For years ‘big data’ has been talked about and utilized in a variety of ways. The most common methods in which non-profits leverage big data is to identify prospects for new donor acquisition and to model housefile donors to determine seasonality, ask and offer. It’s important to note that all these predictions are made possible through the power of machine learning algorithms.
Although digital has been a significant part of shopper marketing for a few years now, connecting with customers digitally on an individual, one-to-one level has been a challenge for the industry. Why? Because most of the data comes in the form of "audiences" and "segments," not individual journeys.