Oliver is a Customer Intelligence Solutions Advisor at SAS. After spending nearly five years at Amazon.co.uk, he has expertise across a number of categories in digital marketing, customer insight and customer engagement roles. His focus now is on helping organizations improve their customer experience with hyper-personalization, optimization and automation.
I’ve written before about how most marketing leaders are underwhelmed by the results they’re getting from marketing analytics, and how intelligent hyperautomation offers the potential to transform performance by shifting from traditional manual campaign generation and execution to an event-driven approach to marketing. The next question is how to put
In the first part of this blog series, we explored a peculiar phenomenon. A recent Gartner survey indicates that over 50% of marketing leaders are “unimpressed by the results they receive from marketing analytics investments”, yet 85% predicted “significantly more” use of analytics by 2022. If the current approach isn’t
"According to Gartner, “over 50% of senior marketing leaders are unimpressed with the results they receive from marketing analytics investments” – yet most companies expect to increase these investments over the next few years. How can we avoid throwing good money after bad?" By Oliver Sheerin, Senior Customer Intelligence Advisor, SAS. When
Crucially, this data not only needs to be standardised but also it needs to be actionable. By that, I mean this behavioural data needs.
