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Flexible services to support portfolio decisions
Assess interaction across multiple initiatives
Managing innovation in today’s complex marketplace often requires that you understand what is happening across a portfolio of brands, not just a single new initiative. Understanding interaction across a portfolio is a challenge, since new items or re-launches interact with each other, parent brands, and competitors. Choices you make to optimize a single brand may not produce the best outcome for the broader portfolio. BASES DecisionPoint services help you navigate these interactions and make decisions that will help you set up your portfolio for success.
Flexible services for diverse portfolio needs
Portfolios vary in size and complexity, and different objectives require different research. Depending on your specific needs, your BASES consultant may suggest one of these approaches:
- BASES Portfolio Optimizer – Which new items should I launch to grow portfolio sales?
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BASES Portfolio Pricing Simulator – How does a price change on one brand affect sales for my portfolio?
- BASES Competitive Response Lab – What is the impact of a competitive launch on my portfolio?
- We can combine elements to create a BASES DecisionPoint Custom Service tailored to your questions.
Each includes pricing and in-store promotion models by default, so you always have the ability to explore those objectives, without extra effort or investment.
Flexible Solutions for Portfolio Questions
Address your portfolio assortment, pricing strategy, or competitive response decisions with a customized study.
Integrated with BASES Forecasting
When detailed predictions are needed, we can incorporate the results into a BASES forecast to provide estimates of sales and incremental sales for one or more of the specific new product or restage initiatives included in the study.
Even without a forecast, BASES DecisionPoint services can help guide your portfolio decisions by estimating the underlying consumer potential of various scenarios.
BASES DecisionPoint
To model portfolio interactions, BASES DecisionPoint technology combines the best of several research traditions: state-of-the-art discrete choice (conjoint) models in-context data collection via “virtual shopping” the BASES forecasting system
Together, these elements permit creation of models customized to your category and objectives. By modeling consumer choice dynamics at the individual level, we can explore numerous scenarios, seamlessly incorporating interaction effects even when exploring multiple types of initiatives or in-store decisions.
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