All you need to know about the Google Attribution Model which is not much by now

Well, remember that in my past post I was talking about trusting your main source of value to a third party that can have a different objective/s than yours? I also mentioned the example of using Google Attribution Model. Well, if I would be Google I would try with all my might to be the one that sets the standard of the attribution model the people use. Why? Because the attribution model is the one that tells you how and where you should invest your advertising budget. So, apparently Google is aligned with that idea, because has just launched their “free Google Attribution” model.

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Dancing at Google’s sound

The other day I was doing a presentation about machine learning applied to attribution models and the issues of standard attribution models: They are not based on a model that tries to represent a reality, with the higher level of certainty as possible, but on a completely discretionary decision (normally from a HIPPO, Highest Paid Person Opinion). Since they are not trying to represent the reality but to define a criteria to standarize the measurement, all the information that flows from them (Acquisition Cost, repayment period, etc) is wrong. So basically, you will be making your marketing decisions based on wrong premises. Meaning that

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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

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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

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Landing to Webcongress Bogota with the lastest news on Big Data Analytics

Ouali did it again. He is putting together more than 1200 people from the digital marketing industry in one just one place to talk about the latest news and techniques. Webcongress had become the main tech event and I’m pleased to tell you that again, I’m part of it. I have the pleasure of joining a panel with Mónica María Zuluaga, Marketing Director at Caracol Televisión to discuss how Big Data Analytics is changing the way we market our products. I will also be presenting information on the level of evolution of the Latin American market in general and the Colombian market in

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Holistic (reductionist) vs Systemic approach of organizations and its impact in goals and metrics

We were talking a lot about the importance of considering companies as what they are, systems. Years of an holistic (Reductionist) approach of organizations generated a huge negative impact. The holistic approach, the scientific attempt to provide explanation of complex things in terms of ever smaller entities, says that if you have a company (system) and you separate it into its parts, then you improve each of its parts and put them back together you will have a better company (or system). The result of this thought was: 1. Independence between departments: If we think that we can have a

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How to develop a micro-conversions measurement environment

It’s normally easy to achieve a long term objetive if you can break it into short term goals. There’s a big different in arriving to your office with the idea you have to increase your company revenue in 20 percent and arriving to your office with a list of 5 tasks you have to perform in order to drive the company 5% closer to its objetive. Right? It’s great having a long term vision, but that’s for the C level, they are in charge of the company vision. Once that the future is clear enough it’s time to complete the

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The illogical behavior is finally very logical

Norbert Wiener, who is credited with being the discoverer of cybernetics, called teleological systems to those that have their behaviour regulated by a negative feedback. Negative feedback occurs when some function of the output of a system, process, or mechanism is fed back in a manner that tends to reduce the fluctuations in the output, whether caused by changes in the input or by other disturbances. The first and fundamental revelation in this regard is the provided by Darwin with the theory of natural selection, showing how a blind mechanism can produce order and adaptation. In the case of the

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The objetive and the real objetive

Since companies are systems, and systems are a set of objects interacting together with a common objetive, the most important thing to understand companies is that objetive. The objetive is everything to understand how a company works, because it defines the way all the “objects” in that organization interact in order to reach it. You can have all the parts of a car, just the right combination of location, adjustments and functioning will make that those parts becomes an vehicle that can transport people. So, if the objetive is so important why some companies don’t define it or communicate it

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Top five phrases you hear in the entrepreneurship world and their real meaning

Phrases you hear in the entrepreneur world and their real meaning 1. “We are going to be in break even in three months” means “we are not considering 90% of our costs”. 2. “We are unique because our algorithm…” means “we are unique, ok???, no more comments”. 3. “We have no competition” means “we are doing this because we like it, so we never spent 5 seconds to search on Google”. 4. “Our valuation is…” means “Any seven figure number and it’s yours”. 5. “Our product fits client needs because people like” means “we like…” Not having a data-driven culture

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