We welcome Erin Franz, data analyst at Looker, to the Segment blog! Looker is a Segment integration which allows you to explore and visualize the data you collect with Segment, in Looker. Last week, Looker launched Data Actions—yet another way for customers to interact with their Segment data on the Looker platform. Erin will share how you can take advantage of Segment Sources and Looker Data Actions together to operationalize your data.
According to Comscore’s 2016 Mobile App Report, mobile users spend 9 out of 10 minutes using only their top five favorite apps. Companies are fighting for a coveted spot on that short list, and these days, a highly engaging app isn’t a nice-to-have — it’s a necessity.
At Segment, we’re constantly looking for new ways to help our customers. Our core mission is to simplify how you collect, unify, and act on customer data – by adding brand-new integrations like Google BigQuery, for instance, or providing expert insights on building your marketing stack for 2017. But we also do plenty of helping in our day to day, when our thousands of customers reach out to us looking for help and advice.
It’s almost 2017, and our new year’s resolution is to make our modern marketing stack as innovative as possible. Here at Segment, our marketing team takes a twofold approach to planning for the future. We foster a strong data-driven culture which helps keep everyone aligned around common information and goals. And we use that data to experiment with improving our targeted marketing and customer experience.
Like many of our peers in the SaaS space, Segment’s growth team is ruthlessly focused on increasing the number and quality of leads for our sales team. For us, that means more companies completing our Signup form. But we don’t just want more companies signing up — we also want our sales team to have a more comprehensive understanding of our customers.
A tracking plan is a document or spreadsheet that’s used across an organization, serving as both a project management tool as well as a reference document. It generally contains three key pieces of information:
When it comes to your app, size makes a difference. Bigger apps have fewer downloads, worse reviews, and a harder time penetrating the international market. Check out our infographic to get the stats and learn what you can do to prevent app bloat.
A customer data platform’s most important job is making the entire customer journey accessible across all the major touch points. Segment focuses on collecting 10 core customer data streams: mobile, web, server, offline, support, sales, email, marketing automation, advertisement, and payments. It’s fairly rare for us to see customers collect data from only one source. In fact, 90% of our business tier customers collect from multiple sources, and the average is 4 or more sources.
At Segment, we’re working hard to make our mobile SDKs the best possible collection options for your analytics data. An SDK can make your data more durable, minimize data transfer, and optimize your app’s battery usage. In this article, we’ll take you through what happens under the hood as a piece of data flows through our iOS and Android SDKs from a button handler in your app all the way through to our API.
Capturing high quality customer data on mobile devices is essential to making products that customers love. But the process to capture that data can be tedious. We polled attendees at our recent WWDC meetup—a mix of engineers, data analysts, and growth marketers—on their biggest mobile data challenges.
Leanplum, a mobile marketing platform and Segment partner, released a new data science report, “Personalize or Bust: The Impact on App Engagement.” We analyzed 1.5 billion push notifications. The big finding? Personalization increases open rates by up to 800 percent! That’s pretty huge.
Python, one of the most popular scripting languages, is also one of the most preferred tools for data analysis and visualization. In addition to the broader Python developer community, there is also a significant group that uses Python to analyze data, draw actionable insights, and make decisions.
Sales teams play a critical role in driving growth at b2b companies. However, throwing more warm bodies to make phone calls is not the best way to get to that hockey stick curve. The sales process has its own wealth of complexities such as identifying the best opportunities to focus on, determining the most helpful content to give to prospects at the right time, and knowing which marketing channels generate the highest quality opportunities. Before you can reliabily and predictably scale revenue, you need to understand and optimize these dynamics.
Do you have a single source of truth for your data? As our customer Ole Dallerup, VP of Engineering from Trustpilot says, “your data is useless if it’s not in one place.” The problem with disparate data sources is that your insights stop with the walls around your data — in your CRM, in your funnel analytics tool, in your email platform. How does one part of the customer experience influence another? What’s the root cause of a behavior? These are the kinds of questions Trustpilot is answering with Segment Sources.
Predict churn, reach out to customers at just the right time, improve retention and increase new sales, upsells and cross-sells—the promises of a robust customer success program are practically a recipe for success. They might even sound too good to be true, but they make fundamental sense. When you provide your customers with the support they need to achieve their desired outcome, your success and their success go hand-in-hand.
As Head of Customer Success, I wonder whether we should continue to offer support on our free tier because it’s been hard to nail down the costs and benefits. Adding support as a feature is becoming more popular in the SaaS industury. For example, Optimizely recently switched to two plans, and you only get email support as an enterprise customer. My concern is: what if we’re spending too much time supporting very small customers, and it is prohibitively costly to the business?
Data is powerful because it’s black and white. It’s concrete. Data takes the guesswork and gut calls out of decisions. And data has helped transform marketing’s perception from fluffy and “arts and crafts” to a role that is crucial to driving growth and predictable revenue.
We’re all tired of hearing about “big data.” But if you want to learn how to use data to accelerate your company’s growth, don’t tune out yet. As consumers, we are producing more data than ever before: by some reports, as much as 90% of the world’s data was created the last year. The Internet in Real-Time clearly illustrates the stupifying amounts of data generated on the open web.
In December 2015, Slack announced it would invest $80 million into Slack bot startups. This comes as no surprise for Slack’s 2 million daily active users, and bolsters its strategy to create an ecosystem of productivity and collaboration services. There are already over 4,000 Slack integrations (in addition to 150 official apps) which have over 2.2 million installs. The community is finding Slack useful for nearly everything. And we believe this is just the beginning.
This time of year, many of us are cooking up New Year’s resolutions to kickstart our personal growth — Hit the gym 3 times a week; be kinder; read 5 books. But what about resolutions for our work lives?
As mobile user acquisition costs skyrocket, push notifications are becoming a key strategy to keep your users engaged past the install. However, choosing a push notification tool can be a job of its own.
As a data infrastructure company, we collect a lot of data for the purposes of -airquote- “making better decisions.” But we’ve found, that just having this data doesn’t help. If our team is going to use it on a daily basis, we need to put it right in front of their faces.
Here at Segment, we love frameworks and data. Frameworks help us organize and understand the world, and data helps us stay focused and monitor progress. So, it’s no surprise we use them both to help us project future growth and figure out how to hit our lofty goals.
This is the second part of “Make Data Actionable: Embed Product Usage Data into Salesforce”. We’ll dive into building custom Zendesk apps for our success team to improve resolution time and keep our customers happy.
Like many startups in the early stages, at Peruse.io we’re working on finding product market fit. In this post, we’ll share our process for finding it and the tools we use for user testing, customer development, and data analysis.
As growth marketers building a community for other growth marketers, data is a key component to our success. We’re meticulous about defining our metrics and tracking the necessary events to measure improvement.
Minicabster, a London-based cab company, realized that the campaign interaction data provided by their advertising, email, and social media platforms wasn’t enough to personalize their messages to each user. Instead, they wanted to incorporate data about how riders interacted with their app and website into these campaigns.
Today, a surprising 61% of marketers in the US still rely on basic batch and blast emails to communicate with their audience. Only 4% have “graduated” to marketing automation, or creating email campaigns based on the personal experience each user has in your product.
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.
The mobile commerce (m-commerce) space has grown 42 percent annually for the past four years—more people are becoming comfortable spending money on their phones, and more retailers are investing in mobile to woo these small screen shoppers. But as the market grows, so does the competition for thumb space and user retention.
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.
For the first couple years at Segment we solved most of our biggest business problems using regular ol’ gut instinct. Everyone was in constant conversation with our initial customers, so it was okay to use intuition to choose our pricing model or prioritize new features. But as we’ve grown, we needed a more analytical approach. About six months ago we started using SQL for analysis, and that’s completely changed how we answer questions about our business.
Analyzing your behavioral data in a SQL database with tools like Segment Warehouses and Looker gives you a few key advantages: You can customize all of your analysis to match your individual business – like defining user sessions based on how people use your product. And, you can make sure that you’re accurately connecting anonymous and logged in users with a universal ID.
We welcome Erin Franz, data analyst at Looker, to the Segment blog! This is the first post in her three part series sharing practical advice for common analytics conundrums: accurately identifying users, creating sessions for user activity, and event path analysis.
Today we welcome CEO and co-founder of Kahuna, Adam Marchick, to the Segment blog! Kahuna is a kick-A push notification and analytics tool that’s now available on Segment! Check out the docs to get started. Now, onto tips for building user-centric notficiations!
Your analytics are only as good as the data you’re tracking. And deciding what to track is the hardest part about making your data useful. It’s overwhelming to create a tracking plan from scratch, so this article will give you a head start.
We welcome Derek Steer, CEO of Mode, to the Segment blog! Mode is a SQL integration partner and has created these open source queries so you can start learning ASAP. The best part? Their playbooks are tailor-made for the Segment SQL schema.
We welcome Harry Glaser, CEO of our SQL partner Periscope, to the Segment blog! Harry’s talking cross-database joins on the heels of our Amazon Redshift launch. If you want to analyze behavioral data across platforms, and Excel won’t cut it, here are some tips to level-up your analytics game.
Last week, we announced new support for popular ecommerce platforms including Goodsie, a stylish store builder with neat customers like Church of Merch, The Boomcase, and Strolby. We sat down with Jonathan Marcus, founder and CEO of Goodsie, and Jeremy Mora, founder and CEO of Church of Merch, to learn more about how merchants are using Segment on the Goodsie platform.
Last week we announced new ecommerce plugins for online merchants to integrate analytics and marketing tools with zero code. Here’s a conversation with our platform partner at WooCommerce, Joel Bronkowski. He’s given us the inside scoop on WooCommerce, the Segment plugin, and why WooThemes follows the model build, measure, learn. Read on to learn more!
Today, we announced new support for online retailers to get up and running with analytics in minutes. Our plugins for Magento, WooCommerce, WP eCommerce, and Goodsie ecommerce platforms let online merchants install Segment, and turn on any tool they want to use in seconds. And, our Ecommerce API sits underneath the plugins and works for any company that’s selling stuff online.