How Prescriptive Analytics Transforms New Product Launches
For most CG companies, new product launches are high risk due to unknowns about product fit, how much to spend, how to go-to-market and what results to expect. CG companies don’t just need to know what might happen in a launch; they need strong data-driven recommendations on how to go to market to achieve revenue targets. That’s been the missing piece to the new product launch puzzle.
Proving what works before CG companies invest
Amount invested in launch ≠ Success
Experience alone doesn’t improve the process.
User poses questions to consumers’ virtual brains via self-serve queries.
The platform shows what would happen and recommends changes.
Platform recommends new tweaks weekly after launch.
Formulation
Distribution
High uncertainty about competitor’s actions
*NPI = New Product Introduction
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How will our competitor’s new product impact our launch?
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