Segment is a customer data analytics and management solution that helps you understands customer data from multiple sources. The application integrates with hundreds of other apps and collects data from these applications to a single platform. It also retrieves data from your websites and devices, such as mobile phones, tablets, browsers, smart watches, iBeacons, and televisions. Segment is designed explicitly for B2B service providers who need a powerful and easy-to-use analytics tool to understand better and manage their data. Segment makes it easy to capture data from each touchpoint and send it to each tool without having to learn, test, or implement a new API each time. This solution helps your organization easily integrate and manage scanning tools without having to open, close, or exit the system. As data analytics becomes a simpler process, Segment reduces the need for marketers to trust high-tech specialists to help them because they can now administer analytics tools.
| Support | Business Hours Online | Customer Type | Large Enterprises Medium Business Small Business |
| API | NA | Location / Phone Number | San Francisco, CA - 94111 / +1 415-603-6900 |
| Deployment | SaaS/Web/Cloud Mobile - Android Mobile - iOS | Category | Data Management Software |
Disclaimer: The pricing details were last updated on 04/12/2018 from the vendor website and may be different from actual. Please confirm with the vendor website before purchasing.
Segment is Data Management Software. Segment offers the following functionalities:
Learn more about Segment features.
The pricing for Segment starts at $120.00 per month. Segment has a single plan:
Segment offers a Free Plan with limited features. They also offer an Enterprise Plan for their product.
Learn more about Segment pricing.
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No, Segment does not provide API.
There are many features I love, but the two that stand out to me are analytics.js and the debug console.
Analytics.js eliminates duplicate code, lesses the possibility of errors, and ensures all of your analytical platforms are consuming the same events.
The debug console is the first place I visit if there is an error. It gives you a single interface where you can filter events in real-time, see the data object, and review any consumption errors.
Sometimes the documentation is not correct and debugging custom events that are not firing correctly.
Implementing advanced analytics can be a tedious job. And when you add multiple platforms (ex. FB Analytics, Google Analytics, Marketing Automation Tracker,...) the complexity begins to become unmanageable. This problem is what Segment solves very well. With one library a customer can send correctly formatted information to all the platforms at once. One system to setup, one library to integrate, one service to debug.
The best part about segment is how easy it is to connect additional sources to test out and see if they give you the results you need as well as only having to integrate with segment and not each individual vendor
Nothing really it works as expected and works great
When you turn on a source, might be worth testing it out on a dev environment we had an instance where injected javascript caused collisions with our product. Otherwise, no issues.
As a product manager, there are many tools out there that I want to try to see if it will provide me with more insight, in the past I would have to bring in a story into a sprint to have a dev team implement this now I can just do it myself.
We at X-Cart use Segment since it's earIy days. I really like how simple is to enable a new system just to try. I don't remember when we spent time on new integration.
High cost for new users (and those who wanted to upgrade from archive plans). But this is business, I understand.
Give it a chance, definitely.
Time from an idea of attaching new system to integration is reduced from weeks to hours.
With features like computed traits, protocols, and now personas, my company is able to leverage the data from multiple tools to better inform our entire ecosystem.
Had a small bit of difficulty setting up computed traits, but that was mostly user error!
It's so sturdy and reliable. We've considered moving some of our native programs like lead scoring out of our different suite of tools just because we know segment is going to work every time. It takes an enormous amount of pain out of our day to day when we can link multiple data sets and bring insights from one tool to another without having to worry about manually enabling it with something like SPSS Modeler.
Clarity and centralization of our data efforts. It's very satisfying once the implementation is complete to feel confident about the orchestration of data amongst your tech stack.
