Product Updates

Amplitude’s Sources and Destinations panel provides a centralized, code free way to import and export data to our integrated partners. It allows you to operationalize the insights your team creates in Amplitude across the rest of your stack - for manual analysis, for customer engagement, experimentation, etc.We’ve expanded the reach of Destinations with a new self-service UI to export Amplitude data to your own Snowflake account. This is included in all paid Amplitude plans and is supported in all regions. Through this feature, you can maintain ownership and privacy of your data warehouse, as well as perform maintenance, administration, and customization work on your own, without needing support from Amplitude engineering. Amplitude's previous data sharing service, Snowflake ETL, is undergoing the sunsetting process. If you are currently using Snowflake ETL, please reach out to your success manager for guidance on migrating to the self-serve export, or visit the self-service instructions here: https://help.amplitude.com/hc/en-us/articles/360059057052-Export-Amplitude-data-to-Snowflake

To provide more guidance to new users, we’ve launched two newly designed onboarding flows for implementing data sources and inviting new users! That way, new users can get data in quickly and experience the value of Amplitude.Data Connection Experience: We’ve redesigned how customers connect data sources and destinations with Amplitude. Sources & Destinations are independent pages accessed through the sidebar and less actions are needed to create new connections.New Invite Flow: New orgs now have a guided flow to invite other users if they are not a developer, to reduce time to instrument, and build early vitality in an organization. 

Charts in Amplitude aren’t always intuitive - to understand rates of change or improvements over baseline often requires mental math, a ruler, or a calculator. Chart Takeaways offer summary statistics beside funnel and event segmentation charts, to make it easier easier to comprehend the meaning and implications of the data!

We’ve added a few new enhancements to the Computations workflow in Audiences to:You can now compute the first or last value of a user event. With backend enhancements, Computations which used to take from 5-10 minutes now run in seconds. Inside the computation details page, we’ve added a call-to-action button to create a new Analytics chart from within Recommend. 

You can now generate and create code embeds out of Charts, Notebooks, Dashboards, and Cohorts! These embeds allow content in Amplitude to be visible to unauthenticated users much like public links. You can then attach embedded content to your own HTML pages, as well as manage + deactivate embeds as wanted. 

We've worked with Okta to create a provisioning application inside their catalog of integrations! This allows administrators to create, manage, and de-provision Amplitude membership within an organization almost entirely within Okta, including permission groups that allow management of permissions at an app permission level.Any organization that needs to provision users at scale will now be able to invite users, permission, and deactivate users within the Amplitude Product, rather than manually.The Okta integration is available to customers on the Enterprise plan.

The Session Analysis Workflow is similar to the user sessions chart, except it renders all of the measures (Total sessions, Avg Per User, Avg session length, time spent per user, and session length distribution) at the same time. When users add an event filter, all of the sub-charts update together. This experimental feature will help novice Amplitude users get more insight with less effort!All paying customers are able to opt-in to this new experience in the Users Sessions Chart. 

Last month, Amplitude launched Experiment, an experimentation and feature management solution powered by analytics and customer behavior. Experiment is the first solution to provide a complete, end-to-end workflow from hypothesis to analysis that empowers organizations to scale experimentation across teams and make bigger bets that drive growth.When it comes to experimentation in your digital product, nothing is more important than the process. The process ensures that you have the highest chance for success—a result with a clear next steps—so that you don’t waste precious resources or steer your team down the wrong path.In Experiment, that process is Design, Rollout, and Learn. Through those key phases, we compiled every step—from hypothesis development to targeting to measurement—into a single page. Not only is it easier to manage your experiments, it helps you ship better tests because you start and end with your customer data. Check out a demo video below, and read the full launch blog here. 

Our vision for Amplitude is a proactive one, where meaningful insights are delivered to our Customers, with little to no data digging required. At a minimum, customers should be notified when a spike or dip occurs in their KPIs, but it’s more important to understand why. In the past, identifying why changes occured required random guess work, manual group by-filters, or “eyeballing” charts - all of which could take hours. With Root Cause Analysis (RCA), a new view within Anomaly and Forecast, you can identify the cause of your data anomalies in seconds, at the click of a button. To quote one of our Customers, Hubspot, “RCA literally saved us hours, if not days worth of debugging work and we love it.”When you run RCA on a detected anomaly, Amplitude analyzes the properties of the anomalous event, and ranks their impact on the change by significance. RCA even factors in external context like region-specific holidays and recent releases in your product.To give an example, say your active user metrics plummeted, due to a service outage on the west coast. RCA would identify users in Seattle, Portland, and San Francisco as the leading contributors to the change, right away. This level of causal analysis used to be possible for only the most analytically savvy users in Amplitude. Now anyone on the team can do it, which means less time spent digging through data, and more time optimizing your product experience.

Today we’re launching Amplitude Audiences, a new personalization product that gives all digital companies the power to produce personalized experiences at scale; accelerating your roadmap by years, increasing conversion lift—often by double digits—and reducing the cost by millions.This self-serve platform guides you through each step of personalization—from mapping the right user to the right message at the right time, via a collection of three new sets of functionality:Segmentation: Enabling marketers to find the best customers to target via Cohorts and Computations Recommendation: Enabling product teams to automate the next best message or content for those customers to receive via Predictions and Recommendations Delivery: Enabling anyone to export their segments and recommendations into any digital channel via APIs and SyncsPowered by Amplitude’s AutoML system, the new Recommendations capabilities enable you to create personalized experiences just like Netflix or Amazon. Once the right user has been identified, Amplitude Recommend determines the right assortment of content, products, and messages that are going to increase the likelihood to convert.Check out a quick demo of recommendations below, and read the full launch blog for more details here! 

We are thrilled to announce several new data management capabilities to proactively surface issues in your data. These updates enhance our existing data management experience—Govern—with the addition of new tools to help your team audit data, spot unusual events, and keep taxonomy consistent across your team’s usage of Amplitude. This includes automatic error detection in your data, shortcuts to improving your event taxonomy, and  better visibility into data consumption and team usage reports.Mistakes happen even with best-in-class data management tools and practices. Sometimes the best way to fix a mistake is to drop invalid data altogether. Drop Filter—a new data filter in Govern—allows you to remove specific event data from your charts at query time. These events are not deleted, and can be restored to your charts simply by editing or deleting the Drop Filter.Furthermore, sometimes a valuable customer metric is not captured explicitly in event data, but can be derived or inferred from existing properties. With the new Derived Properties feature in Govern, you can create new events and user properties on the fly, without having to update your instrumentation. You can perform manipulations and calculations and save the new derived property for new analysis without additional instrumentation work. Read the full launch blog here to start proactively governing data at your organization!

We’re pleased to announce Executive Reporting, a series of powerful upgrades to our Dashboards that help leaders monitor digital business performance. Customers can now set and track progress to a target metric, add critical context as notes throughout the Dashboard, and more flexibly customize the layout of any report. These additions make it easy for leaders to:Report on product health Track against targets Monitor performance changes over time Drill into critical insights wherever they need themSee our launch blog here for more on why we built Executive Reporting, and the powerful use cases it unlocks!

The User Sessions chart helps you understand customer engagement through a session-based lens. In Q1, Amplitude brought new capabilities to User Sessions that enable you to easily measure time spent in your product, and to measure engagement with specific features within sessions. Media, gaming, or streaming companies measure their success based on the time customers spend engaging with their products, and their total customer engagements. By working with customers like NBC, we’ve identified which time spent metrics provide the most valuable insights to engagement focused product teams, and addressed them with four new features: Total time spent: Graphs the total sum of all session lengths within the interval. Average time spent per user: Graphs the average amount of time spent in sessions per interval (total time spent / total active users). Total session counts: Graphs the total number of sessions across all users. Customizable session duration bins: Allow you to customize duration bins in session length distribution to better fit your product, or to create cohorts of users with a specified session length for further analysis or targeting.  In addition, you can now measure feature engagement per session through the Events performed within sessions toggle, and three new charts views: Average events per session: Graphs the average event counts across all sessions from all users within the chart interval. Total events across sessions: Graphs the total number of events across all users within the interval. Total session counts: Graphs the total number of sessions across all users.  

You can now view metrics for charts with multiple series on dashboards, and toggle which series to visualize. We’ve also added descriptive labels along with matching series colors to make it easier to understand the metrics you’re viewing. This is available for event segmentation, sessions and revenue charts on saved dashboards. This can be set up by clicking the options icon on a chart saved to a dashboard, and clicking “Show Metrics.”

You now have the ability to add your own X-Axis chart labels to bar charts! Simply double click on the event name to customize the text, or delete your custom text to revert to the default name. These can be applied to the following chart types:  Event Segmentation (Uniques, Totals, Avg, % Active & Formulas), and Funnels (Conversion). 

Sometimes a valuable customer metric is not captured explicitly in event data, but can be derived or inferred from existing properties. With Derived Properties in Govern, you can create new events and user properties on the fly, without having to update your instrumentation. You can perform manipulations and calculations and save the new derived property for new analysis without additional instrumentation work.For example, say you may want to measure site visits by referrer URL, but group the values by domain. You derive a new property to strip the complete URL down to just domain and host information, like this:This will convert a value like “https://www.google.com/search?q=amplitude” into just “www.google.com.” In addition, Derived Properties support mathematical, and nested operators.

Amplitude-iOS has added support for Apple's watchOS platform, enabling customers to instrument their Apple Watch apps. With this feature, our iOS SDK is fully cross-platform and our customers can now integrate Amplitude with all Apple products.For full documentation on our iOS SDK, see our developer’s center here: https://developers.amplitude.com/docs/ios

We’ve added support for event filtering in user sessions charts. You can now select multiple events they want included in sessions analysis, filter by how many times that event was seen and filter on specific properties for those events. This allows you to limit analyses like time spent to customers who perform specific behaviors, like play song or video.

Ever wanted to add contextual notes to an individual chart on a dashboard? This is now possible with Dashboard Chart Notes. When hovering over a chart, you will see a new "Add Note" button. Once a note is added, it can be edited/deleted by the dashboard owner(s), and viewed by non-owners.  We currently only support a single line displayed below each chart, but upon clicking the note a modal will appear allowing a full view of the chart note (with no limit on length).  

React Native SDK V2 is an entirely new SDK, built from scratch, focused that provides all of the necessary API's to use Amplitude effectively in a React Native application. This new SDK takes a mobile first approach by leveraging React Native's ecosystem, making it much easier to introduce Amplitude into a cross platform mobile app.React Native SDK V2 is built as a layer on top of the existing iOS and Android SDK's, so it will automatically update with any additions, improvements, or modifications to these SDK's. It also leverages TypeScript to provide strong typing of the API, which makes for a better developer experience

We’ve updated the auto binning behavior in sessions charts. The auto bin size is now determined via a bin-scoring function using standard deviation, fraction of items in min/max bucket, and # of non-zero-valued buckets. Users can customize the min, max, time unit and interval size for the histogram configuration.See here for our help docs on setting up a user sessions chart.

Mistakes happen even with best-in-class data management tools and practices. Sometimes the best way to fix a mistake is to drop invalid data altogether.Drop Filters—a new data filter in Govern—allows you to remove specific event data from your charts at query time. These events are not deleted, and can be restored to your charts simply by editing or deleting the Drop Filter.See drop filters documentation here. 

Available to customers on the Scholarship, Growth, and Enterprise plans. Digital products have moved beyond the linear, session-based experiences product analytics was designed for. In order to build the next generation of products, teams need to analyze the big picture of their customer journey and individual user behaviors simultaneously. Now, Amplitude makes this possible with Journeys: an industry-first solution that analyzes the breadth and depth of your customer journey. Journeys hones in on the two events that matter most–the starting point for new users, and the moment they achieve a target outcome. It surfaces the paths and behavioral patterns between these two events, so your team can understand what drives customers between states like free to paid, trial to subscribed, or new user to high-value customer. Learn how to start using journeys here.  

Currently in closed beta, for customers on the Scholarship, Growth, and Enterprise plans. Please contact your customer success manager for access. Learning a new analytics system comes with inevitable confusion about the event taxonomy: “Should I query ‘Signup,’ ‘Sign-Up,’ ‘signup,’ or sign_up’?” With Event Explorer, Amplitude has completely reimagined the learning experience for new analytics users.  The interactive tool tracks your designated user ID as you interact with your own product features, and displays their corresponding Amplitude events and properties in real-time. You can also apply these events and properties to charts directly from Event Explorer. So whether you’re a first-time Amplitude user trying to ramp up, or an experienced user analyzing a new feature, you can click around your product, locate the correct event names, and build analysis in one seamless experience.  

Currently in closed beta, for customers on the Scholarship, Growth, and Enterprise plans. Please contact your customer success manager for access. In the trenches of product development, sharing is often an afterthought and almost always requires you to retrace your steps. Breadcrumbs eliminates this extra work. As you dig through your data you can bookmark thoughts, chart views, or user segments and Breadcrumbs loads them into a Notebook automatically. This means you can discover insights and tell a data story in the same workflow, so collaboration becomes second nature.To start using breadcrumbs, click the icon on a saved chart, and follow the additional instructions in our documentation here.