Are Customer Data Platforms an Engagement Silver Bullet?
The modern customer can appear in any channel at any time.
Blog
Increasing Customer Engagement and Insight with Mobile Location Data
The average adult is estimated to have spent almost two hours a day on their smartphone last year, and by 2020 there will be 20.4 billion connected devices in use, up from 8.4 billion in 2017.
Four Ways to Prepare for the Upcoming GDPR
The General Data Protection Regulation (GDPR) is a hot topic.
3 Reasons Brands Need a Customer Data Platform Right Now
Customer data platforms (CDPs) are designed for one purpose: to unify customer data across functional and channel-specific data silos into an always-on, always processing customer profile available throughout the enterprise.
Do I Have Enough Data to Optimize My Campaigns?
Is there a minimal amount of data required for campaign optimization?
Practical Machine Learning: The Use Case in Retail Banking
Despite all of the buzz about machine learning and AI, it's still relatively rare to see concrete examples of practical machine learning in action, much less driving real business outcomes.
6 Key Stages to Successful Data Orchestration
The concept of Data Orchestration is a new one and has yet to clearly be defined to the industry.
Household Marketing: Finding the Decision Maker and Avoiding Blunders
One of the principles of one-to-one relationship marketing is understanding the individual customer entity that you are interacting with.
What Should You Look for in a Customer Data Platform?
Interest in customer data platforms (CDPs) has exploded in the past five years.
Customer Data Platforms Help Transcend Omnichannel Uncertainty
Having a Wonderful Customer Journey, Wish You Were Here
What to Consider Before Implementing Predictive Modelling
The database marketing arena has been hit with a lot of buzzwords in the past few years.
How We Make Customer Support Seamless Using Treasure Data
The Treasure Data enterprise Customer Data Platform (CDP) helps the digital marketer segment audiences for vastly better personalization by uniting siloed data to achieve a 360° view of the customer.