We remember Royal Berl: lower CPC and increase conversions
Posted: Wed Dec 11, 2024 6:38 am
Three years ago (how fast time goes by!) we heard about a strategy that was totally new at the time and we could say revolutionary. This strategy was Royal Berl and we learned about it thanks to Mai Molina. Royal Berl allows you to reduce the CPC while increasing conversions.
As soon as we heard about it, we decided to zalo database try it out to evaluate the results with our own tests, and it is true that in many cases we obtained surprising results. But wait! First of all, let's get to know or refresh what the Royal Berl strategy is based on.
What is Royal Berl?
The Royal Berl is a study that describes a combination of Google Ads tactics that, when activated at the same time, produce very profitable results . In short, it is very similar to Hagakure , and is based on carrying out campaigns based on Maximizing Clicks , using pure broad match.
Harnessing the potential of machine learning
In recent years, we have seen automation come to Google Ads. Automatic bidding and machine learning have become the protagonists of strategies and account structuring. We know that, in each auction, Google takes into account more than 200 indicators to decide the result that will appear in the SERP: device, gender, age, search, time, history…
Old strategies have been gradually replaced by more simplified ones, where the volume of data and rules are more important. Royal Berl and the Japanese Hagakure were two pioneering strategies that emerged as a response to this paradigm shift.
Royal Berl is a system that allows us to achieve better costs and more conversions in Google Ads. How do we achieve this? By forgetting about granular structuring work , in which we grouped the keywords mainly by fairly close matches, even by exact match. With Royal Berl, what we want is to avoid this hypersegmentation work that makes us lose opportunities to appear for queries related to our active keywords.
First, we must create semantic keyword groupings , compartmentalizing our ad groups so that the intent and queries we attract are consistent with each other .
As soon as we heard about it, we decided to zalo database try it out to evaluate the results with our own tests, and it is true that in many cases we obtained surprising results. But wait! First of all, let's get to know or refresh what the Royal Berl strategy is based on.
What is Royal Berl?
The Royal Berl is a study that describes a combination of Google Ads tactics that, when activated at the same time, produce very profitable results . In short, it is very similar to Hagakure , and is based on carrying out campaigns based on Maximizing Clicks , using pure broad match.
Harnessing the potential of machine learning
In recent years, we have seen automation come to Google Ads. Automatic bidding and machine learning have become the protagonists of strategies and account structuring. We know that, in each auction, Google takes into account more than 200 indicators to decide the result that will appear in the SERP: device, gender, age, search, time, history…
Old strategies have been gradually replaced by more simplified ones, where the volume of data and rules are more important. Royal Berl and the Japanese Hagakure were two pioneering strategies that emerged as a response to this paradigm shift.
Royal Berl is a system that allows us to achieve better costs and more conversions in Google Ads. How do we achieve this? By forgetting about granular structuring work , in which we grouped the keywords mainly by fairly close matches, even by exact match. With Royal Berl, what we want is to avoid this hypersegmentation work that makes us lose opportunities to appear for queries related to our active keywords.
First, we must create semantic keyword groupings , compartmentalizing our ad groups so that the intent and queries we attract are consistent with each other .