Performance forecast vs. actual performance
“(…) you can drill down into discrepancies between forecast and actual performance at the keyword level to get a better look at why search traffic varied.” Adobe’s advertiser guide to a higher return on ad spend Most of the agencies […]
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My Machine Learning-powered subject analyzer told me that you would open this post. Was it right? The main challenge with building subject analyzers is to identify which features are relevant. Is it the subject’s length? A specific word? A combination […]
Machine Learning: What is it and why it matters for Ad Tech/MarTech?
Machine learning is a branch of Artificial Intelligence. It is based on the principle that programs can learn from data and act on behalf of humans. The algorithms behind machine learning aren’t new. Thanks to the advances in cloud computing […]
Email marketing and Machine Learning
We all hate spam, and we are gradually unsubscribing to the daily deals we once thought would be great to subscribe. We are using email more responsibility, and we give permission to fewer people to email us. And yet, we […]
Correlation Matrix
Every day, you are spending money on ads. A platform like Facebook will tell you how many impressions you’ve got. The more your ads are printed, the more people you are reaching. Some might click on your ad, and some […]
Automated Insights
“People who use iPhone spend 50% more time in your app compared to all the users.” As simple as the above statement might be, it is the most sophisticated, fastest and easiest way to guide the media analysts on how […]
Predict anything
It doesn’t take a 50 engineers team and a 1M lines of code project to predict anything these days. new_pred = regressor.predict(new_dataset) Just one line of code. As simple as that. The real work (for which you need brain power […]