The Lytics Blog

Pioneering the intersection between Customer Data Platforms, modern marketing, and data science one article at a time.

Tags use cases
By Craig Schinn on Sep 28, 2016

Journey Reporting: What B2C Marketers Can Learn From Their B2B Counterparts

Consumer-decision journeys are certainly less linear than business journeys, however, there are best practices that can help business-to-consumer marketers better reach their elusive — yet extremely valuable — omnichannel customers.

Marketers Journey Reporting Customer Journey Omnichannel Marketing Use Cases

By Craig Schinn on Aug 17, 2016

Use Lytics To Make Your Facebook Ads up to 40% More Efficient

Still running blanket, ineffective retargeting campaigns on Facebook? Here a few ways that Lytics helps you take advantage data science-based targeting and customer scoring to maximize your return on ad spend.

Marketers Customer Data Platform Facebook Advertising Retargeting Campaigns Use Cases

By Rob Shields on Aug 3, 2016

Understanding "Likely to Re-Engage" Users

Users that are "Likely to Re-Engage" are 10x more likely to engage with your brand. Let's take a look at how Lytics determines which of your users are "Likely to Re-Engage" and explore ways you can make the most of this coveted segment.

Marketers Customer Data Platform Behavior-Based Segments Likely to Re-Engage Use Cases

By Andrew Nhem on Jan 8, 2016

Personalized Email Is More Than A First Name: An Exploration

If we understand the intent of our customers through how they interact with our brand and web presence, there's no excuse for us to not send personalized, relevant email. If anything, we can be less annoying with our campaigns.

User Data Unification Use Cases Email Marketing Personalization Content Marketing

By Mark Hayden on Oct 23, 2015

Stop Pretending Your Insights Are Actionable: Part 1, Google Analytics

Most analytics tools are used purely for insight discovery rather than empowering action. We explore how the Lytics analytics integrations focus on action and filling the some massive gaps traditional analytics tools miss.

Developers User Data Unification Use Cases Analytics