Testing key hypotheses and benchmarking performance for a leading UK restaurant brand
Testing key hypotheses and benchmarking performance for a leading UK restaurant brand.
Understanding needs
A leading UK restaurant wanted to understand how they compared to other similar ‘family friendly’ restaurants across different categories, before engaging in primary research. They also wanted to test the hypotheses that there was a ‘North vs. South’ divide in perceptions towards their brand.
Connecting data
We used our AI web scraping at scale toolkit to collect thousands of social media posts and verified reviews for the brand and several key competitors. We ran bespoke topic modelling to allow for competitive benchmarking, assessing the brand for core strengths and weaknesses. And we compared the emotional score of reviews in Northern restaurants vs. those in the South.
Driving change
We found the brand’s main strength was in balancing a friendly, welcoming customer service while also being quick and efficient. There was little evidence to suggest a significant difference in perceptions across geographic regions. We were able to provide strategic direction for our client based on thousands of consumer conversations.
Using strat7.ai, we extracted 40,000 mentions and rapidly created a searchable data dictionary of shows to search through the unstructured text.
Craig Milligan
Global Head of Consumer Analytics & Insights | Decision Sciences, Diageo