Marketing

Relevance

AI in marketing is the use of customer data, Machine Learning and other computer concepts to predict people’s actions. The ability to process huge amounts of data allows marketers to easily segment customers. In this way, companies can look for patterns of interest in the data to create personalized content for their audiences.

AI-based recommendation systems are able to analyze individual user purchase behavior and detect patterns that will help provide you with product suggestions that are most likely to match their interests. In any company, having good knowledge of the target audience allows you to focus resources and strategize about it. This is what well-known digital brands of audiovisual content actively apply when recommending films and television programs.

Solutions

Applications

• Advanced client segmentation
• Attraction and retention analysis
• Purchase behavior analysis
• Recommendation systems
• Customer risk analysis

Detail

Customer segmentation is a standard tool in virtually every marketing department. But traditional segmentation methods have a serious disadvantage: they do not take into account changes over long periods of time. This can be solved with so-called “stream clustering”, a method that allows segments to be identified and monitored over a long period of time on the basis of a data stream, such as transactions. In this approach, the algorithm updates the segments incrementally, identifies the segments that have just appeared and classifies those that are obsolete. The results can be used at any time without the need for costly computer calculations and allow for the design of marketing campaigns that are fully customized for each segment.

With the development of natural language processing through AI, chatbots are now used to streamline customer service. Those with questions that can be answered directly can refer to chatbots that will give them immediate and accurate answers. In addition, previous questions and historical data can be leveraged for increasingly personalized results. This gives the customer service staff time to work on

Methodology

With the Agile methodology as an internal standard, we always adapt to the requirements and availability of the Client.

Since the services offered are customized, we consider frequent and close communication and contact as essential conditions to maximize the efficiency and continuity of the projects. That is why the feedback and progress presentation meetings have an average frequency of one week.

FAQ

How can I incorporate AI into my processes?

Answer All of our collaborations are based on support from the conceptualization phase to the production of the solutions. The first step is to contact us and, without any commitment, find the optimal way to apply the tools that best suit your business.

Do I need a Data Scientists team and a special data architecture?

Answer Not necessary, since we have a complete team of experts and the necessary computer resources for the development of practically any type of solution based on data and Machine Learning. Flexibility in the nature of the data source is complete (unstructured data, SQL databases, Excel data, …)

How can I measure the value you bring to my business?

Answer The calculation of profitability can be obtained in a quantitative way as in traditional projects. In addition, the support of success stories and the strong investment made by companies all around the world is a true reflection of the reality about these projects and how the risk associated with them is, year by year, decreasing.