Rudderstack blog
News from RudderStack and insights for data teams
Feature launch: Snowflake Streaming integration
Feature launch: Snowflake Streaming integration
With our Snowflake Streaming integration, you can get customer event data from every source into Snowflake faster (and save on your Snowflake bill!). Read the launch blog to learn more.
Unified data platform: How it works & why you need one
by Ryan McCrary
Understanding event data: The foundation of your customer journey
by Danika Rockett
Event streaming: What it is, how it works, and why you should use it
by Brooks Patterson
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RudderStack Updates
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Introducing the Real-time Personalization Data App: Effortlessly deliver dynamic experiences
Leverage RudderStack to ship high-ROI personalization projects with velocity. Access data from your Customer 360 in real time to deliver tailored experiences – no complex SQL or Python required.
Introducing the Propensity Scores Data App: Ship actionable churn and conversion scores with velocity
You no longer have to choose between rigid SaaS solutions or maintenance-heavy DIY for predictive analytics. Easily generate predictive metrics from your Snowflake data and activate actionable insights in business tools and product experiences.
Introducing the Attribution Data App: Rapidly deliver accurate paid marketing attribution
Attribution analytics are complex, time-consuming, and hard to maintain. With Profiles and the Attribution Data App, you can solve the problem at the root and rapidly deliver accurate paid marketing attribution.
Beyond audience creation: Customer 360 data activation transforms results for every team
Data activation is bigger than any one use case. With a solid data foundation in your warehouse, you can rapidly build solutions on top for every use case to transform data activation efforts across your business.
How we built RudderStack’s real-time personalization engine
Building RudderStack’s real-time personalization engine involved tackling the complexity of creating dynamic website and app experiences by leveraging a clean identity graph and comprehensive customer profiles
LLM use case: Reducing Customer Success response times by 50% with RudderStack, kapa.ai, and Thena
At RudderStack, we enhanced our Customer Success response times by 50% using LLMs with kapa.ai, and Thena. Our LLM workflow efficiently enriches support tickets with customer data, enabling our TAMs to provide faster, more accurate responses
Build your Customer 360 on Databricks with RudderStack Profiles
RudderStack Profiles marks a giant leap forward for data teams that are striving to power their businesses with reliable, complete customer profiles, and it now supports the Databricks Data Intelligence Platform.
How we crafted a domain-specific language for JSON transformation at RudderStack
A guide for developers to create custom DSLs to address specific domain requirements, enhancing productivity and unlocking new possibilities in problem-solving.
How to use LLMs for customer data: Two prototypes
In this post, we explore how LLMs can be used for different customer data use cases and detail two prototypes we’re experimenting with at RudderStack: one to make customer success more efficient and one to unlock 1:1 personalization.
