Align your business around the customer
When it comes to segmenting customers, relying on demographic information such as age, income, and geography will only get you so far. While demographics are a useful starting point, they don’t account for customers’ behavioral patterns or provide real insight into the problems they’re trying to solve–both of which are crucial when building thorough profiles.
Companies who do look beneath the surface are able to find common traits between customers that aren’t obvious. Using a combination of structured and unstructured data, you can more deeply understand your customers’ pain points, know which products and interactions are resonating with them, and tailor your approach accordingly. Here’s how RapidMiner can help you get started.
How a global creative agency tapped into data scienceBrandon Shockley of 160over90 describes the agency’s data science journey, from early prototypes to actionable consumer insights. Learn from some of the ways they are bringing machine learning into the market research workflow. Watch the full presentation here.
Related Resources. Take a Look!
Learn how this telecommunications company quickly identifies its most valued customer segments, reducing cost of sales and improving revenue opportunities.
Predictive analytics enables marketers to transform data into actionable insights & continuously improve strategies. Here are 10 ways it can be used to drive performance.
Learn how predictive marketing analytics can help engage your audience in all the different stages of a customer journey and maximize lead conversion.