Big data can provide a lot of insight, but with so much information available, how do you figure out what’s important? After all, in a recent KPMG survey, 54% of professionals said their biggest barrier to a successful data and analytics strategy was an inability to figure out which data to collect.
Like any businessperson, you’re probably looking at page-level data so you can pinpoint purchase behaviors and customer preferences. But you may not realize that those metrics aren’t useful — unless you can understand exactly who your customers are and what makes them behave the way they do. Learn how over 700 companies are doing this in Gigya's latest guide, Making Sense of Consumer Data: A Guide to Responsible Data Collection & Application.
You’ll learn how to: - Tap into better sources of customer data.
- Tie clickstream behavior and demographic data to a user profile.
- Apply insights to third-party applications to improve performance.
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