We ran our first conjoint with EPIC to check the market potential of a new product launch, but we have got out of it so much more than that! We’ve taken the learnings to shape our mid-term product road map and optimize the portfolio.
Introduce changes to your portfolio to maximize growth and strengthen market position.
Understand how will different combinations of pack sizes and prices influence your sales volume and grow your market share.
Optimize price gaps between pack sizes to encourage trading up, and identify opportunities for introducing new packaging options.
Test which promotional mechanics deliver maximum revenue; whether the discounts, BOGOF, or bundles are the way to go.
Know exactly when you’ve reached a pricing plateau and make data-based decisions to protect your market share.
Understand whether adding new product pack sizes grows the category and brings incremental growth to your sales volumes.
We ran our first conjoint with EPIC to check the market potential of a new product launch, but we have got out of it so much more than that! We’ve taken the learnings to shape our mid-term product road map and optimize the portfolio.
EPIC are a great partner and now part of our process to deliver answers to PPA questions in rapid speed.
We used EPIC to develop new pack and pricing architecture on our key brands, which we believe gives us a strong commercial advantage versus our competitors. The EPIC’s team supported us through the process to ensure our objectives were met.
EPIC has been a valued partner, helping us test and validate product and pricing strategies to understand where value is created. Their work has enabled us to optimize offers and pricing for maximum market traction across categories and markets.
From conjoint and pricing simulations to pack design and product optimization, our methodologies don’t just deliver data; they deliver decisions you can act on.
Simulates a shelf from a retail environment to effectively capture customers’ in-store purchase decisions.
Shows products in a virtual fridge to effectively capture customers’ in-store purchase decisions.
A market research classic to capture customers’ feature preference, as well as price elasticity and willingness to pay.
Replicates an online shopping experience to effectively capture customers’ ecommerce purchase decisions.
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