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What is this Block and what does it tell me?
Segment is a customer data hub that allows customers to track data from all their tools with a single tracking code, and then Segment servers integrates the data to the right application, in the right way. This allows you to follow individual user event streams and compare cross-platform analytics. A sampling of the many types of analysis that come with this Block include:
- Tie users across platforms to track individual or aggregate user event flows
- Sessionize individual user event flows to understand friction points in the consumer experience
- Compare cross-platform marketing campaigns to understand what is driving users to your webpage / product
- Optimize marketing and SEO with referral attribution
- Monitor business with a dashboard of critical metrics such as visit duration, high-traffic content, DAU, or MAU
- Customize event funnels to understand conversions along each point of your user’s event flow
- This Block comes pre-loaded with additional Analytic Blocks such as Sessionization
Data types and technical info
Integrations include many tools, including analytics tools, email schedulers, customer success tools, and a myriad of others. You can also check Segment’s partner site for the remaining integration partners. A sampling of these tools is included below:
Segment offers a product called Segment Warehouses, in which data can be piped into Redshift, Postgres, Google BigQuery, or Snowflake. Looker is an Integration Partner for Segment, meaning that users can connect their database to Looker and explore the Segment event data.
Examples
Please note that Source Blocks are only available to current and prospective customers. Please reach out to your assigned Looker Analyst for questions, assistance implementing this block, and access to the LookML code.
Included below are some sample screenshots of a few out of the many dashboards that can be created with this Block:
Pageview Dashboard
Sessions Dashboard
Event Dashboard
How to implement this block
Redshift or Postgres - The LookML for this block can be found in this Github repo.
BigQuery - The LookML for this block can be found in this Github repo
Snowflake - The LookML for this block can be found in this Github repo
You can either download the entire block into your Looker application by following the directions outlined here, or selectively migrate pieces of the block by simply copying + pasting the block LookML into your Looker instance.
If you don’t have a Github account, we encourage you to create one for easy access to this block. If you don’t have access to the repo, or cannot make a Github account, please contact a Looker Analyst or email blocks@looker.com and we’d be happy to help.
