Our marketing data exploration platform gives meaning to marketing data by using two powerful scientific methods:
Causal data science gives marketers the key insights they need for better business outcomes by determining the root cause of customer behavior. This approach was not just the hot topic for this episode of Revenue Science, but was praised by Gartner in its 2022 Hype Cycle.
Watch the episode to learn more about cause and effect in marketing!
Causal data science gives marketers the key insights they need for better business outcomes by determining the root cause of customer behavior. This approach was not just the hot topic for this episode of Revenue Science, but was praised by Gartner in its 2022 Hype Cycle.
Watch the episode to learn more about cause and effect in marketing!
What’s happening in the world of causal inference(CI)? Industry expert Judea Pearl shared his 2022 year in review, his report outlined the significant progress and challenges
It was only two years ago when Google announced that the death of the third-party cookie was on the horizon. Since 2020, digital marketers everywhere have
Data is the foundation of successful businesses today. From improving customer experiences to optimizing operations, it enables organizations to make well-informed, data-driven decisions