Uncovering Insights

For Real-time Decisions

The Data-Driven Marketer's Guides

Research, experimentation, and metrics used to be the hallmarks of informed marketing. They’re still important but as more data tools become available, marketers have new ways to enhance and utilize their customer data to gain insights.


Four areas marketers should focus on to improve marketing efficiency and deliver better customer experiences are:

Identity Resolution

Untangle the complex web of customer interactions that happen daily across your marketing channels. Identity resolution acts as a digital detective, piecing together information from all of your data sources to connect the dots between relationships that may not be obvious.

In the Data-Driven Marketer’s Guide to Identity Resolution, you’ll learn how identify resolution helps marketers:

  • Develop a unified, holistic customer view that can be used across your company
  • Optimize personalization
  • Create the right process for your business by using all methods of identity resolution
  • Drive marketing results for greater business impact

Multi-touch Attribution

Multi-touch attribution allows marketers to truly understand the performance of each campaign. The Data-Driven Marketer’s Guide to Multi-Touch Attribution includes:

  • Templates for multiple attribution models, including custom attribution
  • Workflows to ease error handling and reduce end-to-end latency

Predictive Analytics

Know what your customers will do next. In the Data-Driven Marketer’s Guide to Predictive Analytics, you’ll learn how predictive analytics help marketers:

  • Identify customers likely to churn
  • Make cross-sell and upsell recommendations
  • Predict maintenance and quality fulfillment with IoT monitoring
  • Predict features for product development
  • Forecast inventory and determine pricing
  • Calculate risk

Data Enrichment

Learn how to create a continuous data enrichment process for impactful audience insights. The Data-Driven Marketer’s Guide to Data Enrichment includes:

  • Key considerations for developing data enrichment methods
  • New processes for identifying missing data and filling in the blanks
  • How to always have the most up-to-date view of your customers