Our mission from day one has been to enable data teams to share and reuse data models & analyses across any data store - to build on the collective knowledge of others.

Today we're taking another step in that mission, by adding support for building & running data models directly on Amazon Athena with Objectiv.

This release introduces a central Validation service, used by all Objectiv components to ensure data is collected according to the open analytics taxonomy. It’s available as a Docker image named objectiv/validator.

To easily analyze the performance of your funnels on your product goals, this release adds a new model hub operation called funnel_conversion. With this new operation, you can get an easy-to-digest overview that shows all the relevant metrics in one go, which you can optionally filter to any area of your product, timeframe, marketing campaign, etcetera.

In this release, we're announcing a fully managed version of Objectiv's powerful open-source analytics platform that connects to your own cloud data store. You can now run Objectiv at scale without worrying about the Ops part, while remaining in full control over your models and data.

With this release, you can now use Objectiv to collect privacy-friendly anonymized user behavior data, without setting any cookies. This means you’ll be able to get all the first-party user behavior data you need to improve your product, while being fully compliant with GDPR, CCPA and PECR.

In this release, we’re enabling you to self-host Objectiv's open-source analytics platform in under five minutes - 100% free & open-source, preconfigured with pre-built models, dashboards, and demo data.

One of the key ways to improve performance on your product goals is to understand where users drop off and how often they do, so you can optimize user journeys for better conversion.

In this release we enable you to use the open model hub to quickly find which locations/features drive users to drop off on any of your product goals, and how (relatively) often this happens. You can do this for your entire product, or just a subset.

In this release we enable adding Objectiv tracking to your existing React Components library, making it possible to instrument all your Components just once, and reuse them anywhere in your application with full analytics tracking support.

Any JSX element or custom Element/Component can now be tracked, while automatically capturing all relevant context, plus information about where an event exactly happened in the UI. You also also get the same autocompletion, typing, and validation tools as for Objectiv Components.

This release fits data captured by both Objectiv and Snowplow into the same schema, allowing anyone to run Objectiv in an (existing) Snowplow pipeline.

In this release, we made it possible to quickly build BI dashboards with common product & marketing analytics metrics, using the pre-built data models from the open model hub. Examples of these models are unique users, session duration, retention, top used features, funnel discovery, user behavior prediction, and more.