What We Offer

 

Guided by the Pareto principle, we turn academic research into practical intelligence — revealing and optimizing the customer behaviors that drive long-term value. Using first-party data and behavioral science, we take a decision-first approach: start with the business question, identify the signals that matter, and design analytics that turn insight into action.

Customer Base Audit

A research-based, descriptive or predictive review of an organization's customer base, that offers a clear, standardized way to assess how value is distributed, sustained, and eroded across existing customers.

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Predictive CLV Modeling

Leveraging cutting-edge statistical models grounded in the latest research, we predict individual Customer Lifetime Value (CLV) to enable smarter, more profitable decisions that drive sustainable long-term growth.

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Behavioral Analytics

We combine behavioral science with advanced analytics to reveal why customers act as they do — and how to predict, influence, and scale the behaviors that drive loyalty and long-term value.

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Behavioral Experimentation

We design and guide targeted experiments grounded in behavioral science, continuously iterating to optimize strategies that drive measurable and sustainable long-term customer growth.

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Behavioral Segmentation

We categorize customers based on real behaviors and decision patterns, enabling precise targeting, personalized experiences, and optimized marketing efforts.

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We work with organizations that have large customer bases where retention and lifetime value drive growth — from consumer brands and subscription services to NGOs and broad B2B portfolios. Curious how decision-driven, first-party behavioral analytics could reveal the few behaviors that drive most of your customer value?

Joel Anderssén, Lead Data Scientist
Joel Anderssén, Lead Data Scientist
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