- Market Insights from Customer Reviews -
Why do retailers need to adapt to the hybrid customer?
Customers research online
>80% of customers are hybrid, looking for information prior to and during their shopping experience.
Customers review store performance
Posting short reviews is becoming the widely accepted. Especially google sends push messages to customers in store.
Customers expect immediate service
Hybrid customers have a high expectation of service. They expect feedback within 24 hours.
What is our vision to help understand the hybrid customer?
MIGO gives recommendations based on millions of customer reviews
Drive drive sales, act on competitor insights, and support strategic decisions!
What are typical business questions of our retail customers?
MIGO addresses a broad range of questions based on its modular approach and flexible data structure
Whitepaper "Feedback from 2 Mio.+ retail customers – unlocking insights from online reviews with AI"
Take a look at 2021/20 data and insights on how German Retailers perform from a genuine perspective of millions of customers
How are google reviews a game changer for retail organizations?
Google triggers review when leaving the store
Google reviews are rolled out in almost all countries
Reviews are standardized with stars, free text, and images
How does the Migo App look like?
How can maintain control over my data and how can IT integrate Migo?
MIGO combines both, scalability via integration in you IT Data/Reporting infrastructure and speed/innovation via interactive power user apps for rapid prototyping
How do you cutomers work with you? How does a typical project look like?
Learn about MIGO in a first online demo with your data - we can then discuss how a potential project scope might look like.
Explore our MIGO applications and hear from customers
Latest news on Customer Analytics
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. It also examined how positive/negative customers feel towards certain topics, such as “service at checkout” or “friendliness of staff”.
Marketing, please make your most valuable customers a top priority – How to get started quickly with RFM and CLV Models
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