What aspects of the product catch users attention?
Did the users like them or not?
What are the delighters?
What could be scaring?
What are they suggesting for the next release?
What are they missing?
Is there any emerging trend I am missing?
In the field of consumer market study, Innoradiant offers high precision semantic analysis of social networks. By means of a reliable analysis of millions of conversations we deliver reliable reports on users emotions, attitudes, tendency about specific concepts. We can also detect user suggestions and weak signals. All this in a few days. Read More
For people in NPD we offer reliable predictions of the probability of success of new products, based on social media conversations. By analyzing attributes of existing products and the effect they have on users, product owners are able to effectively design successful new products. And these are insights based on millions of conversations. Read More
If you are a professional of social media listening, Innoradiant offers you the possibility of going beyond what you could provide by using only traditional social monitoring tools. Thanks to cognitive semantic analysis (Aided Semantic Intelligence ™ ) you will be able to provide personalized analysis to your customers, to an unrivalled degree of accuracy. Read More
We define with you the subject of the study, a generic product or a service
You acquire a conceptual and linguistic definition of the product
We select all the relevant media where people discuss about it
You acquire a cartography of social media where the product is discussed
We harvest and filter the selected media. We index them semantically
You acquire a huge searchable database of conversations about your product
We identify and categorize the products features, on the basis of the conversations
You acquire an exact snapshot of how people talk about the product and what are its most popular attributes
We analyze everything and generate the dashboard
You access an intuitive dashboard disclosing everything you need to know about user/product interactions.