The top 3 common-sense rules for using consumer data ethically
Leveraging rich consumer data for growth is both powerful and perilous. Luckily, avoiding the most dangerous pitfalls is simple.
Data discovery
A collection of 4 posts
Customer insight fundamentals: Understand your customer data to make better predictions
Most data scientists practice some version of what could be called a data survey; the goal is to surface meaningful patterns, gaps, and anomalies with an eye toward prediction.
Customer insight fundamentals: Data requirements for Customer Insights Reports
The rule of thumb is the more data the better. The more information our models can train off of, or the larger data set to glean insights from will allow for much more meaningful results versus just being based on a random or predetermined set of data.
What is customer lifecycle optimization and how does it work?
For nearly every B2C company, revenue is linked to the customer lifecycle. Leverage rich customer data and predictive analytics techniques to generate insights and make predictions that measurably improve outcomes at each stage of the customer lifecycle.