Census Case Studies Unifying Audience Segmentation: Zip's Modernization with Snowflake & Census

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	Unifying Audience Segmentation: Zip's Modernization with Snowflake & Census Census

Unifying Audience Segmentation: Zip's Modernization with Snowflake & Census

Census

Applicable Industries	Cement Electrical Grids
Applicable Functions	Procurement Sales & Marketing
Use Cases	Leasing Finance Automation
Challenge	Zip, a global 'Buy Now, Pay Later' company, was facing challenges in unifying their audience segmentation. They were struggling to deliver consistent customer experiences across all channels, including their app and Braze, a customer engagement platform. The company was also unable to build granular segments and target specific user subsets due to limited access to their Customer 360 data. This was a significant issue as Zip integrates with thousands of merchant partners including Amazon, Best Buy, eBay, and Uber, and serves millions of consumers. The lack of a user-friendly interface for segmentation and syncs was another challenge, which increased manual work for analytics engineers and made it difficult for non-technical users to build and sync trusted customer lists. Read More
About Customer	Zip is a global 'Buy Now, Pay Later' company that helps millions of consumers access fair, flexible, and transparent payment options. The company integrates with thousands of merchant partners including Amazon, Best Buy, eBay, and Uber to deliver a better way for customers to pay. Zip's team comprises of Growth, Marketing, and Product departments. The company operates in the Fintech and Payments industry and uses dynamic audiences, in-app personalization, and marketing as their primary use cases. Read More
Solution	To overcome these challenges, Zip modernized their data stack with best-of-breed components, selecting Census, Snowflake, Fivetran, dbt, and Snowplow. Census’s data activation platform empowered Zip’s Growth Marketing team to segment audiences with all their data in Snowflake, and deliver unified experiences through Braze and in-app messaging. This solution provided Zip with full access to all the data they were collecting through Snowflake, enabling them to create segments that they were never able to build before. Additionally, Census’s user-friendly UI for segmentation and syncs enabled non-technical users to build and sync trusted customer lists themselves, reducing manual work for analytics engineers. Read More Log in to view content
Contents

Applicable Industries

Cement

Electrical Grids

Applicable Functions

Procurement

Sales & Marketing

Use Cases

Leasing Finance Automation

Challenge

Zip, a global 'Buy Now, Pay Later' company, was facing challenges in unifying their audience segmentation. They were struggling to deliver consistent customer experiences across all channels, including their app and Braze, a customer engagement platform. The company was also unable to build granular segments and target specific user subsets due to limited access to their Customer 360 data. This was a significant issue as Zip integrates with thousands of merchant partners including Amazon, Best Buy, eBay, and Uber, and serves millions of consumers. The lack of a user-friendly interface for segmentation and syncs was another challenge, which increased manual work for analytics engineers and made it difficult for non-technical users to build and sync trusted customer lists.

About Customer

Zip is a global 'Buy Now, Pay Later' company that helps millions of consumers access fair, flexible, and transparent payment options. The company integrates with thousands of merchant partners including Amazon, Best Buy, eBay, and Uber to deliver a better way for customers to pay. Zip's team comprises of Growth, Marketing, and Product departments. The company operates in the Fintech and Payments industry and uses dynamic audiences, in-app personalization, and marketing as their primary use cases.

Solution

To overcome these challenges, Zip modernized their data stack with best-of-breed components, selecting Census, Snowflake, Fivetran, dbt, and Snowplow. Census’s data activation platform empowered Zip’s Growth Marketing team to segment audiences with all their data in Snowflake, and deliver unified experiences through Braze and in-app messaging. This solution provided Zip with full access to all the data they were collecting through Snowflake, enabling them to create segments that they were never able to build before. Additionally, Census’s user-friendly UI for segmentation and syncs enabled non-technical users to build and sync trusted customer lists themselves, reducing manual work for analytics engineers.

Impact #1	The modernization of Zip's data stack with Census, Snowflake, Fivetran, dbt, and Snowplow resulted in more consistent customer experiences. Unified audiences between Braze and the Zip app ensured the same customers received the same targeted offers across all channels. The solution also enabled more powerful segmentation. With access to all their Customer 360 data, Zip teams could build granular segments and target specific user subsets that they weren’t able to before. Furthermore, Census’s user-friendly UI for segmentation and syncs enabled non-technical users to build and sync trusted customer lists themselves, reducing manual work for analytics engineers.

Impact #1

The modernization of Zip's data stack with Census, Snowflake, Fivetran, dbt, and Snowplow resulted in more consistent customer experiences. Unified audiences between Braze and the Zip app ensured the same customers received the same targeted offers across all channels. The solution also enabled more powerful segmentation. With access to all their Customer 360 data, Zip teams could build granular segments and target specific user subsets that they weren’t able to before. Furthermore, Census’s user-friendly UI for segmentation and syncs enabled non-technical users to build and sync trusted customer lists themselves, reducing manual work for analytics engineers.

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Overview

Unifying Audience Segmentation: Zip's Modernization with Snowflake & Census

Operational Impact