focused on gathering qualitative user insights and behavioral data, though it lacks the broad analytical capabilities of Matomo.

Sprig Product Logo

Advantages of Sprig

Sprig is vastly superior in ease of use compared to Matomo
Sprig offers a much more intuitive interface than Matomo's confusing and dated design. This is particularly valuable for teams who need to get up and running quickly without extensive training.
Sprig excels at in-app surveys and user feedback collection
Sprig excels in creating in-app surveys, offering a comprehensive survey builder that integrates seamlessly with heatmaps and session replays. We find this approach ideal for teams focused on gathering qualitative user feedback.
Sprig offers superior initial setup experience
Sprig provides a much smoother onboarding experience than Matomo, allowing teams to start collecting analytics within their first hour of use.
Matomo Product Logo

Advantages of Matomo

Matomo is significantly more comprehensive in functionality than Sprig
While Sprig focuses primarily on user behavior analytics, Matomo offers a broader range of features including web analytics, heatmaps, session replays, and A/B testing capabilities. This makes it particularly valuable for teams needing an all-in-one analytics solution rather than multiple specialized tools.
Matomo offers superior data exportability compared to Sprig
Matomo provides robust data export capabilities, offering both self-serve export options and a strong API for programmatic data access. This is particularly valuable for teams that need to integrate analytics data with other business systems.

Sprig is best for

  • Businesses with UX teams seeking deep behavioral insights through AI-powered surveys and session replays
  • Businesses with product and UX teams focused on understanding qualitative user behavior
  • Who need to combine in-app surveys with visual analytics like heatmaps and session replays
  • And/or who need AI-assisted analysis to quickly generate insights from user behavior data

Matomo is best for

  • Businesses with moderate traffic seeking a privacy-focused web analytics tool with bonus features
  • Who need core web analytics plus advanced features like heatmaps and session replays
  • And/or who need the flexibility to self-host their analytics platform

Sprig is less good for

  • Businesses needing comprehensive event-driven analytics and quantitative data analysis
  • Businesses with heavy server-side tracking requirements
  • Who need advanced cohort analysis and user segmentation capabilities
  • And/or who need comprehensive user journey mapping and UTM tracking

Matomo is less good for

  • Businesses with teams who need a modern, intuitive analytics interface for quick insights
  • Who need automatic event capture capabilities without manual setup
  • And/or who need enterprise-grade security certifications like SOC 2 Type II and ISO 27001

Gallery

Sprig logoSprig
Sprig screenshot
Matomo logoMatomo
Matomo screenshot

Pricing, features & ratings

Sprig logo

Sprig

Starting at

$0

Converted from GBP

Billed monthly

Pricing calculatorVisit Website
Matomo logo

Matomo

Starting at

$26

Billed monthly

Pricing calculatorVisit Website
Stackfix Verdict
Functionality
5

Functionality

5/10

<p>Sprig is another excellent user behaviour analytics tool, providing deep insight across heatmaps, session replays, surveys, feedback mechanisms, and more.</p><p>This is much more focused and narrow than a full-suite analytics tool, lacking more event-driven analytics capabilities. Sprig, similar to Hotjar which is best-in-class for user behaviour analytics, works best in tandem with a more quantitative and event focused analytics suite.</p><p>Features focus more on understanding user behaviour across your product like click maps, pain points, and replays, and less on analysing large datasets of aggregated data across pages.</p>
7

Functionality

7/10

<p>For a web analytics tool, we were pleasantly surprised by the depth of functionality that Matomo offers. Features such as heatmaps, session replays and scroll depth tracking are all unique when looking at Matomo's competitors. We also appreciate that the tool is open source and can be self-hosted should you wish.</p>
Ease of Use
8

Ease of Use

8/10

<p>A very well designed site, with an equally intuitive process. This is especially helped by the AI features which allows you to use everyday language to prompt powerful analyses workflows.</p>
3

Ease of Use

3/10

<p>Given the sheer breadth of functionality and dated design, we found Matomo frustrating and confusing to use. Most of its interfaces are non-standard when compared with modern web analytics products and its more powerful features take a lot of effort to fully configure. It would take an average SMB employee several hours to master the platforms use.</p>
Look and feel
7

Look and feel

7/10

<p>This is a very well designed site, with a great feel and intuitive interface that encourages use. Clear menus help navigation, with a very usable lefthand panel menu serving as the navigation point across features.</p><p>Filters on each feature view help with sifting through data, and we've found their AI assisted analysis to be particularly well integrated into their site by offering a visible and consistent presence without overpowering the user journey.</p>
2

Look and feel

2/10

<p>Matomo's design is very dated. Most interfaces are extremely overwhelming, confusing or clunky. Given the sheer breadth of functionality on offer this isn't exactly surprising. Additionally, we found many pages to be sluggish to load (taking &gt;3 seconds).</p>
Customisability
7

Customisability

7/10

<p>Sprig offers customisation to a degree, however true granular control is something it trades off against a more intuitive and immediately effective platform that caters to more users. Dashboards and tools have certain levels of customisability, but there is no true drag and drop or custom dash type functionality within the program.</p>
7

Customisability

7/10

<p>Matomo offers a lot of scope for customization. From custom reports to A/B tests there are a number of fine tweaks, visualization changes or experiment details which can be fine tuned to get the most out of your analytics experience. Additionally the product is open-source meaning you can self-host it if you wish to.</p>
Ease of Setup
8

Ease of Setup

8/10

<p>Onboarding was a quick process, allowing for very quick access to the software with enough working knowledge to get started immediately. The average employee should be able to get up and running with some analytics within their first hour of use.</p>
5

Ease of Setup

5/10

<p>Matomo offers a self-serve free trial like most of the tools in this sector. In terms of setup, most websites will only need to install a simple code snippet to access full functionality. That being said, if you want to take advantage of the more powerful features such as heatmaps, there is a fair amount of additional customization and setup required in the dashboard itself which can take several days.</p>
Customer Support
4

Customer Support

4/10

<p>Access to customer support can be difficult, as we've found in our testing at least that support both by chat bubble and by menu only indicated that support is offline and will be back soon. No further information or alternative resources were presented. A separate web search had to be made to learn the support hours of Monday - Friday 8 AM - 5 PM Pacific Standard Time (UTC-8).</p><p>Whilst Sprig manages to stay in line with other products in the category with its help and resources button in clear view on the lefthand menu pane, most resources are just a text link to external pages- making a slightly less informative process than the best we've seen from platforms like Userpilot and their in-window support.</p>
3

Customer Support

3/10

<p>Like with most analytics tools, developer documentation and knowledge bases are the primary avenue for support. Unfortunately we found Matomos to be poorly laid out and hard to navigate. Beyond that, they offer a ticket system for help queries which take a few days to get responses from.</p>
Integratability
6

Integratability

6/10

<p>Sprig's ability to integrate is fairly average, connecting with your typical data sources, connecting to other software that would complement and extend integrations like PostHog and Zapier respectively.</p>
7

Integratability

7/10

<p>Matomo offers an extensive API that goes beyond just gathering stats - it also allows you to access live data and make changes to goal/website configuration. Additionally, we were pleased to see easy set up with Google tag manager and BigQuery.</p>
Ease of Migration
5

Ease of Migration

5/10

<p>Typical export functions such as webhooks, CSV, and more are available.</p>
8

Ease of Migration

8/10

<p>Matomo offers self-serve export of key data directly from its web app. Additionally, it also offers a strong API through which you can pull data programatically.</p>
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