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Sprig vs Hotjar - Comparison 2025

Sprig vs. Hotjar

Last updated on

Reviewed by Camin McCluskey

Stackfix Co-Founder & CTO

CM

In comparing these specialized user behavior analytics tools, Hotjar and Sprig are quite similar in scope. Hotjar stands out for its exceptional session replay capabilities and visual interface optimization, making it ideal for UX teams focused on understanding user behavior through visual analysis.

Sprig, on the other hand, distinguishes itself with superior in-app survey functionality and real-time dashboard capabilities, making it better suited for teams prioritizing user feedback collection and immediate data visualization. Both tools are designed to complement rather than replace comprehensive analytics platforms, with Hotjar offering a more streamlined visual analysis approach and best in class heatmap and replay functions and Sprig providing stronger survey-based user research capabilities.

Sprig Product Logo

Advantages of Sprig

Sprig excels at in-app surveys compared to Hotjar
Sprig's survey capabilities are exceptional, with a sophisticated survey builder that integrates seamlessly with heatmaps and session replays. This provides a more comprehensive analysis around user feedback compared to Hotjar's more basic survey functionality.
Sprig offers superior real-time dashboard functionality compared to Hotjar
Sprig's reporting dashboards update in real-time with powerful filtering capabilities across unlimited custom dashboards. This offers more flexibility and immediate insight compared to Hotjar's more basic dashboard functionality.
Hotjar Product Logo

Advantages of Hotjar

Hotjar is significantly better at session replay functionality than Sprig
While both tools offer session replay capabilities, Hotjar's implementation stands out with its intelligent organization system that automatically categorizes recordings by behavior patterns like rage clicks and u-turns. This makes it much more efficient for UX teams to identify and prioritize the most important user sessions to review compared to Sprig's more basic replay features.
Hotjar offers superior visual interface design compared to Sprig
Hotjar's interface is specifically optimized for visual analytics with remarkably fast load times (<1s) for heatmaps and smooth playback for recordings. While Sprig has a good interface, Hotjar's purpose-built design makes complex behavioral data more immediately accessible and interpretable.
Hotjar provides easier initial setup than Sprig
Hotjar requires only a single JavaScript snippet installation and begins delivering valuable insights immediately with no additional configuration needed. While Sprig also offers quick setup, Hotjar's implementation is more streamlined for immediate value.

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

Hotjar is best for

  • Businesses with strong emphasis on understanding user behavior through visual insights
  • Who need an intuitive, fast-loading platform requiring minimal technical expertise
  • And/or who need intelligent session replay categorization for efficient UX research

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

Hotjar is less good for

  • Businesses with complex quantitative analytics needs who require deep event tracking and cohort analysis
  • Who need comprehensive data warehouse integration with platforms like BigQuery or Snowflake
  • And/or who need advanced quantitative features like cohort analysis and A/B testing capabilities

Gallery

Sprig logoSprig
Sprig screenshot
Hotjar logoHotjar
Hotjar screenshot

Pricing, features & ratings

Sprig logo

Sprig

Starting at

$0

Converted from GBP

Billed monthly

Pricing calculatorVisit Website
Hotjar logo

Hotjar

Starting at

$0

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>
6

Functionality

6/10

<p>Hotjar dominates in visual analytics with industry-leading heatmaps and session recordings. While purposely narrower than full-spectrum analytics platforms, its specialized tools for click/tap tracking, scroll depth, mouse movement, and rage clicks provide unmatched visual behavior insights. It's best used alongside a more quantitative, events centric tool.</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>
8

Ease of Use

8/10

<p>Hotjar excels in user experience with an exceptionally intuitive interface that makes complex behavioral data accessible through visual representations. The tool requires virtually no training even for non-technical users, with self-explanatory visualizations and intelligent filtering options that simplify analysis.</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>
8

Look and feel

8/10

<p>Hotjar's interface is clean, visually appealing and purpose-built for clarity. The design prioritizes visual understanding with intuitive heat overlays and user recordings that require minimal interpretation. Navigation is straightforward and focused, with remarkably fast load times (&lt;1s) for heatmaps and smooth playback for session recordings.</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>
3

Customisability

3/10

<p>While less customizable than comprehensive analytics platforms, its focused approach means most needed adjustments are readily available without overwhelming complexity.</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>
8

Ease of Setup

8/10

<p>Hotjar offers remarkably simple implementation requiring only a single JavaScript snippet installation. The platform begins delivering valuable insights immediately after installation with no additional configuration required. Given the lack of functionality depth, there's little additional configuration needed.</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>
5

Customer Support

5/10

<p>Hotjar's documentation is middle-of-the-road. We would have preferred a more developer centric layout instead of providing articles in a help centre format which can be harder to navigate. Beyond this, email support replies take 24-48 hours in our testing.</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>
6

Integratability

6/10

<p>Hotjar offers a number of native integrations with popular ticketing tools such as Jira/Linear, automation platforms like Zapier and analytics tools like Google Analytics/Mixpanel. It's integration range is somewhat limited when compared to larger, all-in-one product analytics tools though.</p>
Ease of Migration
5

Ease of Migration

5/10

<p>Typical export functions such as webhooks, CSV, and more are available.</p>
6

Ease of Migration

6/10

<p>Hotjar provides straightforward exports for heatmaps, recordings, and feedback data. Users can download recordings, export heatmap data as CSV files, and access feedback responses through the dashboard or API. While not as extensive as enterprise analytics platforms, the export capabilities align well with the qualitative nature of the data collected.</p>
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