Videos

View our latest videos featuring product updates, enhancements, and webinar recordings.

How to Maximize your Data for BFCM

Having a data-driven strategy to help you optimize the busiest shopping season isn’t just an option - it’s a necessity!This webinar is design

Extracting Value from Customer Cohorts

In this webinar, resident experts Nick Appenzeller and Mitch Hartjes co-host a deep dive training on how to extract value from customer cohort

Channel Mapping and Attribution

In this Glew University webinar, we do a deep dive on understanding attribution and channel mapping and share how you can get powerful insight

Time Frame Comparison Analysis

In this Glew Plus webinar, we discuss the latest functions and features of time frame comparison enhancements and analysis for our users that

Ecommerce Investor Insights

The amount of competition that is out there for ecommerce businesses is enormous – and it’s continuing to grow as more and more stores introdu

Actionable Product Insights

Whether you have 10 SKUS or 1,000, it's critical to understand your product performance. Product analytics help you see what's working and wha

Looker Deep Dive

In this Glew Plus webinar, resident expert Nick Appenzeller does a dive deep into all things Looker (BI), focusing on the customer facing expe

Customer Segments

Of the four cornerstones of ecommerce analytics - the who, what, where and when - who you're selling to is one of the most important. After al

Lifetime Value (LTV)

In this webinar, we do a deep dive on lifetime value metrics and share actionable tips for driving gains in the short and long term.We cover:What fact

Average Order Value (AOV)

In this webinar, we cover:Where and how to track average order value in GlewMeasuring AOV by day of week, time of day, channel and moreHow AOV impacts

Purchase Frequency (PF)

In this webinar, we do a deep dive into purchase frequency and repeat purchaser metrics in Glew, including strategies for optimizing purchase frequenc

Glew Plus Architecture

The future of big data projects will revolve around no-code data aggregation, transformation, normalization, and reporting. At Glew, we're on