De nouveaux aperçus grâce à l’Intelligence Artificielle et les avis en ligne
Feedback de 1.8 millions de clients de grande distribution alimentaire française
Feedback from 1.8 million retail customers – new insights through AI and online reviews
Interested? Download whitepaper here:
Why this Whitepaper is worth reading!
Our Data Set
Google Reviews for more than 16.000 French food retail stores, 10 brands, and over 1.8 million customer reviews for the last 12 months.
While the overall winner is Aldi with its price driven hard-discounting forma in France, Système-U and E.Leclerc are a close second and third. Carrefour shows surprising weaknesses, primarily in the area of checkout and cleanliness!
of stores sales are impacted by online reviews
Competition among French retailers is high. Understanding customer needs is therefore of critical importance for both, established brands (Carrefour, E.Leclerc, Intermarché, …) as well as discounters (Aldi, Lidl).
Food retailers should use technology and AI to understand customers’ feedback provided for their own as well as for their competitors’ stores.
Interested? Download whitepaper here!
MIGO is a software, which offers an end-to-end approach for sourcing, analyzing, topic modelling, and visualizing insights from feedback/images. Customers can either embed MIGO in their analytics/BI stack (app as a service model), license it as a SAAS, or access a curated data feed via our powerful MIGO API. Learn more...
Latest news on Customer Analytics
Explore our recent posts on Customer Analytics topics
Download our whitepaper analyzing thousands of online reviews of 6 Dutch DIY store brands: Hubo, Bauhaus, Karwei, Hornbach, Praxis and Gamma.
Download our whitepaper analyzing thousands of online reviews of 6 Austrian DIY store brands: Zgonc, Lagerhaus, Hagebau, Hornbach, Obi, and Bauhaus.
Download our whitepaper analyzing thousands of online reviews from 5 German DIY store brands: Obi, Bauhaus, Hornbach, Hagebau and Toom.