Today we have some exciting news to share! Segment has raised $27 million in Series B funding led by Thrive with Accel, Kleiner Perkins, and Jon Winkelried. We’ve come a long way from four guys in an apartment, and we still have a long way to go!
In Segment’s early days, our infrastructure was pretty hacked together. We provisioned instances through the AWS UI, had a graveyard of unused AMIs, and configuration was implemented three different ways.
You asked, and we listened! We’re happy to announce API updates and three new integrations for you to start using today. Read on to learn about updates to our querystring API, support for Google Analytics custom dimensions and metrics on mobile, multiple Webhooks, and Amazon S3 moving to our Growth Plan! Also, if you’re in the market for a new email marketing or marketing…
It wasn’t long ago that building out an analytics pipeline took serious engineering chops. Buying racks and drives, scaling to thousands of requests a second, running ETL jobs, cleaning the data, etc. A team of engineers could easily spend months on it.
We’re excited to welcome ClientSuccess, Natero, Parse.ly, Ramen and Webtrends to Segment. If you’re looking for a new tool in customer success or analytics, read on to learn what they can do!
We’re excited to welcome Orta from CocoaPods to the blog to discuss the new Stats feature! We’re big fans of CocoaPods and are excited to help support the project.
From user testing to support and predictive analytics tools, check out the latest Segment integrations you can turn on with the flip of a switch! Read on to learn about Appboy, Appcues, Apptimize, Elevio, Framed, and Wootric.
Note: Some of the features explained in this blog post have been deprecated. Tracking Plan is now called Schema and will only show data that Segment has received. The planning of new traits via the UI is no longer available.
Over the past few months at Segment we’ve been rebuilding large parts of our app UI. A lot of it had become impossible to maintain because we were relying on models binding to the DOM via events.
We’re excited to introduce the ability to view event properties the Schema.
The debugger has always given you insight into exactly what data you’re sending (in pretty and raw form), but it can be tricky to catch the event you’re looking for if your app has a lot of traffic. Not anymore!
This month, we have a bunch of new integrations to showcase that you can start testing with the flip of a switch. Read on for the scoop on how you can use Autopilot, Indicative, Sendwithus, Blueshift and Salesforce Marketing Cloud (ExactTarget) for analytics and marketing automation.
If you’re just getting started with your tracking plan, it can be tough to know what data to collect. With our new event catalog, you don’t have to start from scratch. You can add common events to your plan super quickly.
Marketing automation tools will make your life easier by, ya know, automating things. You don’t have to send a welcome email to every customer or follow up with folks who’re inactive individually. You can automate it. The tricky part is finding the right tool for you with a ridiculous number of options on the market.
Last week, we open sourced Sherlock, a pluggable tool for detecting third-party services on a given web page. You might use this to detect analytics trackers (eg: Google Analytics, Mixpanel, etc.), or social media widgets (eg: Facebook, Twitter, etc.) on your site.
Make is awesome! It’s simple, familiar, and compatible with everything. Unfortunately, editing a Makefile can be challenging because it has a very terse and cryptic syntax. In this post, we will outline how we author them to get simple, yet powerful, build systems.
Many of you have asked for a way to filter specific events from being sent to specific integrations. The answer is here: event filtering in Schema!
We’ve been running Node in production for a little over two years now, scaling from a trickle of 30 requests per second up to thousands today. We’ve been hit with almost every kind of weird request pattern under the sun.
No matter what scale app you’re working on, keeping track of user activity is critical to its success. Segment helps you collect data about what your users are doing, then visualize and manipulate that data with integrations for analytics, marketing, and more.
A few weeks ago we introduced the Schema. We want the Schema to help you manage and organize the data you’re sending to Segment. To realize that goal, we’ve shipped a few additions that should give you more insight into what your events mean, and help you keep your plan clean!
Last week, we put together a little event called Analytics for Good where Watsi, an awesome nonprofit that funds health care for people around the world, opened up their Segment SQL data for our partners to explore.
This week we’re very excited to share a brand new part of Segment with you: the Schema. It’s the easiest way to organize and manage all of your customer data.
Before I joined Segment, I was something of a Github stalker. Which is how I found Segment.
At Segment, we help companies record and manage their customer data. Our API has three basic methods: identify, track, and page/screen. These methods describe facts about customers. We often get asked why we don’t support recording sessions, and the short answer is that sessions aren’t facts, they’re stories.
In November, we announced a brand new product, Segment SQL, that transforms and loads your customer behavioral data directly into a hosted database powered by Amazon Redshift. This means you can go directly from a track call on your website and mobile app, to a cross-platform relational database, without lifting a finger.