We all know that consumers think about some restaurants in similar ways. If you want a burger, you’ll go to a burger joint. And if you want a salad, you’ll go somewhere that makes good salads. But what if we want to understand how consumers bucket restaurants based on a variety of experience drivers and sentiment?
The HundredX data science team maintains proprietary models to identify associations among restaurant brands based on a suite of HundredX data from consumers.
These models answer questions such as:
In exploring the question of consumers’ mental restaurant associations, we ran a model to cluster Quick, Fast, Casual competitors based on consumer drivers. In the process of doing so, we identified a variety of interesting and unexpected results. One of these compelling associations is the fact that consumers view Sweetgreen, a restaurant chain that serves salads, similarly to Pinkberry, a frozen yogurt chain. While these restaurants target different consumer needs (meal vs dessert), they are aligned with a common outcomes-based value proposition within consumers’ minds.
Understanding the relationships between brands like Sweetgreen and Pinkberry in the minds of consumers opens up many possibilities. The two companies could explore partnerships such as co-locations in select markets. There is also an interesting case for exploring M&A between the restaurants or similar chains. Other restaurants could look at the value propositions of each brand to target acquisition of customers who match the profile of Sweetgreen / Pinkberry customers. These are just a few of many possibilities, and the, and the strategic implications are significant and widely applicable.
This analysis is based on HundredX's proprietary data, developed from consumer feedback collected through the
HundredX Causes Program. Nothing in the HundredX data constitutes professional or investment advice on the part of HundredX.
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