Modern businesses create heaps of data. They also run countless models on a consistent basis to find results. These results help to prove a concept or point they are trying to make. With these results, stakeholders can make crucial data-backed business decisions. But this can all mean nothing if you don't understand whether or not the models you're running and resulting data are even valid.
Funnel analysis is the process of telling you who bailed and when -- but most importantly, why.
Companies that wrangle and organize the influx of marketing data for automated decision making have a competitive advantage. Marketing data science to include machine learning and AI have greatly enhanced our ability to do this.
Putting together an effective marketing strategy is crucial to the success of almost any organization. Connected marketing is a great […]
It's time that you begin applying this turnkey strategy to identify and analyze your target market.
Audience segmentation is the process of organizing your market into groups and sub-groups on the basis of shared characteristics.
The sustainability of any business can be attributed to its ability to market itself well. In other words, your sales […]
Demographic segmentation is one market research tool you should use to better understand your customers. Segmentation helps you create customer profiles that allow you to target your marketing strategies more effectively.
What is Media Mix Modeling? Deciding the best way to spend your finite marketing budget should be one of the foremost concerns of any marketing professional. Unfortunately, it’s not always easy to know the optimal allocation for these funds.
This statistics cheat sheet will serve as a quick primer in data science by explaining three concepts.