Case Study

How Tripletex accelerated insights from hours to <10 clicks

After implementing Kubit, Tripletex is expediting product improvements, reducing their data analyst workload, and empowering their Product Managers to self-serve insights.

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The challenge

When strong data infrastructure isn’t enough

Tripletex had strong data infrastructure in place, but product teams lacked direct access to behavioral insights, slowing decision-making and overloading analysts with ad-hoc SQL requests. They needed a scalable, self-service solution that maintained trust in data while enabling faster, more informed product decisions.

The solution

Full-funnel agentic digital analytics

With Kubit, GameChanger gained a performant, flexible analytics solution that unlocked pathing, cohort, and funnel insights without needing to orchestrate complex data models. Product Managers now self-serve answers to user behavior questions, speeding up iteration and enabling detailed behavioral analysis.

Key outcomes

Faster

insights

Answering key product questions in real-time, without depending on other teams.

Granular

analysis

Teams can break down product usage by feature, user segment, time-to-action, and more.

Trusted

data

SQL visibility and data transparency have increased trust and the validity of insights.

testimonial
“Before, it took a week’s worth of analytics to get product and customer insights. With Kubit, it’s taking just minutes.”

Emil Martensson | Data Analyst at Tripletex

Targeted improvements

Targeting key optimizations

Tripletex now builds prioritized outreach lists based on in-product behavior, enabling teams to engage the right users at the right time.

Streamlining user journeys

Funnel and path reports provide a clear view into where users drop off and how they navigate the product, unlocking optimizations that were previously invisible.

Prioritizing feature optimizations

Tripletex can now identify which features customers actively engage with, helping Product prioritize roadmap changes based on key user behaviors.

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