Blog - All Marketing Technology

The purpose of a CDP is to collect all available customer data, first, second, and third-party, batch or streaming into one central location to serve marketing needs; all in real time. The ideal CDP is a tool for receiving both your known customers and anonymous, digital customers.

Now that you’ve established the foundation of your identity resolution strategy, it’s time to move to the next level. The walk phase of your identity resolution strategy should be focused on expanding the functionality that was established during the foundational crawl phase.

Identity has never been more critical for marketers than it is today, given the proliferation of digital and online channels and media through which consumers and brands interact. As marketers embrace the people-based marketing philosophy, having the processes in place to ascertain identity (referred to as “identity resolution”) is crucial to executing on the vision.

Adaptive Learning is a core capability of a decisioning platform that automates training, monitoring, and fine-tuning classification models to predict a specific customer behavior.

Customer data onboarding has become a gold standard practice for today’s marketers working to achieve people-based marketing at scale. Most companies understand what it is, and what the benefits are, but often overlooked are the intricacies and rigor involved in the partner selection process.

It’s the number-one goal of any company: creating experiences across channels to maximize the acquisition of new and the retention of existing customers. To do so, marketers must take a step back and look at the entire ecosystem that is part of the experience; make sure technologies are in place, communicate with each other, and then execute the experience.

We all know great creative when we see it; the power of cultural meaning through a universal truth that is also personally relevant. I love that moment, the “aha” — when a brand’s proposition and its story are in sync. Those moments are few and far between today, with the vast majority of advertising considered boring, non-engaging, and even worse — irrelevant.

Marketing organizations are left between two extremes in the era of big data — on one hand, there is an inordinate amount of data that, ostensibly, can be used to drive the business — and on the other hand, teams are spending more time organizing data, rather than completing value-add analytic work.