The world has long been made up of countless data.
Thanks to its easier availability and growing networking, innovative companies can analyze the wishes and needs of interested parties and customers more and more precisely. With a strategic goal in mind, targeted campaigns can thus be controlled in order to prompt the customer or prospect to take a particular action. Like Reply is an expert for IT, marketing and analysis processes.
This enables Like Reply to support customers in understanding, forecasting and implementing processes - which intensify interaction with consumers based on a data-driven approach.
What is advanced analytics and what methods does it offer for your business? Why is it important and how do we use it to boost engagement with customers? What types of advanced analytics are there and what are the differences between them?
The technology used in predictive analysis, in the form of machine learning algorithms, statistics and data-mining techniques, helps us in the development of models and emerging trends in the data gathered. Using predictive analysis, we develop a positioning strategy for the company that offers the advantage of intuition and the interpretation of online and offline phenomena.
Return on investment is measured by means of macroscopic indicators. Thanks to a data-driven approach, Like Reply is able to make those indicators more specific. Digital Analytics refines the traditional lens of analysis. Thus, over a long term the evaluation of results can be more "qualitative" in nature.