# How Insider One Connects Snowflake Data to Customer Engagement

DevFeed: [How Insider One Connects Snowflake Data to Customer Engagement](<https://devfeed.tech/articles/from-snowflake-cowork-to-customer-action-78487.md>)

Original publisher: [Read original article](<https://medium.com/snowflake/from-snowflake-cowork-to-customer-action-c7c0ba38b774?source=rss----34b6daafc07---4>)

Author: Pradipta Dutta

Published: 2026-10-01T19:01:02Z

Content type: article

Language: en

Sources: [Snowflake Builders](<https://devfeed.tech/sources/snowflake-builders.md>)

Topics: [data-engineering](<https://devfeed.tech/topics/data-engineering.md>), [AI-Ready Data](<https://devfeed.tech/topics/ai-ready-data.md>), [product analytics](<https://devfeed.tech/topics/product-analytics.md>), [Snowflake streaming data architecture](<https://devfeed.tech/topics/snowflake-streaming-data-architecture.md>), [AI Chat](<https://devfeed.tech/topics/ai-chat.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [analytics](<https://devfeed.tech/tags/analytics.md>), [customer-engagement](<https://devfeed.tech/tags/customer-engagement.md>), [data](<https://devfeed.tech/tags/data.md>), [data-science](<https://devfeed.tech/tags/data-science.md>), [marketing](<https://devfeed.tech/tags/marketing.md>), [martech](<https://devfeed.tech/tags/martech.md>), [product](<https://devfeed.tech/tags/product.md>), [snowflake](<https://devfeed.tech/tags/snowflake.md>)

## AI overview

The article describes how Insider One's Zero-Copy Segment Builder uses Snowflake data to create customer segments for personalization, decisioning, journeys, and cross-channel engagement. Marketers can define audiences in business language, while data remains governed in Snowflake and only segment membership and metadata are stored in Insider One. It argues that teams can choose between querying warehouse data, synchronizing selected attributes, or retrieving current values according to the customer experience need.

## Source excerpt

From Snowflake Intelligence to Customer Action How easily can marketers turn all of that data and intelligence powered by Snowflake into an experience? Enterprise brands have built increasingly sophisticated data and AI foundations in Snowflake. The next opportunity is to connect that governed foundation with the decisioning, personalization, and engagement capabilities that turn customer intelligence into action. For many enterprises, years of investment in Snowflake have created a rich foundation for customer engagement. Transaction histories, loyalty data, product information, behavioral signals, predictive scores, campaign performance, and operational data can all contribute to a more complete understanding of the customer. Snowflake is also expanding what teams can do with that foundation through Customer 360 and Cortex, bringing governed data, models, analytics, and AI closer together. That creates a valuable starting point. It also raises an increasingly important question: How easily can marketers turn all of that data and intelligence into an experience? A marketer may want to reach Gold loyalty members with a high propensity to purchase, personalize an offer using a lifecycle score maintained in Snowflake, or build a journey around a churn model created by data science. The underlying data and models may already exist in Snowflake. Accessing them for customer engagement, however, can still mean asking the data team to translate a business requirement into SQL, build a query, and prepare an audience for activation. Insider One's Zero-Copy Segment Builder shortens that path. Marketers can define the audience they want to reach in business language and use Snowflake data to build the segment from within Insider One, without requiring a new data-team request for every campaign or audience. From there, the same Snowflake-powered audience can become part of the workflows where personalization, decisioning, journeys, and cross-channel experiences are created. Thi