Plug and Play with your own Data
Pull data from different data sources, aggregate customer reviews and rebuild the flow based on your goals.Explore !
This project offers an adapt-and-apply solution allowing retail analysts to understand how to use Dataiku to gauge the previous and future success of customer engagement strategies from their own data. More details on the specifics of the solution can be found on the knowledge base.
Brands face multiple challenges in keeping modern consumers engaged: according to BCG, ~70% of customers would switch to a competitor with an easier process to find and select the desired product. It is therefore key for brands to listen to what their customers think, feel and say about their products and purchasing experience. To do so, brands first need to collect feedback from customers. The good news is that the accelerated move to digital and social commerce is opening new perspectives. Brands can now gather a broad range of customer data points, both explicit (comments, ratings, etc.) or implicit (time spent, number of visits, etc.). And the move is on the way: today, 70% of the brands surveyed by BCG declared collecting feedback from customers from more than 1 channel.
Tapping in the potential of this data is a step by step process, which starts with converting this data to insights before applying more advanced approaches such as Sentiment Analysis(1) to:
Sentiment analysis unlocks a new layer to the performance insights of a brand. It allows them to better understand emotions and measure customer satisfaction. By leveraging actionable ways to transform customer emotion into brand action, marketers will be empowered in delivering a better customer experience.