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CLIENT CASE Liantis

How Liantis leveled up its product analytics

Stitchd guided Liantis through the full journey of selecting a new product analytics solution, leading the implementation process and supporting adoption across the organization.

About
Liantis

Liantis is a leading Belgian HR and entrepreneurship services provider that supports self-employed professionals, employers, and employees throughout every stage of the business journey. By bringing together expertise in payroll, HR, social insurance, workplace wellbeing, prevention, and consulting, Liantis helps organizations simplify complex administrative processes and focus on sustainable growth.

With a strong focus on entrepreneurship, Liantis aims to empower businesses and individuals by providing the guidance, tools, and support they need to start, manage, and grow their activities while creating healthy, safe, and productive workplaces.

USE CASE

Liantis was reaching the limitations of GA4 and needed a platform that could better support its ambitions as a product-led organization. After a thorough evaluation process, they selected Amplitude as the preferred solution that aligned well with their analytical, operational, and governance needs.

Why a new product analytics platform was the right fit

A tailored data model for a complex ecosystem
Liantis’s customer portal is not a single product, but an ecosystem of applications serving customers across a wide range of needs. This complexity requires a flexible data model and strong data governance to maintain data quality and consistency. The new platform’s event-based approach and governance capabilities give the team greater control over what gets tracked, how data is structured, and who can access it.

Deeper insight into feature adoption and user friction
The Liantis IT team and product owners continuously work to improve the user experience. The new setup provides clearer visibility into how features are adopted and where friction occurs through funnel analysis, behavioral reporting, session replay functionality, and heatmaps within a centralized environment.

Behavioral analysis at user and group level
An important requirement for Liantis was the ability to analyze behavior not only at the individual user level, but also at the organizational level. For a B2B platform, this creates additional opportunities to understand how different types of companies engage with the platform and its services.

Product and marketing insights in one place
Beyond product analytics, the platform also supports marketing-related analysis such as campaign attribution, acquisition insights, and audience segmentation. Bringing these capabilities together helps reduce fragmentation across tools and reporting workflows.

Flexible data enrichment and privacy-conscious data collection
The platform integrates with existing data infrastructure and supports enrichment through warehouse integrations and external data sources. It also provides built-in capabilities to support privacy and governance requirements, which is especially important for organizations operating in regulated environments like Liantis.

Built for scale and collaboration
Collaborative reporting features, self-service analysis capabilities, and AI-assisted workflows help teams independently explore and share insights without always relying on dedicated analysts. This democratizes insights across the organization and supports more data-informed decision-making.

Implementation is just the beginning

Selecting and implementing the right tool is only part of the journey. To fully realize the value of the platform, adoption across teams is equally important. That is why we are organizing interactive training and workshop sessions to help the Liantis team build confidence and capability from day one.

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Streamlining, tagging and dashboard refresh

Stitchd was consulted after Reynaers implemented GA4 and was tasked with reviewing the tagging that was put in place and the dashboard build on top of this data. We used the existing architecture to create a cleaned-up version of what was already in place.

Adjustments were made in the tag manager, development teams were briefed to make changes to the datalayer and the SQL queries in BigQuery got updated to fit the needs of the marketing organisation of Reynaers. The existing dashboard in Looker Studio was also rebuilt using the updated data stream.

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