The holy grail of smart business decisions is a single view of the customer, from a single source of truth. Learn how to do that with Google Analytics! Francesco Canzoniere’s insight: Here’s a run-down of what this epic article we’ll cover: + Universal Analytics: Why don’t you love it more? + Universal Analytics: Why does your […]
Focus on running tests to identify the variables that do impact your audience. Start with using the funnel report to tell us how our website converts for a specific date range and then use cohort analysis (a cohort is a group of people who share a common characteristic or experience within a particular time span) in order to track how each group’s behavior changes over time.
With the advent of Big Data and faster and better data processing capabilities we are seeing a surge in predictive intelligence solutions; everyone is trying to predict the future to their advantage. The question though is, are they? Can the future be predicted? The main issue I have with predictive intelligence and “the next best …
The biggest shortcoming of predictive intelligence is that it looks for buying patterns to make “relevant” offers. The idea is that if it happened once in the past, will happen again in the same way.
The main problem of Predictive intelligence is that it is not possible to complete replicate twice the context and intent, the most advanced predictors of behavior, in which the buyer acts.
A new model, anticipatory intelligence, tries to account for context, intent, but more importantly for the many different possible scenarios – instead of next best step, tries to derive next most likely scenarios all with different likelihood of happening, and present them all as anticipatory steps.