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RudderStack is the CDP for developers. -

As customer data projects become more important, engineering teams are increasingly leading these efforts, collaborating with marketing, product and data science teams to reveal insights and drive the customer journey with data.

Unfortunately, they face a poor choice of tools to help them build the required infrastructure. That choice is often between closed solutions designed for marketers, which limit flexibility, or building everything from scratch, which requires engineers to spend time on low-level plumbing problems.

RudderStack’s goal is to provide developers with the open, flexible tools they need to build customer data infrastructure. As the leading open source Customer Data…

There’s never been a better time to be a data engineer, in large part due to the rapid innovation and rising popularity of modern warehouses and data processing tools. When working with customer data, though, collecting all of your relevant information in one place and making it usable around the organization is a non-trivial challenge.

Customer Data Platforms (CDPs) have tried to solve for data collection and activation, but unfortunately most of them make the problem worse by creating additional data silos and integration gaps. …

To take full advantage of analytics, it is essential to have an approach that allows you to effectively parse valuable insights from as wide an angle as possible, leveraging as much of your data as is available. According to a study by Gartner, poor data quality was one of the top three reasons organizations could not use analytics to make informed decisions. A warehouse-first approach to analytics addresses one of the root causes of poor data quality — siloed data in third-party tools — by creating a single source of relatable data.

The idea behind a warehouse-first stack is that…

Here at RudderStack we talk a lot about data, analytics, technical tools and occasionally football and cricket. We are self-proclaimed data nerds, and nothing gets our juices flowing quite like the topic of machine learning. For us, machine learning combines the critical sciences of engineering, programming and analytics with the creative (some might argue dark) arts of intuition, experience, language and behavioral psychology. But building a system to leverage and integrate Artificial Intelligence or Machine Learning is hard and can sometimes feel overwhelming from both a programming standpoint as well as a data collection one.

It should come as no…

We recently helped a customer migrate from Segment to RudderStack and decided to document it in a series of blog posts because we thought it might be useful to data engineers considering making a similar switch. In our last post, we discussed the differences between Segment Personas and RudderStack. As a follow up, we wanted to take a deep dive into how you can use tools like dbt and RudderStack Warehouse Actions to leverage the power of your data warehouse to sync enriched users, audiences and other datas to downstream tools.

In this post, We’ll walk you through the basics…

Turning Anonymous Into Known

Are you using Marketo forms and struggling to tie user form submissions with other actions they’ve taken on your site and in your product? Then keep reading. In this post, we’ll show how you can leverage RudderStack to track Marketo form submissions without disrupting Marketo or your marketing team.

By using RudderStack to understand how users are finding and interacting with your site and then combining that with the data collected by your Marketo forms, you’ll get deeper insights about your potential customers and provide higher quality leads to your sales team.

To set this up, first you’ll need to…

In this update, we cover two major feature releases related to sources and cover several new integrations.

Visual Data Mapping in Warehouse Actions (reverse-ETL)

We launched our reverse-ETL pipeline with a highly customizable, JSON-based configuration flow. Our customers love the flexibility because it helps them solve more complex data needs in their destinations.

There are many use cases, though, where configurable JSON is overkill. Specifically, when mapping columns to custom fields in a CRM or email tool, a UI can help developers deliver data faster.

With lots of customer feedback, we’ve released the first version of our Visual Data Mapper for Warehouse Actions, which allows you to…

We’ve helped many of our customers migrate from Segment to RudderStack. This is the second post in a series where we step through the process. The post will detail the steps involved in transitioning Personas functionality to RudderStack Warehouse Actions.

As the name implies, the goal of any customer data platform (CDP) is to create a unified view of your customers’ profiles and activity. Both RudderStack and Segment do this and both allow you to reconcile anonymous activity with known users. Both can also collect identifiable information and characteristics about the user or group, which can subsequently be sent to…

This update includes a few of our most requested features, which our customers are happy to see in production. Let’s dive in.

Event volume reporting

You can now track your monthly event volume in the billing section of the UI. This makes it easy to see how many events you’ve used and when your monthly billing cycle resets. Log in to see your current usage.

Why Migrate From Segment To RudderStack?

On the surface, RudderStack and Segment look like very similar applications. If you’ve already gone through the pain of standing up your Segment instance, you’re probably kicking yourself for not having read this sooner. But if you’re still on the fence about why you should switch from Segment to RudderStack, here are some things to consider:

The Fundamentals

RudderStack is a developer-focused CDP featuring robust APIs built to use your data warehouse. The bottom line is that we do not believe in holding your data hostage. For a full head-to-head rundown of the tools, check out our RudderStack versus Segment feature comparison.

Advanced Features


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