Over the past decade, the role and scope of the typical enterprise
marketing team has changed significantly. Whereas marketing teams used to focus
primarily on brand-building at the top of the funnel, today’s marketers are highly
data-driven and increasingly focused on optimizing online targeting,
segmentation, personalization, analytics, and decisioning capabilities.
This shift comes as a result of a monumental transformation in
technology and data – in particular the exponential growth of customer data
available to brands. The behavioral data from websites, apps, and devices that
once took weeks or months to collect and analyze now takes mere hours, if not
While these types of technologies have traditionally resided in the realm of IT (and taken months or years to implement), new advances are making them more accessible to marketers. In many cases, there’s no need to wait on IT for quick projects – marketers can access, analyze, and act upon behavioral data in weeks.
IT teams work at a slower pace for good reason. Many times, those teams are focused on building broader architectures that solve multiple problems — meaning it can be a difficult and prolonged process to get their sign-on for smaller projects. Such large projects may focus on cost reductions, automation, and cloud migration. And while these are important issues to tackle, it leaves IT little time to work on fast-paced marketing initiatives. Marketing technologies put marketers in charge of their own fate; empowering them to track the visitor’s journey, build scores, and enact data-driven actions based on digital activity.
A Collaborative Marketing AI Solution for Marketers and Digital Analysts
Syntasa’s expertise lies in exploiting behavioral data to drive
actionable decisions. Our Synthesizer product ingests data from Google, Adobe,
and various other marketing technology systems. Then our Identify Graph gives
you visibility into a visitor’s behavior. This includes impressions, clicks,
sessions, views, products viewed, events, purchases, subscriptions, and cancellations.
This kind of information paves the way for delivering personalized product
recommendations and relevant content to visitors based on their digital activity.
Our customers are currently leveraging behavioral data to their advantage. For example, the marketing team at Dixons Carphone (a large electronics retailer in the UK) now owns their behavioral data pipeline. With Syntasa, they develop, process, and deploy their use cases to their activation channels. These are activities traditionally managed by busy IT teams who may consider them less pressing than other large-scale and ongoing enterprise projects. With Syntasa, the Dixons Carphone marketing team can query the data with SQL technologies, know where and how the data is stored, take raw first-party data and transform it, manipulate data tables, and much more.
It’s by taking the reins that modern marketing teams can show IT
the value of their work and gain buy-in for future projects. And when their IT team
is ready to get more involved, Syntasa is a platform they will love as well.