Life before and after Magic Leap, are you prepared?

I remember that during the first wave of internet we tried to replicated the physical world but inside the browser. So buying cloths online was supposed to be like being in the store, which at that time was just impossible. It wasn’t until the second internet wave (after the crash of the first bubble) that we realized that internet won’t be or supposed to be like the real world. Actually it was able to be better but in a different way. During this second wave was where companies like Amazon came to make a revolution in the way we shop,

Continue reading »

Here’s why you should develop your own Attribution Model

The good news is that an Attribution model can be a fantastic insight source that can make you generate a huge impact in your company’s bottom line. The bad news is that the impact can be amazingly good or bad, too bad. As you can imagine our industry works similar than any other industry. Standards are set by the market leaders. The most used solution for Analytics in the world is Google Analytics, ergo, the set standard is, as you can imagine, Googlecentric. So Google was telling us that last click is the standard unless, of course, Adwords is involved

Continue reading »

Programmatic Buying behind the scene

Following the previous post about what computers can and can’t do, let’s go to the specifics. Fortunately during the last years it has become clear that Data Science has huge capabilities for changing the way we are doing business. One of those cases is programmatic buying. The programmatic platforms have completely changed the way brands invest their media budget and optimize their results. However it is really important to understand that’s behind the scenes in order to really understand what can and what can’t expect from Programmatic buying. What’s programmatic buying: Programmatic buying refers to the technology that allow investing the media budgets through real time

Continue reading »

This is what you have to know about artificial intelligence

Last week I was invited to Webcongress Colombia to talk about the future of Data and how Data can transform the world. It was more than 1,300 professionals expecting to talk about the latest advances in technology. Most of the people I was talking with was really optimistic about what a computer can, or can’t do. My normal answer is “Computers are stupid and bureaucratic at creating but great repeating things, while humans are fabulous creating but very clumsy at repeating things”. As I wrote in my book Meta Analytics, repetitive activities become transparencies for humans, so at some point we can’t identify mistakes that are not

Continue reading »

Behavior vs Demographic clusters

Behavior vs Demographic segmentation is and was a hot topic since the first websites came along. Since I remember companies use to segment their markets related with Demographic criterions, which means dividing markets into groups based on age, gender, income, occupation, religion, race, etc. This criterions divided into Hard, Medium and Soft. The Hard ones are those that normally never change like the birthdate or gender. Medium are those that can chance from time to time like single, married or divorced. Finally, the soft ones are those that can change any time. As you can image most of the variables are soft. Actually, inside the soft variables you find

Continue reading »