Machine Learning Use Cases in Ad Tech
I’m often amused when I read the ad tech companies’ websites and see how they confused traditional programming with machine […]
Massive Data Migration Framework
Moving legacy data from a relational database to the cloud is becoming a common problem. Given that databases like MySQL degrade […]
Performance forecast vs. actual performance
“(…) you can drill down into discrepancies between forecast and actual performance at the keyword level to get a better […]
Loyalty under attack
“(…) the chances are good that there is a teenager out there who, at this very moment, is doing something […]
Big data, Real-time, Machine Learning
In Ad Tech (as it is happening in other industries), we are dealing with three major technical challenges: 1) How […]
Keeping humans in the loop
One of the reasons why we humans are afraid of the uprising of the machines is that we don’t know […]
Choosing the right chart for your data
Facebook Ads Reporting, Google Data Studio, or Knowi are great reporting tools. They offer flexible data connectors and pre-built templates. […]
Recommendations are predictions
Netflix is trying to predict what you will watch next. Amazon what you will buy. Facebook whom you would add […]
Turning Data into Decisions
How do you go from a Facebook ad stats to a campaign update decision? Once your engineering team did all […]
Dimensions, Segmentation, Breakdowns
Each advertising channel has its terminology: they will refer to the same entity with different names. When you are pulling […]