De-Risking Store Expansion: How Yello Used Behavioural Data from Existing Customers to Prioritise Products
How Yello tested six lifestyle products with over 3,000 customers, identified the four most profitable ideas, and used real behavioural data to cut R&D costs and de-risk its store expansion.
In this case study, you will learn:
How Yello tested six lifestyle products with over 3,000 customers and identified four winners while dropping two weak concepts
How they turned customer signals into strategy within just four weeks
How they cut R&D costs, reduced launch risks, and focused on products that truly fit their customer base
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Leading companies and brands already rely on Horizon to use consumer actions to predict the market success of their product decisions
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