Machine learning is like an old-fashioned warrior. You need to train it, direct it, and set its goals. What’s the difference? ML can learn from its mistakes instantly.
Machine Learning in Marketing Monitoring
ML needs a lot of data to train with. Which is better, to get our hands on a significant amount of data, or using marketing numbers, where a few million datapoints are generated every day? In modern marketing, you have the opportunity to change almost every aspect of your marketing campaign in just minutes, but how can you decide if the change would be right? First, you have MIS for the really obvious changes, of whether the KPI will go up or down?
But then with every change you risk a ton of things. Maybe you have given a few keywords in Adwords, which are regularly clicked by bots, costing you money? Or your new campaign results in people not performing as expected. A well-trained Machine Learning-based alert system can tell you in real time if you are going to have trouble.
Discover new clusters
Predict the future
How does it work with Marketing Monitoring?
Machine learning is not a base feature of our Marketing Monitoring services. As much as we like it, it is still in its infancy, it has its certain uses, but it’s not an all-round solution by any means. During our Planning phase (see Marketing Monitoring) we will evaluate the feasibility of an ML element in your project. If it will have a valid application, you can be sure that we will point it out.
Our Machine Learning solutions run on Microsoft Machine Learning Services, but can be deployed over any IT infrastructure and it is easy to connect it to our Marketing Monitoring solution.