Talking about digital world means talking about data. The amount of data generated and replicated today is enormous (to find out to what extent, read the article “Welcome to Data Revolution”).
In this sense, we must expect that all areas of knowledge are dependent on data to evolve. From exact sciences to behavioral sciences, management, engineering, human resources or marketing. Ignoring data is no longer an option for companies that want to remain competitive.
An example of an area that is highly dependent on data is Digital Marketing. Our online presence is increasingly data-driven and there is currently a set of tools in Data Science and Artificial Intelligence that help companies extract all the value offered by data.
Next, we present 10 aspects that show how Data Science and Artificial Intelligence can help leverage Digital Marketing:
1) Get to know customers better… And leads. With our online presence, it has become impossible to know the name of all the people who enter our store by heart and welcome them with an inspirational “Good morning”. Or find out what Aunt Emma likes in terms of delicatessen. Now the amount of information about customers is so vast that their characteristics are obtained through data mining techniques. Another aspect in which Data Science and Artificial Intelligence can help is in qualified leads detection. By teaching the machines to follow certain indicators, it is possible to define a conversion score for leads and thus concentrate efforts on the most promising ones.
2) Customizing. Data Science and AI enable a level of customizing of the offer and marketing content, which are unparalleled in the past. A customer’s online footprint generates a history of behaviors and preferences that can be “read” and used to provide them with what they want, whenever they want it. The same customizing capacity also makes it possible to create tailor-made advertising and marketing campaigns for each person, increasing the possibilities of engagement.

3) Expand sales. Through Data Science and Artificial Intelligence it is possible to know if whoever buys a product also usually buys other products (which can be correlated or from apparently different categories). In this way, more surgical up selling and cross selling strategies can be outlined, increasing market share. Amazon or Netflix, through powerful recommendation engines, do this masterfully.
4) Free up Customer Service resources. Have you ever thought about the amount of work hours saved to Customer Service employees, just due to the existence of a chatbot or Conversational AI tool? Millions of hours. Through Machine Learning and Artificial Intelligence, it is possible to train devices and programs so that they answer simple questions, provide information or direct customers to the services they need.
5) Divide to manage better. Through segmentation and clustering techniques, it is possible to group customers with similar characteristics and, from there, devise different strategies for each group, or even different marketing campaigns. The “one size fits all” no longer makes sense in the digital world.

6) What is the current status of your brand reputation? A brand is an increasingly accountable capital. But tracking what customers and non-customers say about it is difficult, and sometimes companies only detect reputational crises when it’s already too late. Through techniques such as Content Analysis, Computer Vision or Sentiment Analysis, it is possible to assess what is said on social networks, in the news and in cyberspace in general, so that brands can understand whether their status is at risk or not.
7) Detect market trends. With the accumulation of data left online, it is possible to use Trend Analysis techniques (methodology that analyzes historical and current data in order to recognize future patterns) to know what people will wear tomorrow, what are the stock market trends or even which environmental concerns will be more or less appreciated. Knowing this, companies can anticipate and act accordingly.
8) Build a harmonious customer journey. How many times have you complained about a situation and then had to repeat what you said and wrote to different employees and platforms? A Frictionless Experience represents an experience without friction or setbacks on the part of customers. Artificial Intelligence makes it possible to harmonize processes across different channels, automate them, speed them up and indicate the “next step” customers should take to help them achieve their goals.
9) Money. Money. Money. The value of a product is also measured by its return, and in this field, Data Science and AI solutions allow you to reap many financial benefits. They help to better forecast sales (through techniques such as Time Series Forecasting). They help optimize marketing budgets by focusing on customer segments that best represent LTV. They allow to reduce the phenomenon of Shopping Cart Abandonment that so affects online stores. They allow the creation of dynamic and more appropriate pricing strategies according to customer preferences, purchase history or local situation analysis.
10) Communicate more efficiently. Last but not least, Data Science and Artificial Intelligence help companies to communicate better with their customers. In a world of data, it’s relatively easy to know which channels customers are most receptive to communicating through. What time is best to communicate with them? What email or text message content works best? The more information there is, the better machines learn to recognize patterns and improve communications with the audience.
Intelligent Algorithms
Inspiring companies to explore new challenges through the power of data