Rudderstack blog

Customer interactions tell a story, but capturing them is just the beginning. This post provides guidelines for event tracking and how it can help you understand customer intent.

In this post, we’ll explain how automation in modern data integration streamlines ingestion, transformation, and delivery workflows, especially in complex cloud environments.

In this guide, we’ll break down the core categories of big data tools, explain how they work together to support scalable data operations, and outline key features to consider when evaluating solutions.

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.

Run RudderStack Data Apps on top of your Customer 360, and ship high-ROI data projects in days, not months. Configure and run accurate attribution and propensity models and enable real-time personalization. All without writing complex SQL or Python.

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.

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.

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.

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.