Smart Shopping placements: insights into a black box?
Smart Shopping is a seemingly omnipresent topic in the PPC world these days and there’s been quite a few ongoing discussions related to the campaign…
Machine Learning
SportsDeal: With Whoop! and CSS to 102.4% more revenue
Perfect alignment of CSS and GSE: how Norwegian retailer sportsdeal.no reported 102.4% higher sales figures using award-winning automation technology. …
Responsive search ads and expanded text ads: differences & recommendations
Everyone knows Google likes to test new ad formats or change existing ones. In 2016, for example, they introduced expanded text ads; this year, they…
Ecommerce Expo London recap: AI, machine learning and more
Just after dmexco, another huge event was around the corner, this time in the UK: Ecommerce Expo, Technology for Marketing and Adtech (yes, that’s three events)…
Google Marketing Live 2018 – Age of Assistance
At Marketing Live in San Jose, Google presented their rebranding plans and some other changes that are strongly based on machine learning. We were there…
PPC Optimization: Device Campaign Splits
The question whether or not to segment PPC campaigns by devices has caused heated discussions among digital marketers. The concept of splitting campaigns per…
Google Shopping Optimization: +176% Conversions for Chal-Tec
About Chal-Tec Founded in 2005 in Berlin, Chal-Tec is a globally active ecommerce company. A team of more than 500 professionals combines ecommerce…
Great Day Recap: Frederick Vallaeys — Will the Robots take my PPC Job?
One of Google’s first 100 employees, Frederick Vallaeys helped build the AdWords Editor and is now CEO of Optymzr, a PPC scripts and automation provider.…
Google Shopping & the Long Tail: A Google Ads Script to Detect Your Budget Eaters
We love Google Shopping — and we have a lot of experience with it. That's why we realized quite quickly that there is a…
Open Source Machine Learning from Google
We at "Whoop!" use advanced Machine Learning algorithms for predicting optimal Max-CPC-Bids for every Product based on the performance history of a retailers product range…
