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WHAT IF WE CAN PREDICT CUSTOMER BEHAVIOR?

One of the pillars of management is Marketing. The latter is responsible for analyzing the market and trends, verifying which products have greater acceptance, defining the communication and advertising policy and the after-sales assistance and loyalty strategies.


One of the pillars of management is Marketing. The latter is responsible for analyzing the market and trends, verifying which products have greater acceptance, defining the communication and advertising policy and the after-sales assistance and loyalty strategies

The dream of any marketing professional is to be able to predict consumer behavior, because that way they can adapt the offer and allocate the necessary resources where they will have a return. That’s why today Data Marketing gains so much relevance. We have reached the age of Predictive Marketing.

But what is this new concept? Nothing more than the combination of marketing with data analysis, so that companies can take more accurate initiatives, making the most of the resources they have and maximizing their sales. Reach the right audience using the right speech at the right time! Predictive models are the solution that is sought, as a way to anticipate the needs of customers and competition.

Imagine the advantage of crossing the information you have about customers, leads and prospects with their behavior when they browse our sites. Or even your behavior on social media. How many insights can we extract from this data?

A few years ago we only had a few variables about customers, today we have thousands! This requires us to know how to handle so much data and transform it into useful information in the sales process. At this point we have already talked about Big Data and the massification of Cloud Computing. How to get the necessary information to drive the lead capture process, sale completion and customer loyalty? We can only get the best of both worlds if we bet on the right Analytics tools!

With a predictive platform that gathers data collected in the different areas of the company (marketing, sales, finance, technical and product support), we can more accurately anticipate how potential and current customers will act and detect:

  • Who are your best customers and what profile you want;
  • How to drive more impactful marketing campaigns;
  • How to get greater customer commitment and reduce conflicts.

This is another of the trends brought about by the digital transformation that we have to follow if we want to remain active in the market.

And if you haven’t made a clear bet on data analysis tools, we have the solution! Start extracting indicators that reorient your trading activity.

 

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