Learn about our approach in our recent whitepaper!
Our Data Set
Google Reviews for more than 28.000 German retail stores, 12 brands, and over 2 million customer reviews for the last 12 months.
Category Winners are Lidl (groceries), Hagebau (DIY) and dm (drugstores).
of stores sales are impacted by online reviews
What if you could continuously receive customer feedback on each of your stores?
Retailers can now easily check on how their stores (and competitors’ stores!) perform. Understanding customers’ preferences by analyzing millions of Google reviews with natural language processing, is a game changer.
And Retailers can start using this intelligence with the MIGO platform right away!
Interested? Download the full whitepaper!
Latest news on Customer Analytics
Explore our recent posts on Customer Analytics topics
Lecture at ESB Reutlingen – What are data science products? and predicting the “future business student”
This post covers a lecture at ESB Reutling. Find our take “data science products” and two interesting use case. Also learn how the future business student will look like.
This whitepaper takes a look at 2.1 million customer reviews for 12 German retail brands such as Lidl, Aldi, Rewe, Edeka, dm, obi and a few more. It uses Natural Language Processing to analyze what topics matter most to customers in the period 3/2020 to 2/2021.
Marketing, please make your most valuable customers a top priority – How to get started quickly with RFM and CLV Models
Top excuses in marketing for not using value based customer segmentation Excuse #1:IT is doing a major redesign project and they cannot help Excuse #2: BI / Analytics has no ressources to support us Excuse #3:Everybody agrees it is important, but now is not the right...