Colcrane was founded on the premise that closer interaction between industry and academia benefits both parties, especially in creating a rigorous foundation for organizations to understand and navigate complex customer behavior. As access to behavior data becomes more challenging, organizations need to do more with less to understand and influence customer decision-making.

Collaboration between academia and organizations is often too slow and fails to address managers' problems. Researchers are incentivized to gather new data and be cautious about prescriptive advice.

Organizations often have vast amounts of existing data that are only useful if analyzed and interpreted correctly. Additionally, there is a wealth of relevant research already conducted that can be quickly synthesized and applied.

Colcrane offers fast and relevant insights by harnessing existing research and data modeling. We aim to be a catalyst for change in how customer behavior is understood at a strategic level and how research and behavior data are leveraged to influence customer decision-making.

Our name reflects who we are. Col — a subtle nod to the call to action. Crane — inspired by the family name, Kurki, shared by two of our founding partners, and the bird known for seeing the bigger picture from above. When you need to rise above the noise in your customer data — Call Crane, i.e., Colcrane.

Our Growth Methodology

Our approach begins with a comprehensive audit of your customer base, followed by a deep dive into customer behavior. Using advanced predictive customer lifetime value (CLV) models, we identify the customers, segments, and strategies most likely to drive sustainable growth. This allows us to move beyond surface-level insights — uncovering hidden patterns, segment dynamics, and untapped opportunities that clarify what truly creates long-term value.

But insight alone doesn't drive results. That's why we emphasize focused experimentation — turning analysis into measurable action. We design and execute experiments to test high-impact strategies, ensuring initiatives are aligned with maximizing customer value. By predicting CLV on an individual customer level and focusing on the critical few customers, segments, or actions that make the biggest difference, we help businesses avoid wasting resources on low-impact efforts.

By segmenting customers based on how they actually behave and the value they generate — not just who they are — we uncover patterns that reveal which segments are most likely to deliver long-term impact. This enables us to tailor strategies with precision, ensuring every experiment and initiative meets real customer needs and drives tangible business outcomes.

At Colcrane, we turn guesswork into precision — combining behavioral economics, predictive CLV, and focused experimentation to uncover high-impact opportunities and drive smarter, scalable decisions.