Objectiv now supports Hex: collaborate on notebooks and build beautiful data apps that are powered by Objectiv’s high quality product analytics data and pre-built models.
Developing an open standard for analytics tracking
In early 2021, our team of long-time data geeks started on the development of an open analytics taxonomy. The goal: to come up with a generic way to structure analytics data, so models built on one data set can be deployed and run on another.
Release: No surprises downstream with end-to-end testing of your tracking instrumentation
Starting on instrumenting analytics tracking doesn't mean you’ve stopped developing your product. Any data you track may change over time, possibly unintentionally. As a result, your data team needs to update their models, or find out where & when they broke unexpectedly.
In this release we’ve made it easy to build end-to-end testing of your tracking instrumentation, in order to catch any instrumentation changes early, before data is even collected.
Release: New Retention model in the open model hub
In this release we added a Retention Matrix model to the open model hub, that enables you to run retention analysis directly on your data store, with just one operation. No need for data cleaning or building complex SQL queries. Next to overall retention analysis, it also enables you to drill down directly; you can quickly segment each cohort and stack ready-to-use models on top, like which top features are being used.
Use the new model to drive product adoption by understanding to what extent users return to your product, whether that improves over time, and how each cohort behaves in detail.
Release: Helpful messages to debug your tracking instrumentation
Objectiv lets you model raw analytics data straight out of the box. This is partly enabled by early data validation against the open analytics taxonomy (also making instrumentation unambiguous and future-proof), and partly by helping developers set up tracking instrumentation with helpful tooling.
In this release we focused on the second part: we added links to relevant documentation pages in the Tracker SDK's Validation messages, to help you debug your tracking instrumentation.
Release: Predict user behavior with the open model hub
In this release we introduce new models to easily predict and analyze user behavior directly on data collected using the open analytics taxonomy, and seamlessly switch between the full data set or a sample. No manual cleaning, transformations, exporting samples or complex tooling required.
Introducing the Launchpad - a lightweight way to test Objectiv on your own app or website
Want to test Objectiv on your own app or website without worrying about the Ops part? Get a Launchpad: a free-to-use, fully managed Objectiv back-end and data store that’s ready to use for testing without any setup or configuration.
The Unbundling of SaaS Analytics
The modern data stack is on the rise. Many companies use raw data from their SaaS analytics tools as input for their data warehouse, but this introduces problems downstream. Are there better ways?
Release: User Intent Analysis
In this release we add new functionality to modeling library Bach and the open model hub that enable User Intent analysis on your raw analytics data. It comes with an example notebook to get started with your own analysis.
What if you didn't need a tracking plan?
The tracking plan. Every company that’s serious about analytics has one, but they are notoriously difficult to properly set up & execute. What if you didn’t need one?